A Comparative Study of Living Conditions in Slums of Three Metro Cities in India
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TL;DR
This paper compares living conditions in representative slums across Kolkata, Mumbai, and Delhi using primary household surveys, finding shared disadvantages alongside major inter-city and intra-city differences. Mumbai slums generally perform better on many living-condition and social indicators, while Kolkata and Delhi’s Jhuggi Jhopri clusters are often worse off.
Key findings
- Average material-deprivation scores were highest in Kolkata (4.7), followed by Delhi JJ clusters (4.2), Mumbai (3.2), and Delhi resettlement/relocation colonies (2.0). Migrant-headed households were consistently more deprived than city-born-headed households, and in Mumbai and Delhi later migrants were more deprived than earlier migrants; Kolkata was an exception.
- Adult literacy was highest in Mumbai slums (89.6%) and lowest in Delhi JJ clusters (70.1%/70.2%), with Kolkata at 82.0% and Delhi RR colonies at 83.7%. School enrolment among 6–14-year-olds was high across all sites: 93.8% in Kolkata, 97.3% in Mumbai, 93.6% in Delhi JJ, and 97.0% in Delhi RR.
- Cooking fuel differed sharply: LPG use was 47.1% in Kolkata, 86.6% in Mumbai, 93.8% in Delhi JJ, and 98.2% in Delhi RR; kerosene use was 94.7% in Kolkata but negligible in Delhi. Sanitation access was also uneven: only 21.7% of Delhi JJ households had personal sanitation, versus 87.2% in Delhi RR, 29.7% in Kolkata, and 25.9% in Mumbai; 9.9% of Delhi JJ households had no sanitation facility.
- Mean monthly per capita income was Rs. 2,638.8 in Kolkata, Rs. 4,166.3 in Mumbai, Rs. 3,216.5 in Delhi overall, Rs. 2,675.9 in Delhi JJ, and Rs. 3,887.6 in Delhi RR. Mean monthly per capita consumption expenditure was Rs. 1,367.3 in Kolkata, Rs. 1,592.7 in Mumbai, Rs. 1,441.2 in Delhi JJ, and Rs. 1,563.6 in Delhi RR.
Methods
- The authors conducted a primary household survey in slums of the municipal corporation areas of Kolkata, Mumbai, and Delhi under the NOPOOR project. Samples were selected through two-stage stratification: first by borough (Kolkata), ward (Mumbai), or revenue district (Delhi), then by randomly selected slums and households within them.
- The survey collected 808 households in Kolkata, 1,228 in Mumbai, and 1,295 in Delhi, of which 864 were from Jhuggi Jhopri clusters and 431 from resettlement/relocation colonies. The questionnaire covered household-level information on housing, assets, migration, consumption, civic amenities, and individual-level information on education, employment, health, and migration.
- The analysis is comparative and descriptive. It reports distributions, means, medians, inequality measures, and a material-deprivation score constructed by counting deprivations across eight indicators covering housing, basic services, and asset ownership.
Limitations
- The paper states that its income and consumption expenditure data are comparable across the three cities but may not be strictly comparable with other major data sources such as National Sample Surveys and national accounts. It also notes that foreign migrants are likely understated because they do not systematically reveal that information, and that recent migrant households may be underestimated because many live on footpaths.
- The paper states that it could not survey the Walled City area of Delhi because slum population figures there could not be substantiated, despite reconnaissance. It also notes that further research is needed on why recent migrants are more materially deprived and that multidimensional poverty analysis involving non-material dimensions is left to a companion paper.
- Evident from the text: the study is cross-sectional and descriptive, so it does not identify causal effects; it covers only three metro cities and slum populations within municipal corporation areas, excluding footpath dwellers and other poor urban settlements; and it relies heavily on self-reported survey data.
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- Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
There are major cross-city differences in subjective wellbeing among the three cities.
“Moreover, there exists major cross-city differences in adult literacy rates across gender, consumption pattern, and subjective wellbeing.”
Quote in the paperSubstantial claim - Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
Large average household size is common across and within slums of the three metro cities (Delhi, Kolkata, Mumbai).
“We find certain characteristics, such as large average household size, poor housing quality, low female labour market participation and high school enrolment rates among children, to be common across and within three cities.”
Quote in the paperSubstantial claim - Findingreasoning§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
There is considerable heterogeneity among different groups within slums of each of the three cities with respect to living standards and access to civic amenities like sanitation facilities and drinking water.
“And that in turn brings out considerable heterogeneity among different groups within slums of each cities with respect to living standards, access to civic amenities like sanitation facilities and drinking water.”
- Also stated in: § 1. Introduction · p. 6 · plain
“we also recognize the fact that there exists considerable heterogeneity in living standards among the various groups of dwellers within slums of each city.”
Quote in the paperSubstantial claim - Also stated in: § 1. Introduction · p. 6 · plain
- Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
Poor housing quality is common across and within slums of the three metro cities (Delhi, Kolkata, Mumbai).
“We find certain characteristics, such as large average household size, poor housing quality, low female labour market participation and high school enrolment rates among children, to be common across and within three cities.”
Quote in the paperSubstantial claim - Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
Slums in Mumbai on average perform much better in various living condition and social indicators than slums in Delhi and Kolkata.
“Overall, we find that slums in Mumbai on average perform much better in various living condition and social indicators than slums in Delhi and Kolkata.”
Quote in the paperSubstantial claim
- Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
Low female labour market participation is common across and within slums of the three metro cities (Delhi, Kolkata, Mumbai).
“We find certain characteristics, such as large average household size, poor housing quality, low female labour market participation and high school enrolment rates among children, to be common across and within three cities.”
Quote in the paperSubstantial claim - Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
There are crucial differences between Delhi, Kolkata, and Mumbai in the demographic pattern of migration and its temporal element.
“Our study however reveals crucial differences between the cities in the demographic pattern of migration and its temporal element.”
Quote in the paperSubstantial claim - Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
There are major cross-city differences in adult literacy rates across gender among the three cities.
“Moreover, there exists major cross-city differences in adult literacy rates across gender, consumption pattern, and subjective wellbeing.”
Quote in the paperSubstantial claim - Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
There are major cross-city differences in consumption pattern among the three cities.
“Moreover, there exists major cross-city differences in adult literacy rates across gender, consumption pattern, and subjective wellbeing.”
Quote in the paperSubstantial claim - Findingown data§ A Comparative Study of Living Conditions in Slums of Three Metro Cities in India · p. 2
High school enrolment rates among children are common across and within slums of the three metro cities (Delhi, Kolkata, Mumbai).
“We find certain characteristics, such as large average household size, poor housing quality, low female labour market participation and high school enrolment rates among children, to be common across and within three cities.”
Quote in the paperSubstantial claim - Findingown data§ 4. Demographics Characteristics · p. 27
SARs drop sharply beyond age 14 (beyond the eighth grade) in slums of all cities.
“SARs drop quietly sharply beyond age 14 (i.e. beyond the eighth grade) in slums of all cities.”
Quote in the paperNot a substantial claim- Rests on an assumption: The statutory age requirement for admission to the first grade in most Indian states is above 5 (or 6) years.
- Findingnone given§ 4. Demographics Characteristics · p. 27
Attendance rates gradually fall in successive age brackets.
“In general, attendance rates gradually fall in successive age brackets.”
Quote in the paperNot a substantial claim- Rests on an assumption: The statutory age requirement for admission to the first grade in most Indian states is above 5 (or 6) years.
- Findingown data§ Over-crowding: · p. 30
Slums in these three cities have good coverage to access to electricity, where 94% or more households have access to electricity in all cities for 18-24 hours.
“slums in these three cities have good coverage to access to electricity, where 94% or more households have access to electricity in all cities for 18-24 hours.”
Quote in the paperNot a substantial claim - Findingreasoning§ Sanitation: · p. 30
In Kolkata, Mumbai and Delhi's JJ clusters, 67-72% of households appear to use private or publicly available shared facilities.
“In Kolkata, Mumbai and Delhi's JJ clusters, 67-72% of households appear to use private or publicly available shared facilities.”
Quote in the paperNot a substantial claim - Findingown data§ 4. Demographics Characteristics · p. 27
3-7% of children are out of school in the 6-14 age group.
“still 3-7% children are out of school in that age group.”
Quote in the paperNot a substantial claim- Rests on an assumption: The statutory age requirement for admission to the first grade in most Indian states is above 5 (or 6) years.
- Findingown data§ Over-crowding: · p. 30
In Mumbai, 99% of households have access to electricity.
“In Mumbai, the figure is 99% of households.”
Quote in the paperNot a substantial claim - Findingreasoning§ Sanitation: · p. 30
In RR colonies, remaining 13% households are using either shared public facility or other means.
“Thereby, remaining 13% households are using either shared public facility or other means.”
Quote in the paperNot a substantial claim - Findingown data§ Sanitation: · p. 30
In Delhi JJ clusters, nearly 10% of households do not have any sanitation facility.
“Alarmingly, in Delhi JJ clusters, nearly 10% of households do not have any sanitation facility.”
Quote in the paperNot a substantial claim - Findingown data§ Housing: · p. 28
In Delhi RR colonies, nearly 32.2% of constructions were built between 30 and 50 years.
“nearly 32.2% of constructions were built between 30 and 50 years.”
Quote in the paperNot a substantial claim - Findingreasoning§ 4. Demographics Characteristics · p. 23
An overwhelming 74% of households in Delhi's JJ clusters are from the North-Central region.
“An overwhelming 74% of households in Delhi's JJ clusters are from the North-Central region, which may be due to Delhi's close proximity to the states in this region.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
- Rests on an assumption: The regional origin categories used in Table 1 are meaningful and comparable across the three cities.
- Findingown data§ 4. Demographics Characteristics · p. 27
The average years of schooling among adult slum dwellers in no city surpass 9 years.
“the average years of schooling among adult slum dwellers in no city surpass 9 years.”
Quote in the paperNot a substantial claim - Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35
The average deprivation scores of slum dwelling households in Kolkata and Delhi's JJ clusters are very close to each other.
“It is worth noting that the average deprivation scores of the slum dwelling households of Kolkata and Delhi's JJ clusters are very close to each other”
Quote in the paperNot a substantial claim - Findingown data§ Housing: · p. 27
In Mumbai, 73% of constructions are owned and 27% are rented.
“In Mumbai also 73% of constructions are owned (many of these are in unprotected slums i.e. on encroached land) and 27% are rented.”
Quote in the paperNot a substantial claim - Findingown data§ Housing: · p. 28
In Delhi JJ clusters and RR colonies, only 1.1% and 0.5% of constructions, respectively, are 50 years or older.
“Quite a different picture is visible in JJ clusters and RR colonies of Delhi, where only 1.1% and 0.5% of constructions, respectively, are 50 years or older.”
Quote in the paperNot a substantial claim - Findingown data§ Over-crowding: · p. 30
In RR colonies, less than three members per room reside in a much larger proportion of constructions (38.9%).
“Slums in RR colonies are characteristically similar, but less than three members per room reside in a much larger proportion of constructions (38.9%).”
Quote in the paperNot a substantial claim- Rests on an assumption: Unlike in rural areas, the competition for living spaces is more stringent in urban areas and especially in slums.
- Findingown data§ Cooking Fuel & Kitchen: · p. 32
The two types of cooking fuel that are mainly used in the slums of these three cities are Kerosene and Liquid Petroleum Gas (LPG).
“The two types of cooking fuel that are mainly used in the slums of these three cities are Kerosene and Liquid Petroleum Gas (LPG).”
Quote in the paperNot a substantial claim - Findingnone given§ Sanitation: · p. 30
In Kolkata and JJ clusters of Delhi, only 16-18% of personal facilities are not shared.
“In fact, in Kolkata and JJ clusters of Delhi, only 16-18% of personal facilities are not shared.”
Quote in the paperNot a substantial claim - Findingnone given§ Asset Holding: · p. 33
The incidence of asset ownerships in Mumbai and RR colonies are much higher than the corresponding asset ownerships in Kolkata and Delhi's JJ clusters.
“The incidence of asset ownerships in Mumbai and RR colonies are much higher than the corresponding asset ownerships in Kolkata and Delhi's JJ clusters.”
Quote in the paperNot a substantial claim - Findingreasoning§ Asset Holding: · p. 33
In Mumbai, the incidence of possessing beds for sleeping is the lowest (66%).
“Strikingly, in Mumbai, the incidence of possessing beds for sleeping is the lowest (66%).”
Quote in the paperNot a substantial claim - Findingown data§ 4. Demographics Characteristics · p. 27
Child-SARs among 6-14 age groups are more than 90% in slums of all cities.
“the child-SARs among 6-14 age groups are more than 90% in slums of all cities.”
Quote in the paperNot a substantial claim- Rests on an assumption: The statutory age requirement for admission to the first grade in most Indian states is above 5 (or 6) years.
- Findingcitation§ 4. Demographics Characteristics · p. 23
Kolkata and Delhi slums are home to a significant fraction of migrant-heads (8.7% and 5.1%, respectively) who trace their root back to places outside of India.
“Notice that Kolkata and Delhi slums are also home to a significant fraction of migrant-heads (8.7% and 5.1%, respectively) who trace their root back to places outside of India.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
- Findingown data§ Over-crowding: · p. 30
We do not find much difference across the cities while considering the 'crowding' within households, which is measured by members per sleeping room.
“we do not find much difference across the cities while consider the 'crowding' within households, which is measured by members per sleeping room”
Quote in the paperNot a substantial claim- Rests on an assumption: Unlike in rural areas, the competition for living spaces is more stringent in urban areas and especially in slums.
- Findingnone given§ Drinking Water: · p. 32
In Kolkata and Delhi, 9-11% households use at least one non-improved source of drinking water.
“Lastly, in Kolkata and Delhi, 9-11% households use at least one non-improved source of drinking water.”
Quote in the paperNot a substantial claim - Findingnone given§ 6. Migrant Status and Mutiple Material Deprivations · p. 35
In over 67% of households in Kolkata and Delhi JJ, slum dwellers use publicly shared provided toilets.
“Although slum dwellers in over 67% of households in Kolkata and Delhi JJ use publicly shared provided toiltets”
Quote in the paperNot a substantial claim - Findingreasoning§ Housing: · p. 29
In Delhi RR, in most of the cases plots have been allotted for construction of houses.
“In Delhi RR, on the other hand, in most of the cases plots have been allotted for construction of houses.”
Quote in the paperNot a substantial claim - Findingown data§ Sanitation: · p. 30
Only less than 30% of households have personal sanitation facilities in Kolkata, Mumbai and Delhi's JJ clusters.
“only less than 30% of households have personal facilities in Kolkata, Mumbai and Delhi's JJ clusters.”
Quote in the paperSubstantial claim - Findingown data§ Asset Holding: · p. 33
The asset that has the highest coverage across households is cell phone.
“The asset that has the highest coverage across households is cell phone.”
Quote in the paperNot a substantial claim - Findingown data§ 4. Demographics Characteristics · p. 22
Slums in Kolkata, Mumbai and Delhi comprise heterogeneous groups of population from diverse ethnic, lingual and provincial backgrounds.
“Slums in these three cities comprise of heterogeneous groups of population from diverse ethnic, lingual and provincial background, such as people from various districts of native state of each city as well as from various parts of the country (and abroad).”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
- Findingown data§ Drinking Water: · p. 32
Members from more than 90% of households in Kolkata, Mumbai and RR colonies use standpipes.
