Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State

ID
state_code
Type
text
Label
State code

ID
sector
Type
text
Label
States accroding to rural and urban sector

ID
occupation
Type
text
Label
Occupation of Rural and Urban Households

ID
no_of_hh
Type
numeric
Label
Estimated Number of Households

ID
fxd_cap_exp
Type
numeric
Label
Fixed Capital Expenditure

ID
hh_reporting_fxd_cap_exp
Type
numeric
Label
Estiamted Number of Households Reporting Fixed Capital Expenditure

ID
land_purchase_exp
Type
numeric
Label
Expenditure on Purchase of Land

ID
hh_reporting_land_purchase
Type
numeric
Label
Estiamted Number of households purchasing Land

ID
avg_value_assets
Type
numeric
Label
Average Value of Assets

ID
avg_amount_of_debt
Type
numeric
Label
Average Amount of Debt per Households

ID
incidence_of_indebtedness
Type
numeric
Label
Incidence of Indebtedness

ID
debt_asset_ratio
Type
numeric
Label
Debt-Asset Ratio

Additional Information

Field Value
Data last updated September 30, 2024
Metadata last updated September 30, 2024
Created October 9, 2023
Format CSV
License Open Data Commons Attribution License
Additional infoNSS Report 579 : Household Capital Expenditure , Page 55-60 | NSS Report 570 : Household Assets and Liability , Page 56-59
Data extraction pagehttps://www.mospi.gov.in/sites/default/files/publication_reports/NSS_579_7mar17.pdf
Data insightsFrom the dataset, the following insights can be drawn: Yearly Variation: One can understand the changes in debt, investment, and other financial indicators on a year-by-year basis. State-wise Analysis: Analyzing the debt and investment patterns of different states and understanding which states have higher investments or debts. Rural vs. Urban: A comparative study between rural and urban areas in terms of their investment behaviors, debt amounts, and incidence of indebtedness. Debt-Asset Health: By examining the debt-asset ratio, one can gauge the financial health of households in different regions and across different occupations. Land Purchase Trends: Insights into the frequency and amount of land purchases by households can be gleaned. Occupation Impact: Studying the influence of occupation types on household investments and debts.
Data last updated2,013
Data retreival date2,013
Datastore activeTrue
FrequencyOther
GranularityState
Has viewsTrue
Id8dd3dbd7-0acc-4005-9080-ee1523401aad
Idp readyTrue
Lgd mappingyes
MethodologyThe data has been collected through the National Sample Survey Office (NSSO) which operates under the Ministry of Statistics and Program Implementation in India. NSSO has a robust methodology that includes multi-stage stratified random sampling for data collection.The dataset seems to be annual based on the presence of the 'year' variable, but the exact frequency needs to be verified from the source. The dataset covers various states in India, with records segregated based on rural and urban sectors.
Mimetypetext/csv
No indicators9
Package id4b887a1e-43d9-48f7-84c6-558eae780115
Position0
Size35 KiB
Skunsso-debt_investment-st-ot-abc
Stateactive
States uts no36
Tags['Debt', 'Investment', 'NSSO', 'India', 'State-wise data', 'Rural-Urban divide', 'Financial health', 'Capital expenditure', 'Indebtedness', 'Land purchase', 'Occupation']
Url typeupload
Years covered2,013
Methodology The data has been collected through the National Sample Survey Office (NSSO) which operates under the Ministry of Statistics and Program Implementation in India. NSSO has a robust methodology that includes multi-stage stratified random sampling for data collection.The dataset seems to be annual based on the presence of the 'year' variable, but the exact frequency needs to be verified from the source. The dataset covers various states in India, with records segregated based on rural and urban sectors.
Indicators
Similar Resources
Granularity Level State
Data Extraction Page https://www.mospi.gov.in/sites/default/files/publication_reports/NSS_579_7mar17.pdf
Data Retreival Date 2013
Data Last Updated 2013
Sku nsso-debt_investment-st-ot-abc
Dataset Frequency Other
Years Covered 2013
No of States/UT(s) 36
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information NSS Report 579 : Household Capital Expenditure , Page 55-60 | NSS Report 570 : Household Assets and Liability , Page 56-59
Number of Indicators 9
Insights from the dataset From the dataset, the following insights can be drawn: Yearly Variation: One can understand the changes in debt, investment, and other financial indicators on a year-by-year basis. State-wise Analysis: Analyzing the debt and investment patterns of different states and understanding which states have higher investments or debts. Rural vs. Urban: A comparative study between rural and urban areas in terms of their investment behaviors, debt amounts, and incidence of indebtedness. Debt-Asset Health: By examining the debt-asset ratio