“members from more than 90% of households in Kolkata, Mumbai and RR colonies use standpipes”
Quote in the paperNot a substantial claim - Findingown data§ Asset Holding: · p. 33
Between 92-98% households in all cities have at least one member possessing a cell phone.
“Between 92-98% households in all cities have at least one member possessing a cell phone”
Quote in the paperNot a substantial claim - Findingreasoning§ 9. Employment and Earning · p. 51
There is an inverse relationship between the LFPR and average years of schooling in the age groups 15-18 and 19-21.
“There is an inverse relationship between the LFPR and average years of schooling in these groups as these are the people supposed to be in School/ College till the age 18 (or 21) to complete 12 th standard (or an under-graduation degree, respectively).”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 39
The outreach and distribution pattern of cardholding population is quite different in these cities.
“Moreover, the outreach and distribution pattern of cardholding population is quite different in these cities [see, the upper panel of the table in Appendix B for the distribution of cardholding surveyed households].”
Quote in the paperSubstantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
On average there resides 3.3 slum dwellers per sleeping room.
“The average household size within slums of all three cities ranges between 5-5.5 members per household and on average there resides 3.3 slum dwellers per sleeping room.”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
At least one person in the household owns a cell phone.
“More than half of the houses are built with some unimproved roof, wall or floor materials, yet 90% or more households have electricity connection for 18-24 hours as well as at least one person in the household owns a cell phone.”
Quote in the paperNot a substantial claim - Findingown data§ 10. Job Conditions and Security · p. 51
Employees involved in government jobs supply statistically significantly less labour weekly (in hours) across all cities.
“Employees involved in informal jobs consistently earn statistically significantly lower average nominal wages across all cities; whereas employees involved in government jobs supply statistically significantly less labour weekly (in hours) across all cities.”
Quote in the paperSubstantial claim - Findingown data§ 9. Employment and Earning · p. 49
The LFPR among adult males in the 22-64 age-group is highest: 85-88% of adult males in this age-group in all cities participate in the labour market.
“The LFPR among the adult males in 22-64 age-group is highest: 85-88% of adult males in this age-group in all cities participate in the labour market”
Quote in the paperNot a substantial claim - Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35
Kolkata slum dwellers are far more deprived than their counterparts in other cities in housing type and asset ownership.
“However, Kolkata slum dwellers are far more deprived than their counterparts of other cities in two indicators - housing type and asset ownership.”
Quote in the paperSubstantial claim - Findingreasoning§ 9. Employment and Earning · p. 50
LFPRs among young males are higher in slums of Kolkata and Delhi.
“First, the LFPRs among the young males are higher in slums of Kolkata and Delhi.”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 43
Per capita expenditures on food excluding milk are much higher in Kolkata than in Mumbai and Delhi JJ & RR: Rs. 935 in Kolkata, Rs. 880 in Mumbai, Rs. 819 in Delhi JJ, and Rs. 812 in Delhi RR.
“the per capita expenditures on food excluding milk are much higher in Kolkata than Mumbai and Delhi JJ & RR: Rs. 935 in Kolkata and Rs. 880 in Mumbai, Rs. 819 in Delhi JJ and Rs. 812 in Delhi RR, respectively”
Quote in the paperNot a substantial claim - Findingnone given§ Educational achievements of the adults: · p. 44
The high level of gender inequality in Delhi found for literacy rates is not visible when looking at average years of schooling.
“The high level of gender inequality in Delhi that is found for literacy rates is not visible when we look at the average years of schooling”
Quote in the paperNot a substantial claim - Findingreasoning§ 7. Monetary Dimensions · p. 40
Expenditure on electricity bills is highest in Delhi's RR colonies.
“The expenditure on electricity bills, however, is highest in Delhi's RR colonies”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 44
The difference between gender literacy rates is less than 7 percentage points in slums of Kolkata.
“The difference between gender literacy rates is less than 7 percentage points in slums of Kolkata”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
Slums in different cities have an even larger number of differences.
“Despite a number of similar characteristics, however, slums in different cities have an even larger number of differences.”
Quote in the paperSubstantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
Nearly two-third or more of the women in the age group of 25-50 years do not participate in the labour market.
“Around 90% of male members in the age group of 25-50 years participate in the labour market, yet nearly two-third or more of the women in the same age group do not.”
Quote in the paperNot a substantial claim - Findingown data§ 9. Employment and Earning · p. 49
The participation rates vary widely across different age-groups.
“The participation rates however vary widely across different age-groups”
Quote in the paperNot a substantial claim - Findingreasoning§ 9. Employment and Earning · p. 50
More than 50% of males in Kolkata slums and in JJ clusters in the 19-21 age-group participate in the labour force.
“More than 50% of males in Kolkata slums and in JJ clusters in 19-21 age-group participate in the labour force.”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 43
The difference in per capita expenditures between each pair of cities is statistically significant.
“Difference in per capita expenditures between each pair is statistically significant”
Quote in the paperSubstantial claim - Findingown data§ Educational achievements of the adults: · p. 44
In all cities, literacy rates are higher among the younger group of adults.
“In all cities, literacy rates are higher among the younger group of adults”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
Slums in Kolkata are much older than those in both Mumbai and Delhi.
“Slums in Kolkata are much older than those in both Mumbai and Delhi.”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 45
The female enrolment rate among the 12-14 year age-group in Delhi is statistically significantly higher.
“In fact, we find that the female enrolment rate among 12-14 year age-group in Delhi is statistically significantly higher”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
- Findingreasoning§ 9. Employment and Earning · p. 49
The LFPRs in age-groups 15-18 and 19-21 are much lower (statistically significantly) than in 22-64.
“The LFPRs in age-groups 15-18 and 19-21 are much lower (statistically significantly)”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 39
The distributions of per capita expenditure across different items are quite different across cities.
“The distributions of per capita expenditure across different items (or components) are however quite different across cities.”
Quote in the paperNot a substantial claim - Findingreasoning§ 7. Monetary Dimensions · p. 39
The total subsidy amount received by the surveyed households varies across the three cities.
“Given the differences in respective government's policies and the distribution pattern of various types of PDS cardholding households in three cities, the total subsidy amount received by the surveyed households in the three cities also varies.”
Quote in the paperNot a substantial claim- Rests on an assumption: At the time of the survey, Delhi Government had adopted a universal PDS scheme (rice, wheat and sugar for all card types), whereas Mumbai and Kolkata were running old PDS schemes mainly directed to the BPL population.
- Findingown data§ 9. Employment and Earning · p. 49
We do not find the perception that lower female LFPR is due to lower education to be completely true.
“We do not however find this perception to be completely true”
Quote in the paperSubstantial claim - Findingreasoning§ 9. Employment and Earning · p. 51
Young females in general before joining workforce stay back in schools for more years than their male counterparts in these age groups.
“Young females in general before joining workforce stay back in schools for more years than their male counter parts in these age groups.”
Quote in the paperNot a substantial claim - Findingreasoning§ 9. Employment and Earning · p. 50
The LFPR among 15-18 years old males in Kolkata slums is several times higher than that in Mumbai slums.
“The LFPR among 15-18 years old males in Kolkata slums are several times higher than that in Mumbai slums.”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
The average household size within slums of all three cities ranges between 5-5.5 members per household.
“The average household size within slums of all three cities ranges between 5-5.5 members per household and on average there resides 3.3 slum dwellers per sleeping room.”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 43
The level of inequality is similar across different cities.
“we find the level of inequality to be similar across different cities”
Quote in the paperSubstantial claim - Findingown data§ 7. Monetary Dimensions · p. 42
Per capita consumption of sugar, cereal and oil in Kolkata slums is much lower than per capita consumption of the corresponding items in Mumbai and Delhi.
“the per capita consumptions of three grocery items - sugar, cereal and oil - in Kolkata slums are much lower than the per capita consumption of the corresponding items in Mumbai and Delhi”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
More than half of the houses are built with some unimproved roof, wall or floor materials.
“More than half of the houses are built with some unimproved roof, wall or floor materials, yet 90% or more households have electricity connection for 18-24 hours as well as at least one person in the household owns a cell phone.”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 44
Average years of education completed is highest in Mumbai, where on average a person in slum appears to have completed 8.7 years.
“The average years of education completed is highest in Mumbai, where on average a person in slum appears to have completed 8.7 years of education”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 44
Adult literacy rate is lowest, only 70%, in Delhi's JJ clusters.
“The adult literacy rate is lowest (only 70%) in Delhi's JJ clusters”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 43
Per capita expenditure on intoxicants is highest in Delhi.
“the per-capita expenditure on intoxicant appears to be highest in Delhi”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 44
No significant gender difference is found in the youngest group of adults in Kolkata, Mumbai, and Delhi JJCs.
“No significant gender difference is found in the youngest group of adults in Kolkata, Mumbai, and Delhi JJCs”
Quote in the paperNot a substantial claim - Findingown data§ 9. Employment and Earning · p. 51
In cities other than Kolkata, the average years of schooling among 22-64 years old males are statistically significantly higher than among males aged 65 and higher.
“In other cities however the average years of schooling among 22-64 years old males are statistically significantly higher,”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 43
In Mumbai and especially in Delhi, lower consumption of non-vegetable items is compensated by much higher consumption of vegetables, milk, ghee and even pulses.
“In Mumbai and especially in Delhi, the lower consumption of non-vegetable items is compensated by much higher consumption of vegetables, milk, ghee and even pulses, which is evident from higher expenditures on these items”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 38
Within Delhi, the size of the distribution of monetary achievements in RR colonies is much higher than in JJ clusters.
“Within Delhi however the size of the distribution in RR colonies is much higher than that in JJ clusters.”
Quote in the paperNot a substantial claim - Findingnone given§ 9. Employment and Earning · p. 51
The average years of education among women workers reflect statistically significant increase in all cities.
“A positive observation is that the average years of education among women workers reflect statistically significant increase in all cities.”
Quote in the paperNot a substantial claim - Findingown data§ 10. Job Conditions and Security · p. 51
Employees involved in informal jobs consistently earn statistically significantly lower average nominal wages across all cities.
“Employees involved in informal jobs consistently earn statistically significantly lower average nominal wages across all cities; whereas employees involved in government jobs supply statistically significantly less labour weekly (in hours) across all cities.”
Quote in the paperNot a substantial claim - Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35
The average material-deprivation scores are statistically significantly higher among households whose head migrated than among those whose head was born in the city, consistently across cities.
“We observe a consistent pattern across cities. The average material-deprivation scores are statistically significantly higher among those for who the head has migrated than those for who the head was born in the city.”
Quote in the paperSubstantial claim - Findingown data§ Educational achievements of the adults: · p. 44
The difference between male and female literacy rates in Delhi is nearly 20 percentage points.
“The difference between male and female literacy rates in Delhi is nearly 20 percentage points”
Quote in the paperNot a substantial claim - Findingnone given§ 6. Migrant Status and Mutiple Material Deprivations · p. 36
Kolkata is an exception to the trend that earlier migrants are less materially deprived than later migrants.
“Kolkata is however exception to this trend”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 38
The size of the distribution of monetary achievements, measured by mean and median per capita income and expenditure, is highest in slums of Mumbai, followed by Delhi and then Kolkata.
“We find that the size of the distribution of monetary achievements - measured by the mean and the median per capita income and that of the expenditure - is highest in slums of Mumbai, followed by Delhi and then Kolkata.”
Quote in the paperSubstantial claim - Findingown data§ Educational achievements of the adults: · p. 44
Statistically significant gender inequality in literacy rates exists in slums of all three cities.
“Although the existence of statistically significant gender inequality in literacy rates is common in slums of all three cities”
Quote in the paperNot a substantial claim - Findingown data§ 10. Job Conditions and Security · p. 51
An overwhelming majority of working slum dwellers are involved in informal jobs.
“An overwhelming majority of working slum dwellers are involved in informal jobs.”
Quote in the paperSubstantial claim - Findingown data§ 9. Employment and Earning · p. 50
In the age-group above 64, there is a stark difference in LFPR between Delhi's JJ cluster and other cities.
“Second, in the age-group above 64, we observe a stark difference in LFPR between Delhi's JJ cluster and other cities.”
Quote in the paperNot a substantial claim - Findingnone given§ 7. Monetary Dimensions · p. 43
Expenditure on milk is much lower in Kolkata.
“Note that the expenditure on milk is also much lower in Kolkata”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 45
We do not find any gender discrimination against women in terms of education enrolment in any of the three slums in our study.
“We should point out that we do not find any gender discrimination against women in terms of education enrolment in any of the three slums in our study”
Quote in the paperNot a substantial claim - Findingnone given§ 7. Monetary Dimensions · p. 43
In JJ clusters of Delhi, per capita expenditure on intoxicants is almost twice as high as in slums of Kolkata.
“In JJ clusters of Delhi, the per capita expenditure on intoxicants is almost twice as high as that in slums of Kolkata”
Quote in the paperNot a substantial claim - Findingown data§ 9. Employment and Earning · p. 51
Young male workers do not have higher education levels vis-à-vis young female workers (the differences are not statistically significant).
“However, young male workers do not imbibe higher education levels vis-à-vis young female workers (as the differences are not statistically significant).”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 38
The per capita consumption expenditure (based on the items in the survey) appears to be highest in Mumbai.
“The per capita consumption expenditure (based on the items in our survey) appears to be highest in Mumbai as well.”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
More than 90% of the adults in the age group of 15-25 years are literate.
“The average years of schooling completed by slum dwellers in all three cities do not surpass nine years, but 90% of children in the age group of 6-14 years are enrolled in schools as well as more than 90% of the adults in the age group of 15-25 years are literate.”
Quote in the paperNot a substantial claim - Findingown data§ 9. Employment and Earning · p. 49
Even higher average education does not ensure higher average monthly earning for females.
“Even higher average education does not ensure higher average monthly earning for females”
Quote in the paperSubstantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
The average years of schooling completed by slum dwellers in all three cities do not surpass nine years.
“The average years of schooling completed by slum dwellers in all three cities do not surpass nine years, but 90% of children in the age group of 6-14 years are enrolled in schools as well as more than 90% of the adults in the age group of 15-25 years are literate.”
Quote in the paperNot a substantial claim - Findingnone given§ 9. Employment and Earning · p. 51
Young males' LFPRs are consistently much higher than those of young females (except in Mumbai slums for the age group of 15-18).
“Young males' LFPRs are consistently much higher than those of young females (except in Mumbai slums for the age group of 15-18).”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 44
Slums in Delhi are particularly marked with high gender inequality.
“slums in Delhi are particularly marked with high gender inequality”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
Around 90% of male members in the age group of 25-50 years participate in the labour market.
“Around 90% of male members in the age group of 25-50 years participate in the labour market, yet nearly two-third or more of the women in the same age group do not.”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 44
The female literacy rate among those in the age group of 50 years or more in Delhi's JJ clusters is only 14%.
“The female literacy rate among those in the age group of 50 years or more is only 14%”
Quote in the paperSubstantial claim - Findingown data§ 9. Employment and Earning · p. 49
Between 45-50% of slum dwellers in the 15-64 age-group participate in the labour force.
“We notice that between 45-50% of slum dwellers in 1564 age-group participates in the labour force”
Quote in the paperNot a substantial claim - Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 37
The migrants of the other two groups (before 1970 and after 1990) in Kolkata face the same material deprivation.
“But a fact that the migrants of the other two groups (before 1970 and after 1990) are facing the same material deprivation is quite striking”
Quote in the paperSubstantial claim - Findingown data§ Educational achievements of the adults: · p. 47
We find evidence of gender discrimination in selecting the type of schools by parents for their boys and girls in Mumbai and Delhi.
“We find evidences of gender discrimination in selecting the type of schools by the parents for their boys and girls in Mumbai and Delhi”
Quote in the paperSubstantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
- Findingown data§ 7. Monetary Dimensions · p. 41
The share of slum dwellers (head of household) born in the city is much lower in Mumbai and Delhi JJ clusters than in Kolkata.
“It is evident from Table 1 (in demographic details section) that the share of slum dwellers (precisely, head of household) born in the city is much lower in Mumbai and Delhi JJ clusters, unlike in Kolkata.”
Quote in the paperSubstantial claim - Findingown data§ 9. Employment and Earning · p. 49
Among those participating in the labour market in the 19-21 age-group, despite higher average years of education, females in Kolkata and in Delhi's RR colonies do not earn higher average income (differences statistically insignificant) than their male counterparts.
“If we focus on those participating in the labour market in the age-groups of 19-21, we observe that despite higher average years of education, females in Kolkata and in Delhi's RR colonies do not earn higher average income (differences are statistically insignificant) than their male counterparts”
Quote in the paperSubstantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
In all three cities, majority of the slum dwellers have migrated from neighbouring states than the native state of the city.
“In all three cities, majority of the slum dwellers have migrated from neighbouring states than the native state of the city.”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
90% or more households have electricity connection for 18-24 hours.
“More than half of the houses are built with some unimproved roof, wall or floor materials, yet 90% or more households have electricity connection for 18-24 hours as well as at least one person in the household owns a cell phone.”
Quote in the paperNot a substantial claim - Findingnone given§ 9. Employment and Earning · p. 49
The average monthly earning of females who participate in the labour market in the 15-64 age-group is only 50-60% of the average income earned by males in the same age-group.
“The average monthly earning of females, who participate in the labour market in the agegroup of 15-64, is only 50-60% of the average income earned by the males in the same age-group”
Quote in the paperSubstantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
Inequality levels both in terms of per capita incomes and per capita consumption expenditures within slums across these three cities are very similar.
“Finally, we find that inequality levels both in terms of per capita incomes and per capita consumption expenditures within slums across these three cities are very similar.”
Quote in the paperSubstantial claim - Findingown data§ 7. Monetary Dimensions · p. 38
The size of the distribution, especially per capita income, in JJ clusters of Delhi is very similar to that in slums of Kolkata.
“In fact, the size of the distribution, especially the per capita income, in JJ clusters of Delhi is very similar to the size of the distribution in slums of Kolkata.”
Quote in the paperNot a substantial claim - Findingnone given§ 7. Monetary Dimensions · p. 42
Market prices of grocery items are stable across the three cities.
“The market prices of grocery items appear to be stable across three cities”
Quote in the paperNot a substantial claim - Findingown data§ Educational achievements of the adults: · p. 44
In Mumbai, the literacy rate is 99% among slum dwellers in the 15-24 years age group.
“In Mumbai, the literacy rate is 99% among slum dwellers in 15-24 years age group”
Quote in the paperSubstantial claim - Findingown data§ Educational achievements of the adults: · p. 44
The gender difference in adult literacy rates is most prominent in Delhi's JJ clusters among adults in the oldest age group.
“The gender difference in adult literacy rates is most prominent in Delhi's JJ clusters among the adults in the oldest age group”
Quote in the paperNot a substantial claim - Findingown data§ 7. Monetary Dimensions · p. 43
Per capita expenditure on cooking fuel is similar across cities.
“The per capita expenditure on cooking fuel however is similar across cities”
Quote in the paperNot a substantial claim - Findingown data§ 9. Employment and Earning · p. 51
There is no statistically significant difference in the average levels of schooling for males in the age group of 65 and higher and for males in the age group of 22-64 in Kolkata.
“One important point in terms of inter-generational educational attainment of the workforce that is visible in Kolkata among male workers is that there is no statistically significant difference in the average levels of schooling for males in the age group of 65 and higher and for males in the age group of 22-64.”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 52
Certain slum-characteristics are common across three cities.
“Based on our collected samples, we find certain slum-characteristics are common across three cities.”
Quote in the paperSubstantial claim - Findingreasoning§ 7. Monetary Dimensions · p. 42
Cereal expenditures are much lower in Delhi slums compared to Kolkata and Mumbai despite similar levels of per capita cereal consumption.
“the expenditures of cereals are much lower in Delhi slums compared to Kolkata and Mumbai despite similar levels of per capita consumption of cereals”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 53
A characteristic that is markedly unique to slums in Delhi is the large difference in adult literacy rate across genders.
“A characteristic that is markedly unique to slums in Delhi is the large difference in adult literacy rate across genders.”
Quote in the paperNot a substantial claim - Findingnone given§ 11. Discussions and Concluding Remarks · p. 53
More than 80% slum dwellers depend on standpipes - personal or non-personal but mainly publicly provided - to fetch drinking water.
“In terms of access to drinking water, more than 80% slum dwellers depend on standpipes - personal or non-personal but mainly publicly provided - to fetch drinking water.”
Quote in the paperNot a substantial claim - Findingnone given§ 11. Discussions and Concluding Remarks · p. 54
95% of slum dwellers use Kerosene.
“In fact, 95% of slum dwellers use Kerosene, despite Kerosene having various health hazards.”
Quote in the paperNot a substantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 53
Close to 70% of the slum dwellers of all three cities depend heavily on publicly provided sanitation facilities in their neighbourhood.
“Close to 70% of the slum dwellers of all three cities depend heavily on publicly provided sanitation facilities in their neighbourhood, but around 31% of Mumbai slum dwellers and 47% of Delhi JJ cluster slum dwellers travel more than five minutes to access the facilities.”
Quote in the paperSubstantial claim - Findingnone given§ 11. Discussions and Concluding Remarks · p. 54
The state government in Kolkata continues to provide kerosene through its public distribution system at a subsidized rate.
“The state government in Kolkata unfortunately continues to provide kerosene through its public distribution system at a subsidized rate.”
Quote in the paperSubstantial claim - Findingreasoning§ 11. Discussions and Concluding Remarks · p. 53
The monthly average per capita nominal income in slums of Mumbai appears to be 73% higher than that in Kolkata.
“We find the monthly average per capita nominal income in slums of Mumbai appears to be 73% higher than that in Kolkata.”
Quote in the paperSubstantial claim - Findingown data§ 11. Discussions and Concluding Remarks · p. 53
This particular problem is not at all acute in Kolkata slums.
“This particular problem is not at all acute in Kolkata slums.”
Quote in the paperSubstantial claim - Premisecitation§ 1. Introduction · p. 7
A significant share of the increase in India's slum population from 2001 to 2011 was absorbed by Mumbai, Delhi, and Kolkata.
“Of the steady increase in slum population in India from 52.4 million in 2001 to 65.5 million in 2011, 9 a significant share has been absorbed by these three cities”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] A Kundu, 2007, Migration, Employment Status and Poverty: An Analysis across Urban Centres, Economic and Political Weekly
Not checked in the free run.
- Interpretationreasoning§ 1. Introduction · p. 7
Together Mumbai, Delhi, and Kolkata allow the study to collect samples covering over ten million slum dwellers.
“together these three cities allow us to collect samples covering over ten million slum dwellers.”
Quote in the paperSubstantial claim - Premisecitation§ 1. Introduction · p. 7
India's slum population increased from 52.4 million in 2001 to 65.5 million in 2011.
“Of the steady increase in slum population in India from 52.4 million in 2001 to 65.5 million in 2011, 9 a significant share has been absorbed by these three cities”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] A Kundu, 2007, Migration, Employment Status and Poverty: An Analysis across Urban Centres, Economic and Political Weekly
Not checked in the free run.
- Premisereasoning§ 2. Data and Sampling Design · p. 7
The survey collects more detailed slum-specific information than what is available from the census and other nationally representative surveys.
“The survey collects more detailed slum-specific information than what is available from the census and other nationally representative surveys. 10”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] N Kundu, 2003, The case of Kolkata, Cities without slums: Global report on human settlements
Not checked in the free run.
- cites [11] P Lucci, 2014, Monitoring progress on urban poverty: are current data and indicators fit for purpose?, Working Paper 405
Not checked in the free run.
- Premisecitation§ 2. Data and Sampling Design · p. 7
The census does not provide detailed information on a large number of variables.
“The limitation of analyses using census is that the census does not provide detailed information on a large number of variables”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] N Kundu, 2003, The case of Kolkata, Cities without slums: Global report on human settlements
Not checked in the free run.
- cites [11] P Lucci, 2014, Monitoring progress on urban poverty: are current data and indicators fit for purpose?, Working Paper 405
Not checked in the free run.
- Premisecitation§ 1. Introduction · p. 6
There is a dearth of comparative studies on slums across cities.
“However, there is, unfortunately, dearth of comparative studies on slums across cities.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] Hina, 2013, Poorest of the Poor: A Comparative Study of Two Slums of Central and North East Delhi, Global Advanced Research Journal of Geography and Regional Planning
Not checked in the free run.
- cites [8] N Kumar, 2003, Patterns of consumption and poverty in Delhi slums, Economic and Political Weekly
- Study design and conductnone given§ 2. Data and Sampling Design · p. 7
The primary household survey collects representative samples through stratified sampling from slums of the municipal corporation areas of Delhi, Mumbai, and Kolkata.
“Our primary household survey collects representative samples through stratified sampling from slums of the municipal corporation areas of three metro cities of India: Delhi, Mumbai and Kolkata”
Quote in the paperSubstantial claim - Premisecitation§ Historical Genesis of slums · p. 13
In Delhi, the initial proliferation of slums was related to a historical transformation process linked to the change of rulers and their approaches to city formation and community management.
“But in Delhi, the initial proliferation of slums was related to a historical transformation process, which was linked to the change of rulers and their approaches to city formation and community management from time to time.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] V Ramaswamy, 2008, Basti Redevelopment in Kolkata
Not checked in the free run.
- Study design and conductown data§ Sampling · p. 9
In Mumbai, 1,228 households were interviewed from slums.
“We have interviewed 1,228 households from slums in Mumbai”
Quote in the paperNot a substantial claim - Premisereasoning§ Since the turn of 20 th Century: · p. 18
According to BMC data of 2001, about 63% of total slum dwellers in Mumbai are somehow protected from eviction threats.
“Thus, about 63% of the total slums dwellers are somehow protected from eviction threats.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites BMC data of 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation§ 2. Data and Sampling Design · p. 7
Nationally representative national and international surveys do not collect enough information specific to slums.
“whereas the national and international surveys that are nationally representative does not collect enough information that are specific to slums. 11”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] N Kundu, 2003, The case of Kolkata, Cities without slums: Global report on human settlements
Not checked in the free run.
- cites [11] P Lucci, 2014, Monitoring progress on urban poverty: are current data and indicators fit for purpose?, Working Paper 405
Not checked in the free run.
- Premisecitation§ Sanitation: · p. 30
Less than 60% of Delhi slum homes had even one window.
“As well, less than 60% of Delhi slum homes had even one window.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites NFHS-3 (2005-06)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning§ Housing: · p. 29
The original allottees or their descendants of these colonies had taken the benefit of this tenure security to construct pucca houses.
“The original allottees or their descendants of these colonies had taken the benefit of this tenure security to construct pucca houses.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 4. Demographics Characteristics · p. 22
The different paths of evolution of slums in Kolkata, Mumbai and Delhi have shaped some of their demographic characteristics.
“Their different paths of evolution have shaped some of the demographic characteristics.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ Sanitation: · p. 30
Over the time (between 2006 and 2014) in terms toilet facility, some improvement has taken place in Delhi JJ Clusters.
“So over the time (between 2006 and 2014) in terms toilet facility, some improvement has taken place in Delhi JJ Clusters.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 9. Employment and Earning · p. 51
The average years of schooling somewhat stagnates between six and seven years in Kolkata for male workers.
“Thus, the average years of schooling somewhat stagnates between six and seven years in Kolkata for male workers.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 7. Monetary Dimensions · p. 41
Consequently, the likelihood of household responsibilities towards members residing at the place of origin is higher.
“Consequently, the likelihood of household's responsibilities towards members (if any) residing at the place of origin is higher.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 7. Monetary Dimensions · p. 42
The lower cereal expenditures in Delhi slums are because larger shares of cereals in Delhi slums are purchased through PDS at a lower price, unlike in Mumbai and Kolkata.
“This is because larger shares of cereals in Delhi slums are purchased through PDS at a lower price, unlike in Mumbai and Kolkata”
Quote in the paperSubstantial claim - Premisecitation§ 9. Employment and Earning · p. 49
The LFPR in urban slums increased from 35.5% (54.1% for males and 15.4% for females) in 2001 to 46.6% (65.8% for males and 27.7% for females) in 2011.
“The LFPR in urban slums has increased from 35.5% (54.1% for males and 15.4% for females) in 2001 to 46.6% (65.8% for males and 27.7% for females) in 2011 (GoI, 2011)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites GoI, 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data§ Educational achievements of the adults: · p. 44
In terms of literacy rates and average years of education, the performance of slums in Mumbai is better than the slums in the other two cities.
“Thus, in terms of literacy rates and average years of education, the performance of slums in Mumbai is better than the slums in other two cities”
Quote in the paperSubstantial claim - Interpretationreasoning§ 7. Monetary Dimensions · p. 43
Despite similar price levels of groceries, differences in preferences of slum dwellers across cities lead to very different distribution of consumption expenditures across components.
“Despite similar price levels of groceries, differences in preferences of slum dwellers across cities lead to very different distribution of consumption expenditures across components”
Quote in the paperSubstantial claim - Interpretationreasoning§ 9. Employment and Earning · p. 50
The higher (or lower) LFPR is directly linked to the lower (or higher, respectively) educational enrolment rates in Kolkata slums and in JJ clusters in these two age-groups.
“This higher (or lower) LFPR is directly linked to the lower (or higher, respectively) educational enrolment rates in Kolkata slums and in JJ clusters in these two age-groups.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 7. Monetary Dimensions · p. 43
The lower per capita expenditure on non-vegetable items in Delhi is related to the proportion of vegetarian households in different cities.
“This is related to the proportion of vegetarian households in different cities”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 9. Employment and Earning · p. 51
An early school dropout person tries to get employed much ahead of others.
“An early school dropout person tries to get employed much ahead of others and that is quite eminent here.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 7. Monetary Dimensions · p. 41
The lack of easily available fuel substitutes is a strong reason behind the high price differential in Delhi.
“The lack of easily available fuel substitutes thus is a strong reason behind such high a price differential in Delhi.”
Quote in the paperSubstantial claim- Rests on an assumption: The Delhi Government around 2011 gradually started to stop providing kerosene through PDS and swapped all Kerosene PDS cards with LPG cylinders through a special scheme (Kerosene Free Delhi).
- Interpretationown data§ 9. Employment and Earning · p. 49
Female slum dwellers are less economically active than their male counterparts.
“We may say that female slum dwellers are less economically active than their male counterparts”
Quote in the paperSubstantial claim - Interpretationreasoning§ 7. Monetary Dimensions · p. 41
Outward remittances may be related to the pattern and duration of migration in different cities.
“The third item - outward remittances, however, narrates a somewhat different story and may be related to the pattern and duration of migration in different cities.”
Quote in the paperNot a substantial claim - Interpretationown data§ 9. Employment and Earning · p. 49
The lower LFPRs in age-groups 15-18 and 19-21 are because many adults in these age-groups are pursuing education.
“as many adults in these age-groups are pursuing education, which may be verified from Table 13 in the previous section”
Quote in the paperNot a substantial claim - Premisecitation§ 7. Monetary Dimensions · p. 43
The pattern of lower per capita expenditure on non-vegetable items in Delhi complies with the findings in GoI (2014).
“The pattern of lower per capita expenditure on non-vegetable items in Delhi complies with the findings in GoI (2014)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites GoI (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data§ 7. Monetary Dimensions · p. 43
The difference in per capita expenditure between Delhi and Kolkata is largely due to differences in expenditures on rent, electricity bills and remittances.
“The difference in per capita expenditure between Delhi and Kolkata is largely due to the differences in expenditures on rent, electricity bills and remittances”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 7. Monetary Dimensions · p. 42
The difference in cereal expenditure shares across cities is primarily due to differences in food preferences of slum dwellers.
“The reason for this difference is primarily due to the difference in the food preferences of the slum dwellers”
Quote in the paperNot a substantial claim - Interpretationown data§ 7. Monetary Dimensions · p. 41
The difference in fuel expenditure between Kolkata and other cities arises because of the predominant use of Kerosene as a source of primary cooking fuel in Kolkata.
“This difference in expenditure on fuel between the slums in Kolkata and slums in other cities arises because of the predominant use of Kerosene as a source of primary cooking fuel.”
Quote in the paperNot a substantial claim - Interpretationown data§ 11. Discussions and Concluding Remarks · p. 54
This subjective well-being question matches with our objective findings of living conditions.
“This subjective well-being question matches with our objective findings of living conditions.”
Quote in the paperNot a substantial claim- Rests on an assumption: The collected samples are representative of the slums in the three cities.
- Interpretationreasoning§ 11. Discussions and Concluding Remarks · p. 53
The higher level of education and better earning opportunities in Mumbai definitely influence the average monthly earnings of the slum dwellers.
“The higher level of education and better earning opportunities in Mumbai definitely influence the average monthly earnings of the slum dwellers.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 11. Discussions and Concluding Remarks · p. 53
The higher average earning is also reflected in higher monthly average nominal per capita consumption expenditures across slums.
“The higher average earning is also reflected in higher monthly average nominal per capita consumption expenditures across slums.”
Quote in the paperNot a substantial claim - Interpretationown data§ 11. Discussions and Concluding Remarks · p. 54
Mumbai and Delhi have gone through a transition where Kerosene users have switched to become much safer and environment friendly liquid petroleum gas (LPG) users.
“Mumbai and Delhi have gone through a transition where Kerosene users have switched to become much safer and environment friendly liquid petroleum gas (LPG) users.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 11. Discussions and Concluding Remarks · p. 52
Unimproved floor, wall or roof materials directly affect the slum dwellers' living conditions.
“Although the slums and the constructions within them are much older in Kolkata, yet much higher proportion of houses are built with unimproved floor, wall or roof materials, which directly affects the slum dwellers' living conditions.”
Quote in the paperSubstantial claim - Interpretationown data§ 11. Discussions and Concluding Remarks · p. 54
On average, living conditions in slums of Kolkata and Delhi's JJ clusters are worse than that in slums of Mumbai and Delhi's RR colonies.
“What we may conclude from our findings in this paper is that on average, living conditions in slums of Kolkata and Delhi's JJ clusters are worse than that in slums of Mumbai and Delhi's RR colonies.”
Quote in the paperSubstantial claim- Rests on an assumption: The collected samples are representative of the slums in the three cities.
- Interpretationreasoning§ 11. Discussions and Concluding Remarks · p. 53
The per capita expenditure on grocery items is significantly lower in Delhi slums than in Kolkata slums due to the provision of groceries through public distribution systems.
“The per capita expenditure on grocery items is in fact significantly lower in Delhi slums than in Kolkata slums due to the provision of groceries through public distribution systems.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 62
- May combine two claims. 143
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone given§ 4. Demographics Characteristics · p. 25The majority of the Muslim population in slums are from Bihar and Uttar Pradesh.
“It is noteworthy that majority of the Muslim population in slums are from Bihar and Uttar Pradesh.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 23Majority of slum dwellers in any city are either from the native state (except Delhi) or originally from the North-Central region of India.
“The first noteworthy observation is that majority of the slums dwellers in any city are either from the native state (except Delhi) or originally from North-Central region of India.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
- Rests on an assumption: The regional origin categories used in Table 1 are meaningful and comparable across the three cities.
May combine two claims.
Findingown data§ Drinking Water: · p. 32Members in nearly 23% of households in slums of Kolkata and JJ clusters of Delhi use non-personal standpipes and are required to travel or wait 30 minutes or more to access the water source.
“Members in nearly 23% of households in slums of Kolkata and JJ clusters of Delhi use non-personal standpipes are required to travel or wait 30 minutes or more in order to access the water source.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 25The share of Muslim households is highest in Kolkata (31.5%) and lowest in Delhi's RR colonies (9.1%).
“The share of Muslim households is highest in Kolkata (31.5%) and lowest in Delhi's RR colonies (9.1%).”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ Housing: · p. 28In Mumbai, 18.7% constructions are only 10 year old or less and merely 12.9% households are more than 50 year old.
“In Mumbai on the other hand 18.7% constructions are only 10 year old or less and merely 12.9% households are more than 50 year old.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Cooking Fuel & Kitchen: · p. 32Although the proportions of Kerosene users are negligible in Delhi, its use is prevalent among the households in Mumbai (37%) and is predominant in Kolkata (94.7%).
“Although the proportions of Kerosene users are negligible in Delhi, its use is prevalent among the households in Mumbai (37%) and is predominant in Kolkata (94.7%).”
Quote in the paperNot a substantial claim- Rests on an assumption: The uses of biomass fuel and to a lesser extent the uses of Kerosene may result in various kinds of health hazards to household members.
May combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 24The in-migration of labourers and the process of slummification for Kolkata primed roughly during 1940-60 and since then it has been on the decline; for Mumbai it reached a peak roughly during 1970-80; and Delhi observed the major spurt of labour in-migration roughly during 1980s.
“The in-migration of labourers and the process of slummification for Kolkata primed roughly during 1940-60 and since then it has been on the decline. The same for Mumbai reached a peak roughly during 1970-80 and Delhi observed the major spurt of labour in-migration roughly during 1980s, which incidentally coincided with the phase of break in the slum eviction and rehabilitation process.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ Cooking Fuel & Kitchen: · p. 32In slums of Kolkata and JJ clusters nearly 11% of all households and in RR colonies around 4.6% of households use some type of biomass fuel for cooking purposes.
“In slums of Kolkata and JJ clusters nearly 11% of all households and in RR colonies around 4.6% of households use some type of biomass fuel for cooking purposes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The uses of biomass fuel and to a lesser extent the uses of Kerosene may result in various kinds of health hazards to household members.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 25More than 90% of household heads in the survey identified themselves as either Hindu or Muslim, so people from other religions are in minority in slums.
“In our survey, more than 90% household heads have identified themselves as either Hindu or Muslim and so people from other religions are in minority in slums.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ Sanitation: · p. 30In RR colonies of Delhi, nearly 82% of households have access to non-shared personal facilities; another 5% has personal but shared toilet facility.
“The rate of access is much better in RR colonies of Delhi where nearly 82% of households have access to non-shared personal facilities; another 5% has personal but shared toilet facility.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Housing: · p. 28In Kolkata, 42.9% of constructions are more than 50 year old, nearly 69% of constructions are more than 30 year old and only 18.7% of constructions are 20 year old or less.
“In Kolkata, 42.9% of constructions are more than 50 year old, nearly 69% of constructions are more than 30 year old and only 18.7% of constructions are 20 year old or less.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 26The sex ratio is consistently lower among the younger age group (14 years or less) than among adults (15 years or more); in Delhi's RR colonies, the sex ratio among the younger age group is only 840.
“Decomposing the overall sex ratio across two age groups - 14 years or less and 15 years or more, we find that the sex ratio is consistently lower among the younger groups. In Delhi's RR colonies, the sex ratio among the younger age group is only 840.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingnone given§ Asset Holding: · p. 33For the rest of the assets, the incidence of possession is highest in Delhi's RR colonies except computers in which Mumbai has the highest incidence.
“For the rest of the assets, the incidence of possession is highest in Delhi's RR colonies except computers in which Mumbai has the highest incidence.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Housing: · p. 27In Kolkata, 37.9% of constructions are owned and 62% are rented, of which 37.5% are rented through thika or pagri tenancy.
“In Kolkata, however, only 37.9% of constructions are owned and as many as 62% of constructions are rented of which 37.5% are rented through thika or pagri tenancy.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 25In Delhi's JJ clusters and RR colonies, over half of the households identify themselves as scheduled castes, while the share of scheduled caste in the other two cities is in the range of 20-25%.
“In Delhi's JJ clusters and RR colonies, over half of the households identify themselves as scheduled castes. The share of scheduled caste in other two cities is in the range of 20-25%.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 27The drops in SAR beyond age 14 are 20-26% in Delhi's JJC and Kolkata; around 15% in Mumbai and Delhi's RR colonies.
“The drops are quite drastic (20-26%) in Delhi's JJC and Kolkata; whereas in Mumbai and Delhi's RR colonies, the drops are around 15%.”
Quote in the paperNot a substantial claim- Rests on an assumption: The statutory age requirement for admission to the first grade in most Indian states is above 5 (or 6) years.
May combine two claims.
Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35Incidences of deprivation in slums of Kolkata and Delhi's JJ clusters are close and moderately high for the cooking arrangements indicator (over 40%).
“whereas close and moderately high for the indicator of cooking arrangements (over 40%) (see Table 5).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35The average material-deprivation score is highest in Kolkata (4.7), followed by Delhi's JJ clusters (4.2), Mumbai (3.2), and Delhi's RR colonies (2.0).
“The average deprivation score is highest in Kolkata (4.7), followed by (in order) Delhi's JJ clusters (4.2), Mumbai (3.2) and Delhi's RR colonies (2.0).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 27The adult literacy rate is lowest (70.1%) in Delhi's JJ clusters, and highest in slums of Mumbai (89.9%).
“the adult literacy rate is lowest (70.1%) in Delhi's JJ clusters, and highest in slums of Mumbai (89.9%)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35In Kolkata, time to access the toilet facility is up to 1 minute for 66% of households, which is much lower than in Delhi JJ where more than 47% reported time to access higher than 5 minutes.
“in Kolkata the time to access the facility is much lower (upto 1 minute for 66% housheolds) than that in Delhi JJ (where more than 47% people reported time to access is higher than 5 minutes) (see Table 5).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Drinking Water: · p. 32Slums in Mumbai and RR colonies do not have this problem, but members in 17.3% households in Mumbai and 8.3% households in RR colonies use standpipes and have access to water only for less than 2 hours per day.
“Slums in Mumbai and RR colonies do not have this problem, but looking at the duration of source we find that members in 17.3% households in Mumbai and 8.3% households in RR colonies use standpipes and have access to water only for less than 2 hours per day.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 25The average household size of the surveyed households appears to be lower in slums of Mumbai and Kolkata; around 2/3 of the households in Delhi's JJ clusters and RR colonies have 5 or more members, whereas the corresponding incidences in Kolkata and Mumbai are only around half.
“The average household size of the surveyed households appears to be lower in slums of Mumbai and Kolkata. Around 2/3 of the households in Delhi's JJ clusters and RR colonies have more than 5 or more members, whereas the corresponding incidences in Kolkata and Mumbai are only around half.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 23Only around a quarter of the heads in Delhi slums and two-fifth of the heads in Mumbai slums were born within the respective cities, while in Kolkata more than three-fifth of the heads were born within the city.
“The second noteworthy observation from Table 1, which links with the historical genesis of the slums of cities, is that only around a quarter of the heads in Delhi slums and two-fifth of the heads in Mumbai slums were born within respective cities. In Kolkata, on the other hand, more than three-fifth of the heads were born within the city.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ Drinking Water: · p. 32Slums in Mumbai have the highest coverage to standpipes, slums in RR colonies appear to have the highest coverage of personal standpipes; whereas slums in Kolkata have the lowest coverage of personal standpipes.
“Although slums in Mumbai have the highest coverage to standpipes, slums in RR colonies appear to have the highest coverage of personal standpipes; whereas slums in Kolkata have the lowest coverage of personal standpipes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Over-crowding: · p. 30In slums of Kolkata, Mumbai and JJ clusters of Delhi, less than three members reside per sleeping room in 27-29% of constructions, three or more but less than six members reside per sleeping room in majority of the constructions (52-59%), and 6 or more members reside per sleeping room in smallest fraction of constructions (12-19%).
“less than three members reside per sleeping room in 27-29% of constructions, three or more but less than six members reside per sleeping room in majority of the constructions (52-59%), and 6 or more members reside per sleeping room in smallest fraction of constructions (12-19%).”
Quote in the paperSubstantial claim- Rests on an assumption: Unlike in rural areas, the competition for living spaces is more stringent in urban areas and especially in slums.
May combine two claims.
Findingown data§ Housing: · p. 27In Delhi, more than 80% of constructions are owned by the households; whereas only 12-15% of the constructions are rented.
“In Delhi, more than 80% of constructions are owned by the households; whereas only 12-15% of the constructions are rented.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ Housing: · p. 29Majority of the semi-pucca or kutcha houses of Delhi JJ slums, although owned, are actually built on public lands and have been subjected to constant threat of eviction and demolition.
“Majority of the semi-pucca or kutcha houses of Delhi JJ slums, although owned, are actually built on public lands (railways, local government bodies etc.) and have been subjected to constant threat of eviction and demolition.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 25The shares of households identifying themselves as other backward classes in slums of Delhi and Mumbai stand at 20-24%, but the corresponding share is quite low in Kolkata.
“The shares of households identifying themselves as other backward classes in slums of Delhi and Mumbai stand at 20-24%, but the corresponding share is quite low in Kolkata.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 24Kolkata has witnessed larger pre-independence migration, whereas Mumbai and Delhi have witnessed relatively larger post-independence migration.
“Again, supporting the historical genesis, it is evident both from Figure 1 that Kolkata has witnessed a larger pre-independence migration, whereas Mumbai and Delhi has witnessed relatively larger post-independence migration.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35Incidences of deprivation in slums of Kolkata and Delhi's JJ clusters are close to each other and reasonably high for the sanitation indicator (more than 80%).
“Moreover, incidences of deprivation in slums of Kolkata and Delhi's JJ clusters are close to each other and reasonably high for sanitation indicator (more than 80%)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 23Heads of a third of the slum households in Kolkata and 45% of slum households in Mumbai have reported their state of origin as the native state.
“Heads of a third of the slum households in Kolkata and a 45% of slum households in Mumbai have reported their state of origin as the native state.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingnone given§ Housing: · p. 28In Delhi RR colonies, 17% constructions are 20-30 years old, 21.3% constructions are 10-20 years old and 25.9% constructions are as new as being built within the last 10 years.
“17% constructions are 20-30 years old, 21.3% constructions are 10-20 years old and 25.9% constructions are as new as being built within the last 10 years.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 25In Kolkata and Mumbai slums, 37.9% and 44% households, respectively, do not have any child and only 12% households in each of these two cities have three or more children; in Delhi, a smaller fraction of households has no children and a much higher fraction has three or more children.
“In Kolkata and Mumbai slums, 37.9% and 44% households, respectively, do not have any child and only 12% households in each of these two cities have three or more children. In Delhi, however, smaller fraction of households has no children and much higher fraction of households has three or more children.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ Cooking Fuel & Kitchen: · p. 32Outdoor cooking is not so common in other two cities, but cooking inside the sleeping rooms without chimneys takes place in many households of Delhi's JJCs (52%), Mumbai slums (39%) and Delhi RR colonies (23.9%).
“Outdoor cooking is not so common in other two cities, but cooking inside the sleeping rooms without chimneys takes place in many households of Delhi's JJCs (52%), Mumbai slums (39%) and Delhi RR colonies (23.9%).”
Quote in the paperNot a substantial claim- Rests on an assumption: In urban setting, cooking outside of house or cooking within the same room used for sleeping also reflects the poorer socio-economic status of the household.
May combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 24The share of migration has slowed down at the dawn of the new millennium in all cities, and the majority of the migration took place between 1970 and 2000; of the migrated households, 65-80% household heads migrated to the slums of cities in this period of 30 years.
“Consistently, the share of migration has slowed down at the dawn of the new millennium in all cities. The majority of the migration took place between 1970 and 2000. Of the migrated households, 65-80% household heads migrated to the slums of cities in this period of 30 years.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingreasoning§ Housing: · p. 29In Delhi JJ clusters, 83% of constructions are either semi-pucca or kutcha, but the same proportions of constructions are pucca in RR colonies.
“In JJ clusters, 83% of constructions are either semi-pucca or kutcha, but the same proportions of constructions are pucca in RR colonies.”
Quote in the paperNot a substantial claim- Rests on an assumption: Slums or squatters are often characterized by poorer quality housing structures compared to the rest of the city.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone given§ Housing: · p. 27Many Pagri tenants in Mumbai also claimed to be the owner of the houses.
“Many Pagri tenants in Mumbai also claimed to be the owner of the houses.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Cooking Fuel & Kitchen: · p. 32In Kolkata, for more than a fifth (22.3%) of all households cooking takes place outside of house and for 44.6% of households cooking takes place inside sleeping room without chimneys and exhaust fans.
“In Kolkata, for more than a fifth (22.3%) of all households cooking takes place outside of house and for 44.6% of households cooking takes place inside sleeping room without chimneys and exhaust fans.”
Quote in the paperNot a substantial claim- Rests on an assumption: In urban setting, cooking outside of house or cooking within the same room used for sleeping also reflects the poorer socio-economic status of the household.
May combine two claims.
Findingown data§ Housing: · p. 29In Mumbai, nearly half of the constructions are pucca; whereas in Kolkata, only a quarter of all slum constructions are pucca.
“In Mumbai, nearly half of the constructions are pucca; whereas in Kolkata, only a quarter of all slum constructions are pucca.”
Quote in the paperNot a substantial claim- Rests on an assumption: Slums or squatters are often characterized by poorer quality housing structures compared to the rest of the city.
May combine two claims.
Findingown data§ Housing: · p. 27Thika tenancy is more prevalent in Kolkata bastis, whereas pagri system is more common in Mumbai Chawls and older bastis.
“Thika tenancy is more prevalent in Kolkata bastis, whereas pagri system is more common in Mumbai Chawls and older bastis.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Asset Holding: · p. 33The density of cell phone ownerships varies across cities. While in Mumbai there are 1.5 adult persons per cell phone, there are 2.3 adult members per cell phone in Delhi's JJ cluster.
“the density of cell phone ownerships varies across cities. While in Mumbai there are 1.5 adult persons per cell phone, there are 2.3 adult members per cell phone in Delhi's JJ cluster.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Housing: · p. 28Most constructions (nearly 85%) in JJ clusters are developments not older than 30 years and 19.6% of the constructions were developed within the past ten years.
“Most constructions (nearly 85%) in JJ clusters are developments not older than 30 years and 19.6% of the constructions were developed within the past ten years.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 27The average years of schooling is highest in Mumbai and lowest in Delhi's JJ clusters.
“The highest average years of schooling is observed in Mumbai, and the lowest in Delhi's JJ clusters.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4. Demographics Characteristics · p. 26In the surveys, slums in Kolkata, Mumbai and Delhi's RR colonies have similar or slightly better overall sex ratios (935 in Delhi RR, 951 in Mumbai and 945 in Kolkata), but the sex ratio in Delhi's JJ colonies is much lower at 888.
“In our surveys, we find that slums in Kolkata, Mumbai and Delhi's RR colonies have similar or slightly better overall sex ratios (935 in Delhi RR, 951 in Mumbai and 945 in Kolkata). However, the sex ratio in Delhi's JJ colonies is much lower at 888.”
Quote in the paperNot a substantial claim- Rests on an assumption: The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
May combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 43Per capita expenditure is highest in Mumbai, followed by Delhi RR colonies, Delhi JJ clusters, and then Kolkata.
“the per capita expenditure is highest in Mumbai, followed by Delhi RR colonies, Delhi JJ clusters and then Kolkata”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 47There is statistically significant lower enrolment of girls in private schools than boys in the slums of Mumbai and Delhi; this difference is highest among Delhi RR residents.
“We find statistically significant lower enrolment of girls in private schools than the boys in the slums of Mumbai and Delhi; strikingly, this difference is highest among the Delhi RR residents”
Quote in the paperSubstantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 36In Mumbai and Delhi, the time of migration matters: those who migrated earlier tended to be less materially deprived than those who migrated in later phases, and these differences are statistically significant.
“In Mumbai and Delhi, we observe that the time of migration matters. Those who migrated earlier in the city tended to be less materially deprived than those who migrated in later phases. These differences in material-deprivation scores are statistically significant.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 9. Employment and Earning · p. 49A wide difference across gender is consistently observed in all three cities, where not only LFPRs among females are much lower but also their average monthly earning.
“Unfortunately, a wide difference across gender is consistently observed in all three cities, where not only LFPRs among females are much lower but also their average monthly earning”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 48Nearly 80% of students in Delhi slums who are attending government schools receive mid-day meals, whereas the proportion of such students ranges between 64-66% in slums of Kolkata and Delhi.
“Nearly 80% students in Delhi slums who are attending government schools receive mid-day meals; whereas the proportion of such students ranges between 64-66% in slums of Kolkata and Delhi”
Quote in the paperSubstantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingreasoning§ 7. Monetary Dimensions · p. 42In Kolkata, more than 58% of grocery expenditure is spent on cereals, compared with 45% in Delhi and 51% in Mumbai.
“in Kolkata more than 58% of the grocery expenditure is spent on cereals; whereas only 45% and 51% of the same is spent on cereals in Delhi and Mumbai”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 7. Monetary Dimensions · p. 41Between 6.6-6.8% of per capita expenditure in slums of Mumbai and Delhi is spent on cooking fuel, while the share is higher for Kolkata (8.1%).
“Looking at the fourth item - cooking fuel, we find that between 6.6-6.8% of the per capita expenditure in slums of Mumbai and Delhi are spent on this item. The share is higher for Kolkata (8.1%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 7. Monetary Dimensions · p. 40The share of rent to overall per capita expenditure in Mumbai is 8.4%, while in Delhi and Kolkata it ranges between 2.1 and 4.3%.
“The share of rent to the overall per capita expenditure in Mumbai is 8.4%, however the share of rent ranges between 2.1 and 4.3% only in Delhi and Kolkata”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 6. Migrant Status and Mutiple Material Deprivations · p. 37In Kolkata, those who migrated between 1971-90 face higher rates of deprivation compared to the other two groups (before 1970 and after 1990), who are exactly on equal footing.
“Unfortunately, those who migrated between 1971-90 are facing higher rate of deprivations compared to the other two groups who are exactly on equal footing.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ 9. Employment and Earning · p. 49Most of the slum dwellers are employed in the informal sectors and merely earn paltry compensation.
“Incidentally, we find that most of the slum dwellers are employed in the informal sectors and merely earn paltry compensation”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 48Although per-capita expenditure and per-capita income are not quite different in slums of Kolkata and Delhi, the tendency to attend government schools is much higher in Delhi.
“Quite interestingly, although the level of per-capita expenditure and per-capita income are not quite different in slums of Kolkata and in Delhi, the tendency to attend government schools are much higher in Delhi”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 41In Mumbai slums, the share of expenditure spent on Kerosene is only one-fifth of per capita fuel expenditure, whereas in Delhi more than 90% of cooking fuel expenditure is spent on LPG.
“In Mumbai slums, the share of expenditure spent on Kerosene is only one-fifth of the per capita expenditure on fuel; whereas in Delhi more than 90% of the expenditure on cooking fuel is spent on LPG.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 40Rent and electricity bills together account for 19.5% of per capita expenditure in slums of Mumbai and RR colonies, 12.1% in Kolkata, and 13.4% in JJ colonies of Delhi.
“The rent and electricity bills together, both in the slums of Mumbai and RR colonies, account for 19.5% of the per capita expenditure. The corresponding shares in Kolkata and JJ colonies of Delhi are 12.1% and 13.4%, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 46In Delhi, a higher proportion of students are enrolled in government school; in JJ clusters, more than 80% attend government school and less than 15% attend private schools.
“In Delhi but a higher proportion of students are enrolled in government school. In JJ clusters, more than 80% of the students attend government school and less than 15% of the students attend private schools”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingnone given§ 9. Employment and Earning · p. 50In Delhi's JJ clusters, 53.9% of males continue to participate in the labour market, whereas in Kolkata, Mumbai and Delhi's RR colonies, a substantially lower percentage of males (23-32%) remain active.
“In Delhi's JJ clusters, 53.9% of males continue to participate in the labour market, whereas in Kolkata, Mumbai and Delhi's RR colonies, a substantially lower percentage of males (23-32%) remain active.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 38In Delhi, inequality in per capita income appears slightly higher in RR colonies, whereas inequality in per capita expenditure appears slightly higher in JJ clusters.
“If we divide the slums in Delhi into JJ clusters and RR colonies, then inequality in per capita income appears to be slightly higher in RR colonies, whereas inequality in per capita expenditure appears to be slightly higher in JJ clusters.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 7. Monetary Dimensions · p. 41In Delhi slums, 17-20% of LPG is purchased from private sources and the price differential between public and private sources is very large compared to Mumbai and Kolkata.
“Another notable aspect within Delhi slums is that 17-20% of LPG is purchased from private sources and the price differential between public and private sources is very large, compared to Mumbai and Kolkata.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ 9. Employment and Earning · p. 51In Delhi JJ, female dropout rate is very high even before grade VIII and majority of them are not allowed to go for work outside the home.
“In Delhi JJ however situation is different, female dropout rate is very high even before grade VIII and at the same time majority of them are not allowed to go for work outside the home.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 7. Monetary Dimensions · p. 41More than 5% of per capita expenditure is spent on outward remittances in Mumbai and JJ clusters, whereas the corresponding figure is 3.6% in Kolkata.
“More than 5% of the per capita expenditure is spent on outward remittances in Mumbai and JJ clusters; whereas the corresponding figure is 3.6% in Kolkata.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 40In Kolkata, a higher proportion of people live in rented accommodation (almost 62%) compared to Delhi JJ and RR (13% to 16%), but rent in Kolkata is much lower (especially for Thika Tenants, as low as Rs. 20 per month) than in Delhi JJ and RR (at least Rs. 3000 per month).
“In Kolkata although a higher proportion of people are living in rented accommodation (almost 62%) vis-à-vis Delhi JJ and RR (13% to 16%) (see, Table 4), the rent in Kolakata is much lower (especially for Thika Tenants, as low as Rs. 20 per month) than that of in Delhi JJ and RR (at least Rs. 3000 per month).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 45From our survey, the enrolment rate among the 6-21 years age group is around 83% in Mumbai and in Delhi RR colonies, whereas the same in Kolkata and in Delhi JJ clusters is around 75-76%.
“From our survey, we find that the enrolment rate among 6-21 years age group is around 83% in Mumbai and in Delhi RR colonies; whereas the same in Kolkata and in Delhi JJ clusters is around 75-76%”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingown data§ Educational achievements of the adults: · p. 44Adult literacy rate (age 15+) is highest, nearly 90%, in slums of Mumbai, 82-84% in slums of Kolkata and in RR colonies of Delhi.
“The adult literacy rate (for age group 15 years or more) is highest (nearly 90%) in slums of Mumbai, 82-84% in slums of Kolkata and in RR colonies of Delhi”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 43Food expenditure is higher in Mumbai than in Kolkata, with Delhi JJ very close to Kolkata.
“Although the food expenditure is higher in Mumbai than in Kolkata (Delhi JJ is very close to Kolkata)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 43The proportion of pure vegetarian households is 3.5% in Kolkata slums, 17.8% in Mumbai slums, and 23.9% in Delhi slums (19.4% in JJ clusters and 29.4% in RR colonies).
“While the proportion of pure vegetarian households is 3.5% in Kolkata slums, the proportions of the same are 17.8% in Mumbai slums and 23.9% in Delhi slums (19.4% in JJ clusters and 29.4% in RR colonies)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 48The median reported distance to schools is very similar across cities, ranging between 10-15 minutes, with no striking difference across cities.
“The median of reported distances to schools are very similar across cities. The median ranges between 10-15 minutes. We do not find any striking difference across cities”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 38The Gini coefficients of per capita income in all three cities lie between 33.4 and 36.3, and the Gini coefficients of per capita expenditure lie between 22.5 and 24.6.
“The Gini coefficients of per capita income in all three cities lie between 33.4 and 36.3; whereas the Gini coefficients of per capita expenditure lie between 22.5 and 24.6.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 4140% of Kerosene is purchased from private sources at a much higher price (Rs. 41 per litre).
“However, we notice that 40% of the Kerosene is purchased from the private sources at a much higher price (Rs. 41 per litre).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35The incidence of deprivation in cooking arrangement differs in nature between Kolkata and Delhi JJ: in Kolkata due to more use of Kerosene and biomass fuel (97%), whereas in Delhi more people cook inside the sleeping room.
“in Kolkata because of more incidence of use of Kerosene and biomass fuel (97%), whereas in Delhi more people are cooking inside the sleeping room.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ 9. Employment and Earning · p. 49The LFPRs among adult males in 15-64 age-groups in all cities are more than 70%, but the same among females are less than 25%.
“The LFPRs among adult males in 15-64 age-groups in all cities are more than 70% but the same among females are less than 25%”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 46In Kolkata, nearly 55.4% of students attend private schools and 39.7% attend government schools.
“In Kolkata, nearly, 55.4% of the students attend private schools and 39.7% attend government school”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingown data§ Educational achievements of the adults: · p. 44The corresponding average years of education is 8 years in Delhi RR colonies and 6.5-6.6 years in Kolkata and JJ clusters of Delhi.
“The corresponding level is 8 years in Delhi RR colonies and 6.5-6.6 years in Kolkata and JJ clusters of Delhi”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 45The enrolment rate in elementary education (12-14 years age-group) is still high, but the enrolment rate falls drastically for higher age groups.
“Although the enrolment rate in elementary education (12-14 years age-group) is still high, the enrolment rate falls drastically for the higher age groups”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 38Levels of inequality are very similar across slums in all three cities although the sizes of distributions are quite different.
“Looking at the inequality measures, we find the levels of inequality to be very similar across slums in all three cities although the sizes are quite different.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 45The gender difference in enrolment is small and statistically significant in Mumbai, but no statistically significant differences are found in other slums.
“Although the gender difference is small and statistically significant in Mumbai, we do not find any statistically significant differences in other slums”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 7. Monetary Dimensions · p. 40Per capita expenditure on rent and electricity bills in Kolkata slums is less than half of that in Mumbai, and in Delhi's JJ clusters it is less than two-thirds of that in Delhi's RR colonies.
“What we notice is that the per capita expenditure on rent and electricity bills in Kolkata slums is less than half of the same in Mumbai and the expenditure on these two items in Delhi's JJ clusters is less than two-third of the same in Delhi's RR colonies.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 44Although literacy rates among the 15-24 age group in slums are more than 90%, in JJ clusters still 9% of younger adult slum dwellers cannot read, write or sign.
“Although literacy rates among this age group in slums are more than 90%, in JJ clusters still 9% of younger adult slum dwellers cannot read, write or sign”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 7. Monetary Dimensions · p. 43Per capita expenditure on non-vegetable items is much higher in Kolkata slums, followed by Mumbai slums, and in Delhi slums it is less than half of that in Kolkata.
“The per capita expenditure on non-vegetable items is much higher in Kolkata slums followed by Mumbai slums, and in Delhi slums the per capita expenditure on non-vegetable items is less than half of that in Kolkata”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ Educational achievements of the adults: · p. 47Private schools are preferred for boys, while girls are more likely to join government schools.
“Typically, private (most often English Medium and costly) schools are preferred for the boys, while the girls are more likely to join government (vernacular language and quasi-free) schools”
Quote in the paperSubstantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
Classified as probably not a substantial claim.
Findingown data§ 7. Monetary Dimensions · p. 41The unit price of Kerosene available through PDS is cheaper (Rs. 15 per litre), as evident from Table 11.
“One may argue that the unit price of Kerosene available through PDS (Rs. 15 per litre) is cheaper, which is evident from Table 11.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 44Although the gender difference in years of schooling is statistically significant among the youngest group of adults in RR colonies, the difference is lowest among the three age groups.
“Although the gender difference in years of schooling is statistically significant among the youngest group of adults in RR colonies, the difference is lowest among the three age groups”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 45Among the 19-21 age-group, the enrolment rate in colleges is just above 50% in Mumbai and in RR colonies of Delhi and even below 40% in slums of Kolkata and Delhi's JJ clusters.
“Among the 19-21 age-group, the enrolment rate in colleges is just above 50% in Mumbai and in RR colonies of Delhi and even below 40% in slums of Kolkata and Delhi's JJ clusters”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingnone given§ 9. Employment and Earning · p. 50Overall LFPRs and gender-wise differences in LFPRs are similar across slums and across different age groups.
“Although the overall LFPRs and gender-wise differences in LFPRs are similar across slums and across different age groups, there are two particular differences that are worth noting.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ Educational achievements of the adults: · p. 45Enrolment rate among the 6-11 years age group is very high and ranges between 95-97% in all cities, without any statistically significant difference across gender.
“Due to the government policy of universal primary education, the enrolment rate among 6-11 years age group is very high and ranges between 95-97% in all cities, without any statistically significant difference across gender”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingown data§ 7. Monetary Dimensions · p. 41Of per capita expenditure on cooking fuel in Kolkata, only a third is spent on LPG and nearly 58% is spent on Kerosene.
“Of the per capita expenditure on cooking fuel in Kolkata, only a third is spent on liquid petroleum gas (LPG) and nearly 58% is spent on Kerosene.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 37In panel III of Table 8, there is a pecking order of higher mean deprivation score for more recent migrant households in Mumbai and Delhi, while Kolkata is again an aberration.
“In panel III of Table 8, we again find a pecking order of higher mean deprivation score for the more recent migrant households in Mumbai and Delhi. Kolkata again is an aberration to this trend.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ Educational achievements of the adults: · p. 46In Mumbai, 56.8% of students in the 6-14 age-group are enrolled in private schools, whereas only 38.1% are enrolled in government schools.
“In Mumbai, 56.8% of the students in the 6-14 age-group are enrolled in private schools; whereas only 38.1% of the students in the same age group are enrolled in government schools”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Slum dwellers in the age group of 6-21 years are potential students.
- The authors state this as an assumption: The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
May combine two claims.
Findingown data§ 10. Job Conditions and Security · p. 51In Kolkata 77.4%, in Mumbai 62.3%, in Delhi JJ clusters 89.5% and in Delhi RR 76% of slum dwellers have informal jobs.
“In Kolkata 77.4%, in Mumbai 62.3%, in Delhi JJ clusters 89.5% and in Delhi RR 76% of slum dwellers have informal jobs.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown data§ 11. Discussions and Concluding Remarks · p. 5290% of children in the age group of 6-14 years are enrolled in schools.
“The average years of schooling completed by slum dwellers in all three cities do not surpass nine years, but 90% of children in the age group of 6-14 years are enrolled in schools as well as more than 90% of the adults in the age group of 15-25 years are literate.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 53Nearly 80% of the students in the same age group in public schools receive mid-day meal in Delhi, but the corresponding proportion is between only 64-66% in both Kolkata and Mumbai.
“Relatedly, nearly 80% of the students in the same age group in public schools receive mid-day meal in Delhi, but the corresponding proportion is between only 64-66% in both Kolkata and Mumbai.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 53In squatters of Delhi less than half of the adult women are illiterate in the age group of 25-50 years and more than 80% are illiterate in the age group of 50 years or more.
“In squatters of Delhi less than half of the adult women are illiterate in the age group of 25-50 years and more than 80% are illiterate in the age group of 50 years or more.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 52Although the slums and the constructions within them are much older in Kolkata, yet much higher proportion of houses are built with unimproved floor, wall or roof materials.
“Although the slums and the constructions within them are much older in Kolkata, yet much higher proportion of houses are built with unimproved floor, wall or roof materials, which directly affects the slum dwellers' living conditions.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 11. Discussions and Concluding Remarks · p. 53Around 31% of Mumbai slum dwellers and 47% of Delhi JJ cluster slum dwellers travel more than five minutes to access the facilities.
“Close to 70% of the slum dwellers of all three cities depend heavily on publicly provided sanitation facilities in their neighbourhood, but around 31% of Mumbai slum dwellers and 47% of Delhi JJ cluster slum dwellers travel more than five minutes to access the facilities.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 52In Delhi, only a quarter of the household heads were born in the city and merely 20% of all constructions in slums are older than 30 years.
“In Delhi, on the other hand, only a quarter of the household heads were born in the city and merely 20% of all constructions in slums are older than 30 years.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 11. Discussions and Concluding Remarks · p. 53Although the overall per capita expenditure is statistically significantly higher in Delhi slums, there is no statistically significant difference in per capita food expenditures.
“For example, although the overall per capita expenditure is statistically significantly higher in Delhi slums, there is no statistically significant difference in per capita food expenditures.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 11. Discussions and Concluding Remarks · p. 53The monthly average nominal income is highest in slums of Mumbai followed by the slums in Delhi and then Kolkata.
“The monthly average nominal income is thus highest in slums of Mumbai followed by the slums in Delhi and then Kolkata.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 53Although the school enrolment rate among the 6-14 years age group is more than 90% in all cities, majority of the students in Delhi slums appear to attend public school but majority of the students in Mumbai appear to attend private schools.
“Among children, although the school enrolment rate among the 6-14 years age group is more than 90% in all cities, majority of the students in Delhi slums appear to attend public school but majority of the students in Mumbai appear to attend private schools.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 11. Discussions and Concluding Remarks · p. 53Mumbai fare much better in providing larger frequency of personal as well as non-personal facilities that reduces the time to fetch water.
“Mumbai fare much better in providing larger frequency of personal as well as non-personal facilities that reduces the time to fetch water.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 11. Discussions and Concluding Remarks · p. 53There are crucial differences across cities in terms of personal versus non-personal access, time taken to fetch water from the source, the duration of water availability per day.
“However, there are crucial differences across cities in terms of personal versus non-personal access, time taken to fetch water from the source, the duration of water availability per day.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 11. Discussions and Concluding Remarks · p. 5487% of all households in Mumbai and more than 94% of households in Delhi have adopted liquid petroleum gas (LPG) as cooking fuel; whereas in Kolkata slums only 47% of households use LPG.
“We have found that 87% of all households in Mumbai and more than 94% of households in Delhi have adopted liquid petroleum gas (LPG) as cooking fuel; whereas in Kolkata slums only 47% of households use LPG.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 11. Discussions and Concluding Remarks · p. 54Around 70 percent of all households in Mumbai and Delhi's RR colonies responded that they were satisfied with living conditions; whereas around half of all households in Kolkata and Delhi's JJ clusters responded that they were either not satisfied or very dissatisfied with their living conditions.
“Around 70 percent of all households in Mumbai and Delhi's RR colonies responded that they were satisfied with living conditions; whereas around half of all households in Kolkata and Delhi's JJ clusters responded that they were either not satisfied or very dissatisfied with their living conditions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 53The adult literacy rate within Mumbai slums is nearly 90%, whereas the adult literacy rate in squatters of Delhi is only 70%.
“The adult literacy rate within Mumbai slums is nearly 90%, whereas the adult literacy rate in squatters of Delhi is only 70%.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 52In Kolkata, more than 60% of household heads in slums were born in the city and nearly 70% of the constructions are older than 30 years.
“In Kolkata, more than 60% of household heads in slums were born in the city and nearly 70% of the constructions are older than 30 years.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone given§ 11. Discussions and Concluding Remarks · p. 54Residents in Mumbai slums have bore the cost of a LPG connection themselves; whereas the Delhi government has paid a subsidy (for an LPG cylinder and stove) to all the PDS cardholders to convert them from being Kerosene users to LPG users.
“Residents in Mumbai slums have bore the cost of a LPG connection themselves; whereas the Delhi government has paid a subsidy (for an LPG cylinder and stove) to all the PDS cardholders to convert them from being Kerosene users to LPG users.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ 1. Introduction · p. 7The distance between the three cities allows the study to capture crucial geographical, cultural and preference-based differences.
“each city being 9001250 miles away from each other, allows us to capture crucial geographical, cultural and preferencebased differences.”
Quote in the paperNot a substantial claim- Rests on an assumption: The three cities are 900-1250 miles away from each other.
May combine two claims.
Premisecitation§ 1. Introduction · p. 7Mumbai, Delhi, and Kolkata have the largest share of slum population in India, with Mumbai largest, followed by Delhi, then Kolkata.
“First, these three cities have the largest share of slum population in India: Mumbai being the largest followed by Delhi and then Kolkata.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] A Kundu, 2007, Migration, Employment Status and Poverty: An Analysis across Urban Centres, Economic and Political Weekly
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ Housing: · p. 28The trend in duration of construction is quite consistent with the migration pattern observed in Table 2 earlier.
“The trend is quite consistent with the migration pattern observed in the Table 2 earlier.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ Types of Slums · p. 12Legally notified slums are those designated as slums under the Slum Areas Improvement and Clearance Act (1956).
“Legally notified slums are those that have been designated as slums under the Slum Areas Improvement and Clearance Act (1956).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ Sampling · p. 9Ward C in Mumbai did not have any slum dweller.
“Samples were collected from 23 wards because one ward (Ward C) did not have any slum dweller.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ Types of Slums · p. 13Having a legally recognised foothold in the city empowers and enables slum dwellers to have formal access to basic services and brings some stability in their life.
“Having a legally recognised foothold (in the form of a registered slums or rehabilitated settlements vis-à-vis squatters) in the city empowers and enables the slum dwellers to have a formal access to basic services. This certainly brings some stability in their life”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ Squatters (around Shahjahanabad) till 1950 : · p. 20Priya (1993) notes that DIT had done next to nothing towards increasing housing for the previous poor inhabitants or for the new immigrants, and if anything it added to the problem by demolishing some housing available to the poor under slum clearance schemes without adequate rehousing.
“Priya (1993) notes ' DIT had done next to nothing towards increasing housing for the previous poor inhabitants or for the new immigrants. If anything it had only added to the problem by demolishing some of the housing available to the poor under slum clearance schemes without adequate rehousing so that the evicted added to the congestion of surrounding areas.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Priya (1993)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Premisecitation§ Sanitation: · p. 30NFHS-3 (2005-06) survey found that just 5% of poor families in Delhi had unshared toilet facilities, and 19% of slum residents had no toilet facility.
“NFHS-3 (2005-06) survey found that just 5% of poor families in Delhi had unshared toilet facilities, and 19% of slum residents had no toilet facility.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites NFHS-3 (2005-06)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationreasoning§ 6. Migrant Status and Mutiple Material Deprivations · p. 35Delhi RR colony dwellers are the least deprived among all slum dwellers because of their ownership status of the plot of land and relatively better access to civic facilities.
“The dwellers of Delhi RR colonies are the least deprived ones amongst all, because of their ownership status of the plot of land and relatively better access to the civic facilities.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone given§ Survey Design · p. 8In the first stage, the municipal corporation areas of each city were stratified according to the largest possible administrative divisions available through official documents.
“In the first stage, the municipal corporation areas of each of the three cities were stratified according to the largest possible administrative divisions that are available through official documents.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ Sanitation: · p. 30India is known to have made notoriously slow progress in improving access to sanitation - especially in rural areas, which is also evident from the NFHS 2005/06 report.
“India is known to have made notoriously slow progress in improving access to sanitation - especially in rural areas, which is also evident from the NFHS 2005/06 report.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites NFHS 2005/06
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationnone given§ Housing: · p. 29Constructing a pucca structure in these slums draws attention of civic bodies or policemen, which results in graft payments by the dwellers.
“constructing a pucca structure in these slums draws attention of civic bodies or policemen, which results in graft payments by the dwellers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ Types of Slums · p. 13Tenure insecurity is an important aspect of slum dwellers and their marginalisation, but it is not considered an important parameter by the Slum Act of 1956 or by Census and NSSO authorities while declaring an area as slum.
“According to UN-HABITAT (2012, 2014) tenure insecurity is an important aspect of slum dwellers and their marginalisation, but this is not considered as an important parameter by the Slum Act of 1956 or by the authorities of Census and NSSO while declaring any area as slum.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites UN-HABITAT, 2012, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoning§ Survey Modules · p. 11The survey questionnaire was designed on the basic framework of the latest round of NSSO household survey and slum particulars, and customized to incorporate more variables learned from the pilot survey.
“We designed our survey questionnaire on the basic framework of the latest round of NSSO household survey and slum particulars, and customized it further to incorporate more variables so as to capture the intrinsic slum characteristics that we learned from our pilot survey.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ Sanitation: · p. 30Tiny allotted plot size (25 sq.yds. or less) coupled with no provision of good sewerage system do not allow residents to construct their own sanitation facilities and force them to use paid public toilets (e.g. Bawana Relocation Colony, Delhi).
“Tiny allotted plot size (25 sq.yds. or less) coupled with no provision of good sewerage system do not allow residents to construct their own sanitation facilities and force them to use paid public toilets (e.g. Bawana Relocation Colony, Delhi).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ Since the turn of 20 th Century: · p. 17Mumbai's industrial growth attracted migrants and contributed to the rapid growth of Bombay, and consequently the numbers of slums and their population have increased a great deal.
“With this industrial growth, job opportunities remained buoyant and that attracted more migrants and contributed to the rapid growth of Bombay.”
- Also stated in: § Since the turn of 20 th Century: · p. 17 · plain
“consequently the numbers of slums and their population have increased a great deal.”
Quote in the paperNot a substantial claim- Also stated in: § Since the turn of 20 th Century: · p. 17 · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoning§ Sampling · p. 9Proposed sample sizes were 800 households from Kolkata slums, 1,250 from Delhi slums, and 1,200 from Mumbai slums.
“Our proposed sample sizes were 800 households from the slums of Kolkata, 1,250 samples from the slums of Delhi; and 1,200 samples from the slums of Mumbai.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Types of Slums · p. 12Basti settlements are tenements created by local landlords or their agents to provide shelters to migrant industrial workers on the basis of a long-term lease agreement (Thika or Pagri).
“The Basti (a local term used in all three cities) settlements are the tenements created by local landlords or their agents to provide shelters to migrant industrial workers on the basis of a (long term) lease agreement (called Thika or Pagri). 21”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] M Ravallion, 2002, On the urbanization of poverty, Journal of Development Economics source
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ Historical Genesis of slums · p. 13Slums in Kolkata and Mumbai continued to grow in the post-independence era as a response to steady flow of migration and population growth far beyond existing housing capacity.
“And the slums continue to grow, even in the post independence era, as a response to steady flow of migration and growth of population far beyond the existing housing capacity.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] V Ramaswamy, 2008, Basti Redevelopment in Kolkata
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ Post-Independence growth of squatters : · p. 21In the post-independence era, the population of Delhi increased many folds due to refugee immigrants from West Pakistan and large-scale migration from rural areas due to employment opportunities and regional economic imbalances, resulting in a rapid increase in jhuggi-jhopris.
“In the post-independence era, the population of Delhi increased many folds for two reasons. First, immediately after the independence Delhi registered a deluge of refugee immigrants from West Pakistan. Secondly, the employment opportunities (formal and informal), 'city development' activity and the increasing need for service and labour in the better-off urban sections had led to continuing large”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 4. Demographics Characteristics · p. 26According to the Census Authority of India, the overall sex ratio in slums has improved from 887 in 2001 to 928 in 2011.
“According to the Census Authority of India, the overall sex ratio in slums has improved from 887 in 2001 to 928 in 2011.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Census Authority of India
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoning§ Survey Design · p. 8In Kolkata, stratification was at the borough level; in Mumbai at the ward level; and in Delhi at the revenue-district level.
“In case of Kolkata, the stratification was done at the borough level, which means that each borough represents a stratum. In case of Mumbai, the stratification was conducted at the ward level and for Delhi at the revenue-district level.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ Proliferation of Slums in the Colonial Phase, birth of Dharavi and beyond: · p. 17Dharavi grew haphazardly without provision for sanitation, drains, safe drinking water, roads or other basic services.
“The living quarters and small-scale factories grew haphazardly, without provision for sanitation, drains, safe drinking water, roads or other basic services (Sharma, 2000, pp. 6-8).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sharma, 2000, pp. 6-8
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoning§ Survey Design · p. 8The second-stage restriction increased the likelihood of selecting a larger number of slums within bigger strata.
“This restriction thus increased the likelihood of selecting a larger number of slums within bigger stratum.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Historical Genesis of slums · p. 13In Kolkata and Mumbai, slums came into existence in the colonial period because of large-scale rural-urban migration closely linked to the industrialization process.
“Both in Kolkata (the-then Calcutta) and in Mumbai (erstwhile Bombay), slums came into existence in the colonial period because of large-scale rural-urban migration that was closely linked to the industrialization process.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] V Ramaswamy, 2008, Basti Redevelopment in Kolkata
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ Types of Slums · p. 12Resettlement colonies are built by government-designated authorities to rehabilitate residents evicted mainly from squatter settlements on public land.
“These colonies are built by the government-designated authorities to rehabilitate residents evicted (mainly) from squatter settlements on public land.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone given§ Survey Design · p. 8In the second stage, slums were randomly selected within each stratum, and then households were randomly selected from each selected slum.
“In the second stage, first a collection of slums were randomly selected within each stratum (borough/ward/revenue districts) and then the households were selected randomly to be interviewed from each of the selected slums.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ Types of Slums · p. 13Residents of resettlement colonies still maintain almost similar, poor access to basic services, their property rights remain severely limited, and sometimes they are not legally guaranteed protection from another eviction.
“Residents of these resettlement colonies still maintain almost similar, poor access to basic services, their property rights remain severely limited, and sometimes they are not legally guaranteed protection from another eviction.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sheikh et. al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ The Resettlement (and Relocation) Colonies : · p. 21After 1970, as the rate of migration increased, resettlement has not been able to keep pace with the growth of JJ clusters.
“However, given the limited size of slum population prior to 1970, it was possible to shift most of the squatting households to various resettlement colonies, but after 1970, as the rate of migration increased, resettlement has not been able to keep pace with the growth of JJ clusters.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ Over-crowding: · p. 30The 2005/06 National Family Health Survey report found that 48% of Delhi slum households had at least five, and 20% had at least seven, family members sleeping in the same room.
“The 2005/06 National Family Health Survey report also found that 48% of Delhi slum households had at least five, and 20% had at least seven, family members sleeping in the same room.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 2005/06 National Family Health Survey report
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoning§ Sampling · p. 9In Mumbai, seven wards had a low proportion of total slum population, and at least 30 samples were collected from these seven wards.
“Also, the proportion of total slum population was low in seven wards and so at least 30 samples were collected from these seven wards.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone given§ Survey Design · p. 8In the first stage, the number of households to be interviewed from each stratum was determined through proportional sampling with a requirement of at least thirty households per stratum.
“In the first stage, the number of households to be interviewed from each stratum was determined through proportional sampling with the requirement that at least thirty households should be interviewed from each stratum.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ Sampling · p. 10Jhuggi Jhopri Clusters are scattered all over Delhi across all eleven districts, whereas 47 resettlement colonies and 15 relocation sites are spread across seven of the eleven districts.
“Jhuggi Jhopri Clusters are scattered all over the city across all eleven districts; whereas 47 resettlement colonies and 15 relocation sites are spread across seven of the eleven districts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 4. Demographics Characteristics · p. 26A report by ASHA (2011) notes that the child sex imbalance (in case of Delhi) is largely driven by sex-selective abortions, in turn influenced by discrimination against females in education and opportunity, along with the burden of dowry payments at marriage.
“A report by ASHA (2011) notes that the child sex imbalance (in case of Delhi) is largely driven by sex-selective abortions, in turn influenced by discrimination against females in education and opportunity, along with the burden of dowry payments at marriage.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ASHA (2011)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ Post-Colonial Shahjanabad : · p. 20The negligence of planners towards Old Delhi resulted in its transformation to a large slum area through deterioration and dilapidation.
“The negligence of the planners towards Old Delhi resulted in its transformation to a large slum area through deterioration and dilapidation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Premisenone given§ Types of Slums · p. 12Squatter settlements are illegally occupied clusters of quasi-permanent habitation along canals, railway tracts, roads, or previously vacant degraded lands.
“The Squatter settlements (local terms are Jhupri in Kolkata, Zopadpatti in Mumbai, Jhuggi Jhopri in Delhi) are illegally occupied (either on private or government lands) clusters of quasi-permanent habitation along the canals, railway tracts, or roads or any previously vacant degraded lands.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ Sampling · p. 9In Kolkata, 808 households were interviewed from slums.
“We have interviewed 808 households from slums in Kolkata and the interviews were conducted in two phases.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ The Resettlement (and Relocation) Colonies : · p. 21Dupont (2008, pp. 80) underlines that the Delhi JJ resettlement scheme does not involve proper rehousing but a simple relocation on developed plots in resettlement colonies.
“Dupont (2008, pp. 80) underlines the relevant features of the Delhi JJ resettlement scheme, which does not involve proper rehousing but a simple relocation on developed plots in resettlement colonies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dupont (2008, pp. 80)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Sanitation: · p. 30A report by NCAER survey in Delhi and Chennai slum colonies (2002) also reflects similar pattern.
“a report by NCAER survey in Delhi and Chennai slum colonies (2002) also reflects similar pattern.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites NCAER survey in Delhi and Chennai slum colonies (2002)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ The Resettlement (and Relocation) Colonies : · p. 22These resettlement and relocation colonies at present are estimated to include nearly 420,000 households, about 15 per cent of Delhi's population.
“These resettlement and relocation colonies at present estimated to include nearly 420,000 households, about 15 per cent of Delhi's population.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoning§ Survey Design · p. 8In the second stage, the survey decided to interview at least eight households and on average fifteen households from each selected slum within each stratum.
“in the second stage, we decided to interview at least eight households and on average fifteen households from each of the selected slums with each stratum.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Types of Slums · p. 13Sheikh et al. (2014) note that the disruption created by resettlement procedure by breaking ties of livelihood has often not been adequately balanced by improved services or proper security of tenure.
“In the context of Delhi resettlement colonies, Sheikh et. al. (2014) note that the disruption created by resettlement procedure by breaking ties of livelihood has however often not been adequately balanced by improved services or proper security of tenure.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sheikh et. al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Premisecitation§ Delhi · p. 18According to the first socioeconomic survey of slums in Delhi in 1957, there were 1726 slums as 'katras' largely localised in the Walled City area and 61 squatters around the Walled city and its extensions and New Delhi area.
“According to the first socioeconomic survey of slums in Delhi in 1957, there were 1726 slums as 'katras' (a form of slum tenements, in a very dilapidated and congested housing) that were largely localised in the Walled City area and there were 61 squatters, called 'basti' or 'jhuggi', around the Walled city and its extensions (in Karol Bagh, Sadar Bazar) and also in New Delhi area (Basu 1988, pp.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Basu 1988, pp. 106-143
May combine two claims.
Study design and conductown data§ Sampling · p. 10In Delhi, 1,295 households were interviewed from slums, of which 864 were from Jhuggi Jhopri Clusters and 431 from resettlement and relocation colonies.
“We have interviewed a total of 1,295 households from the slums in Delhi, of which 864 households were from Jhuggi Jhopri Clusters and 431 households were from resettlement and relocation colonies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone given§ Sampling · p. 9Proposed sample sizes were determined by the size of the total slum population and the degree to which regional or other special subsamples were required.
“The proposed sample sizes for the three cities were determined by the size of the total slum population and on the degree to which regional or other special subsamples are required.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ Historical Genesis of slums · p. 13The historical patterns and growth of slums in Kolkata and Mumbai are very similar; Delhi follows a completely different path.
“The historical patterns and growth of slums in Kolkata and Mumbai are very similar; however, Delhi follows a completely different path.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] V Ramaswamy, 2008, Basti Redevelopment in Kolkata
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoning§ Sampling · p. 9In Mumbai, the sample effort was to ensure that the overall sample represents the type of land-ownerships.
“Given that the type of land-ownership on which the slums are built plays an important role affecting the socio-economic structures of the slums, our effort was to ensure that the overall sample represents the type of land-ownerships.”
Quote in the paperSubstantial claim- Rests on an assumption: The type of land-ownership on which slums are built plays an important role affecting the socio-economic structures of the slums.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ Survey Design · p. 8The sample survey used two-stage stratification to select households.
“For our sample survey, we adhered to the most common method of selecting households using twostage stratification.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ Housing: · p. 28Owning a house in slums by a slum dweller does not certainly mean that the house is built on a legally owned land by that slum dweller.
“It is worth noting that owning a house in slums by a slum dweller does not certainly mean that the house is built on a legally owned land by that slum dweller.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ Types of Slums · p. 12There are two distinct patterns of rehabilitation programme: 'displace and rehabilitate with registered leasehold' and 'in-situ rehabilitate with a delayed freehold'.
“There are two distinct patterns of rehabilitation programme pursued by the government authorities 'displace and rehabilitate with registered leasehold' and 'in-situ rehabilitate with a delayed freehold'.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone given§ Delhi · p. 18There are two critical phases in the growth of slums in Delhi: restructuring of Colonial Shahjahanabad by the British ruler, which saw the start of the process of slummification, and the post-colonial/independence era which accentuated the process.
“There are two critical phases in the growth of slums in Delhi - (i) restructuring of Colonial Shahjahanabad by the British ruler, which saw the start of the process of slummification, and (ii) post-colonial/independence era which accentuated the process.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ Types of Slums · p. 12Registered slums enjoy some legal status giving security of tenure and helping access civic facilities like water supply, electricity, and latrine-sanitation; unregistered slums are illegal, lack these services, and face threat of evacuation.
“Registered slums enjoy some legal status, conferred by the municipal authorities, that gives them some security about their tenure. It also helps them in accessing certain civic facilities like water supply, electricity connection, latrine-sanitation etc. Unregistered slums or squatters are illegal, the dwellers of these settlements are often bereft of even these minimum civic services”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ Types of Slums · p. 13People in either type of slum settlements are overpopulated and unhygienic and mostly manage their lives with inadequate amenities.
“People in either type of slum settlements - both are overpopulated and unhygienic - mostly manage their lives with inadequate amenities.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ Historical Genesis of slums · p. 13These three cities perhaps house some of the oldest slum settlements in India, and the existence of slums can be traced to the colonial period.
“Incidentally these three cities perhaps house some of the oldest slum settlements in India and the existence of slums can be traced to the colonial period.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] V Ramaswamy, 2008, Basti Redevelopment in Kolkata
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone given§ 7. Monetary Dimensions · p. 38The survey statistics may not be strictly comparable with those obtained from other major data sources, such as National Sample Surveys and other national accounts.
“but our statistics may not be strictly comparable with those obtained from other major data sources, such as those in National Sample Surveys and in other national accounts.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ Educational achievements of the adults: · p. 44The performance of Delhi slums is similar on average to that of Kolkata, but a much higher level of gender inequality exists in Delhi.
“The performance of Delhi slums is similar on average to that of Kolkata, but a much higher level of gender inequality exists in Delhi”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone given§ 7. Monetary Dimensions · p. 38The income and consumption expenditure data in the survey are comparable across the three cities and so are the statistics generated.
“Note that the income and consumption expenditure data in our survey are comparable across three cities and so are the statistics generated”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 9. Employment and Earning · p. 51Young females' LFPR is governed by many other factors such as marriage prospects and cultural barriers.
“But, young females' LFPR is governed by many other factors such as marriage prospects and cultural barriers.”
Quote in the paperNot a substantial claim- Rests on an assumption: Women are often discriminately expected to deal with domestic chores when they stop going to educational institutions and look after children when they get married.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone given§ 7. Monetary Dimensions · p. 39Rupee figures are adjusted for inter-city CPI differences for various months of survey (base: Delhi October 2014).
“Note: Rupee figures are adjusted for inter city CPI differences for various months of survey (base: Delhi October 2014)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 9. Employment and Earning · p. 51If someone continues to remain in an educational institution, his/her participation in the workforce is deferred.
“If someone continues to remain in educational institution, his/her participation in the workforce is deferred.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ 6. Migrant Status and Mutiple Material Deprivations · p. 37A significant chunk of people who migrated to Kolkata during 1971-90 were Bangladeshi refugees settled in unorganised, inappropriately planned refugee colonies scattered across the city.
“A significant chunk of people who migrated to Kolkata during 1971-90 were Bangladeshi Refugee, who were settled in many unorganised, inappropriately planned refugee colonies, scattered across the city”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ 7. Monetary Dimensions · p. 43Significantly lower sugar consumption (in quantity and expenditure) by slum dwellers in Kolkata compared to the other two cities reveals a cultural difference in food preference: in Kolkata it is more prevalent to buy sugary/dessert items from market, whereas desserts are mostly prepared at home in the other two cities.
“A significantly lower sugar consumption (in quantity and expenditure) by the slum dwellers in Kolkata compared to their counterparts in other two cities reveals an interesting cultural difference in food preference - in Kolkata it is a more prevalent practice to buy sugary/dessert items (the Sweets , made of milk) from market (expenditures on this has not been accounted for in”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
Premisecitation§ 9. Employment and Earning · p. 49Kumar and Aggarwal (2003) noted that the lower LFPR among females could be attributed to their lower levels of education resulting in a higher probability of remaining unemployed.
“Kumar and Aggarwal (2003, pp.5296) noted that the lower LFPR among females could be attributed to their lower levels of education resulting in a higher probability of remaining unemployed”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kumar and Aggarwal (2003, pp.5296)
May combine two claims.
Study design and conductown data§ 7. Monetary Dimensions · p. 39Per capita income is computed based on households reporting their incomes; income data were reported for 98.5% of households in Kolkata, 99.7% in Mumbai and Delhi JJ colonies, and 99.5% in Delhi RR colonies.
“The per capita income is computed based on the households reporting their incomes. Income data were reported for 98.5% households in Kolkata, 99.7% households in Mumbai and Delhi JJ colonies and 99.5% households in Delhi RR colonies.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ Educational achievements of the adults: · p. 44The absence of visible gender inequality in average years of schooling in Delhi is due to the fact that a majority of literate male slum dwellers have only completed more than a few years of schooling.
“This is due to the fact that a majority of literate male slum dwellers have only completed more than a few years of schooling”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 7. Monetary Dimensions · p. 39Market prices play a crucial role in determining the variation of expenditure across different items, but slum dwellers' preferences and public policies (towards PDS schemes and prices) also play a role.
“Although market prices play a crucial role in determining this variation of expenditure across different items, the role of slum dwellers' preferences and public policies (towards PDS schemes and prices) cannot be ignored.”
Quote in the paperSubstantial claim- Rests on an assumption: At the time of the survey, Delhi Government had adopted a universal PDS scheme (rice, wheat and sugar for all card types), whereas Mumbai and Kolkata were running old PDS schemes mainly directed to the BPL population.
May combine two claims.
Study design and conductown data§ 6. Migrant Status and Mutiple Material Deprivations · p. 35Tests of significance for pairwise differences in mean values were undertaken and show that intercity differences in mean deprivation scores are significant.
“We have undertaken test of significance for pairwise differences in mean values, and shows that intercity differences in mean scores of deprivation are significant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone given§ 7. Monetary Dimensions · p. 38Total household expenditure does not include education fees, clothing, water, sanitation, transport costs for students and employed persons, and food consumed outside the house.
“Total expenditure of households does not include education fees for students, the cost of clothing, water, and sanitation, the transport cost for the students and the employed persons, and the expenditure on food consumed outside of the house.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ 7. Monetary Dimensions · p. 40Higher prices of housing in Mumbai have resulted in higher rent.
“The higher prices of housing in Mumbai have resulted in higher rent.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone given§ 9. Employment and Earning · p. 50Rupee figures in the analysis are adjusted for inter-city differences in CPI for various months of survey (base: Delhi October 2014 for Industrial Workers).
“Note: Rupee figures are adjusted for inter city differences in CPI for various months of survey (base: Delhi October 2014 for Industrial Workers).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 6. Migrant Status and Mutiple Material Deprivations · p. 37The stagnation in acquiring material well-being and chronic deprivation of Kolkata slum dwellers is a classic case, drawing cues from historical facts in section 4.
“An apparent explation to this, drawing cues from the historical facts in section 4, this is a classic case of stagnancy in aquiring material welbeing and chronic deprivation that the slum dwellers of Kolkata have been facing.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationreasoning§ 7. Monetary Dimensions · p. 39The differences in PDS policies and cardholding distribution might affect the preferred consumption mix and translate into differences in overall per capita expenditure through income and substitution effects.
“This might be having an impact on the preferred consumption mix (from market and PDS) and that in turn might be translated into the differences in overall per capita expenditure (through income as well as substitution effects).”
Quote in the paperNot a substantial claim- Rests on an assumption: At the time of the survey, Delhi Government had adopted a universal PDS scheme (rice, wheat and sugar for all card types), whereas Mumbai and Kolkata were running old PDS schemes mainly directed to the BPL population.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationreasoning§ 7. Monetary Dimensions · p. 41One reason Kolkata slum dwellers may not switch to LPG is that they may be unaware of the health hazards of Kerosene use.
“One reason is that the Kolkata slum dwellers may be unaware of the health hazards of the Kerosene use”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown data§ 7. Monetary Dimensions · p. 40A possible reason for the highest electricity expenditure in Delhi's RR colonies is the much higher possession of electricity-consuming assets.
“(an apparent reason for this could be the much higher possession of electricity consuming assets, see Table 6).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 7. Monetary Dimensions · p. 41Use of Kerosene within households entails various types of health hazards.
“Even though the use of Kerosene within households entails various types of health hazards (Muller et al 2003; Pokhrel et al 2010)”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Muller et al 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Pokhrel et al 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone given§ 7. Monetary Dimensions · p. 41Another reason Kolkata slum dwellers may not switch to LPG is that access to LPG through public sources may not be straightforward and wealth-constrained, unlike in Delhi and Mumbai.
“and second is that unlike in Delhi and Mumbai, access to LPG through public sources may not be straightforward and wealth-constrained.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ 11. Discussions and Concluding Remarks · p. 53Several other differences in the composition of consumption expenditures in slums across cities purely arise from strong differences in the collective preferences of slum dwellers.
“We also observe several other differences in the composition of consumption expenditures in slums across cities that purely arise from strong differences in the collective preferences of slum dwellers.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
There are common attributes across slums worldwide and significant inter-city and intra-city differences in their characteristics.
“The slums, in general, across the world, have certain common attributes that differentiate them from other parts of urban areas as well as rural areas, however, there can also be significant 'inter-city' and 'intra-city' differences in their characteristics.”
The paper relies on this without support.
Slum dwellers are not a homogeneous group; they vary widely with respect to their shelter requirements.
“Slum dwellers are subject to marginalization by various socio-economic forces; but by no means, they are a homogenous group. They vary widely with respect to their shelter requirements.”
The paper relies on this without support.
When designing the survey, there was no uniform slum-specific dataset available for all three cities.
“It is worth mentioning that when we were designing the survey there was no uniform slum specific dataset available for all the three cities.”
The paper relies on this without support.
Census 2011 slum population data was only partially available at the aggregated level, and Census 2001 data was outdated.
“The census data for 2011 on slum population was only partially available at the aggregated level, whereas the Census data for 2001 was out dated.”
The paper relies on this without support.
Many civic bodies had already updated their databases in line with Census 2011 or through independent surveys.
“Many civic bodies have had already updated their databases either in line with Census 2011 or through independent surveys on their own in the interim period.”
The paper relies on this without support.
The type of land-ownership on which slums are built plays an important role affecting the socio-economic structures of the slums.
“Given that the type of land-ownership on which the slums are built plays an important role affecting the socio-economic structures of the slums”
The paper relies on this without support.
Resettlement colonies are generally not considered as slums by local governments and Census authorities.
“It is worth noting that the resettlement colonies are generally not considered as slums by the local governments and Census authorities.”
The paper relies on this without support.
The first type of rehabilitation is commonly pursued in Delhi until recently, whereas the second type is dominant in Mumbai.
“The first type of rehabilitation is commonly pursued in Delhi until recently, whereas the second type is dominant in Mumbai.”
The paper relies on this without support.
The three cities are 900-1250 miles away from each other.
“each city being 9001250 miles away from each other”
The paper relies on this without support.
The surveyed households are representative of the slum populations in Kolkata, Mumbai, and Delhi.
“In our survey, more than 90% household heads have identified themselves as either Hindu or Muslim and so people from other religions are in minority in slums.”
The paper relies on this without support.
The regional origin categories used in Table 1 are meaningful and comparable across the three cities.
“North-Central region consists of Uttar Pradesh, Bihar, Jharkhand and Uttarakhand; North-West region consists of Rajasthan, Haryana, Punjab, Himachal Pradesh, Jammu and Kashmir and Delhi; Central region includes Madhya Pradesh, Chhattisgarh; Western region includes Maharashtra, Gujarat, Goa, and Daman-Diu; Southern region consists of Tamil Nadu, Kerala, Karnataka, Andhra and Telengana; Eastern”
The paper relies on this without support.
The legal definitions of 'slum' in the three cities are sufficiently comparable to allow comparison of slum populations.
“Although pavement dwellings and chawls have poor slum-like conditions, these do not fall under the legal definition of 'slum'.”
The paper relies on this without support.
The statutory age requirement for admission to the first grade in most Indian states is above 5 (or 6) years.
“In India, the statutory age requirement for admission to the first grade in most states is above 5 (or 6) years.”
The paper relies on this without support.
Slums or squatters are often characterized by poorer quality housing structures compared to the rest of the city.
“Slums or squatters are often characterized by poorer quality housing structures compared to the rest of the city.”
The paper relies on this without support.
Unlike in rural areas, the competition for living spaces is more stringent in urban areas and especially in slums.
“Unlike in rural areas, the competition for living spaces is more stringent in urban areas and especially in slums.”
The paper relies on this without support.
The uses of biomass fuel and to a lesser extent the uses of Kerosene may result in various kinds of health hazards to household members.
“The uses of biomass fuel and to a lesser extent the uses of Kerosene may result in various kinds of health hazards to household members.”
The paper relies on this without support.
In urban setting, cooking outside of house or cooking within the same room used for sleeping also reflects the poorer socio-economic status of the household.
“In urban setting, cooking outside of house or cooking within the same room used for sleeping also reflects the poorer socio-economic status of the household.”
The paper relies on this without support.
At the time of the survey, Delhi Government had adopted a universal PDS scheme (rice, wheat and sugar for all card types), whereas Mumbai and Kolkata were running old PDS schemes mainly directed to the BPL population.
“At the time of the survey, Delhi Government had already adopted a universal PDS scheme (rice, wheat and sugar for all card types), whereas in Mumbai and Kolkata were running the old PDS schemes, which was mainly directed to BPL (below the poverty line) population”
The paper relies on this without support.
The Delhi Government around 2011 gradually started to stop providing kerosene through PDS and swapped all Kerosene PDS cards with LPG cylinders through a special scheme (Kerosene Free Delhi).
“It is worth noting here that the Delhi Government around 2011 gradually started to stop providing kerosene through PDS and swapped all Kerosene PDS cards with that of LPG cylinder through a special scheme (Kerosene Free Delhi).”
The paper relies on this without support.
The eight indicators selected are comparable across the three cities.
“Based on comparable cross-city indicators available in our survey, we select eight indicators, which are presented in Table 9.”
The authors state this as an assumption.
Slum dwellers in the age group of 6-21 years are potential students.
“We assume dwellers in the age group of 6-21 years as potential students”
The authors state this as an assumption.
The age of six years is the start of the first grade, and the age of 21 is when a student should be completing fifteen years of education or obtaining an undergraduate degree.
“Given that we assume the age of six years as the start of the first grade, the age of 21 is when a student should be completing fifteen years of education or obtains the undergraduate degree”
The paper relies on this without support.
The government policy of universal primary education is responsible for the high enrolment rate among the 6-11 years age group.
“Due to the government policy of universal primary education, the enrolment rate among 6-11 years age group is very high”
The paper relies on this without support.
Women are often discriminately expected to deal with domestic chores when they stop going to educational institutions and look after children when they get married.
“Women are often discriminately expected to deal with domestic chores when they stop going to educational institutions and look after children when they get married.”
The paper relies on this without support.
The collected samples are representative of the slums in the three cities.
“Based on our collected samples, we find certain slum-characteristics are common across three cities.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Kolkata government- and private-school shares are reversed
MinorThe prose assigns 55.4% of Kolkata students to private schools, but Table 14 assigns 55.4% to government institutions and 39.7% to private institutions.
“In Kolkata, nearly, 55.4% of the students attend private schools and 39.7% attend government school.”
“| Government institutions | 55.4% | 38.1% | 81.9% | 64.0% |”
Delhi JJ women's illiteracy is above, not below, half
MinorTable 12 gives a 46.6% literacy rate for women aged 25-49 in Delhi JJ clusters, implying that 53.4% are illiterate. The conclusion instead says fewer than half are illiterate in approximately that age group.
“In squatters of Delhi less than half of the adult women are illiterate in the age group of 25-50 years”
“| Female | 79.6% | 86.6% | 46.6% | 75.8% |”
Kolkata does not consume less cereal than both comparison cities
MinorTable 11 reports monthly per-capita cereal quantities of 7.71 kg in Kolkata, 7.34 kg in Mumbai and 7.50 kg in Delhi RR. Thus the claim that Kolkata consumes much less cereal than Mumbai and Delhi does not hold.
“the per capita consumptions of three grocery items - sugar, cereal and oil - in Kolkata slums are much lower than the per capita consumption of the corresponding items in Mumbai and Delhi.”
“| Cereal (Kg.) | 7.71 | 7.71 | | 7.34 | | | 7.80 | | | 7.50 | | |”
Mumbai railway timeline conflicts with the stated nineteenth-century cotton boom
MinorThe account links Mumbai's railway-associated cotton boom to the middle of the nineteenth century. Its footnote instead places the railway connection enabling that boom after the 1950s.
“Once the establishment of railways connected the cotton growing areas of the hinterland to Mumbai city after 1950s, this facilitated faster and supply of cotton to the factories in Britain.”
“Since the middle of 19 th century, the fortune of the city changed with the Cotton Boom that was associated with the establishment of railways.”
Delhi relocation-colony count changes from 15 to 16
MinorThe sampling description says there are 15 relocation sites, while the later account gives 16 relocation colonies.
“47 resettlement colonies and 15 relocation sites are spread across seven of the eleven districts.”
“There are total 47 resettlement colonies spread over 7 revenue districts housing about 1.1 million population and 16 relocation colonies spread over 5 revenue districts housing about 300 thousands population.”
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Insecurity as confinement: The entrenched politics of staying put in Delhi and Mumbai
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Modeling of Air Quality near Indian Informal Settlements Where Limited Local Monitoring Data Exist
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Why Party Worker Networks Spread Unevenly Across Settlements
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.007
Other Books in the Series (continued from page iii)
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.013
Party Workers and Public Goods Provision
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.006
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.005
How Party Worker Networks Impact Local Development
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.003
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.011
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.010
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.002
Auerbach, A. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649377.012
Vaid, U. G., & Jiang, W. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22121817
Male engagement in menstrual care: evidence from boys and young men in urban slums in Mumbai
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Majumdar, P., Jejeebhoy, S. J., & Chattopadhyay, A. (2026) · Culture Health & Sexuality · doi:10.1080/13691058.2026.2641520
- Authors
- Bag, S., Seth, S., & Gupta, A.
- Affiliations
- University of Delhi (IN)
- University of Leeds (GB)
- Corresponding author
- Bag, Sugata
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2016
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2265533567
- Semantic Scholar
- b253d6caeb1f001995bba0c6a6cd64d65516940d
- Cited by
- 36
- References
- 15
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2 · 2021: 2 · 2020: 7 · 2019: 15 · 2017: 5
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion, public-domain)
- RePEc: Research Papers in Economics (submittedVersion)
- Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine) (submittedVersion, cc-by-sa)
- Funders
- European Commission
- University of Bath
- Topics
- Social Sciences › Urban Studies › Urban and Rural Development Challenges
- Social Sciences › Urban Studies › Latin American Urban Studies
- Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
- Keywords
- urban slums, living conditions, urban poverty, household size, housing quality, female labour force participation, school enrolment, migration patterns, sanitation access, drinking water access, adult literacy, subjective well-being, consumption patterns, Mumbai, Delhi, Kolkata, Metro City, urban policy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-03.
Statistics and arithmetic are recomputed, not judged.
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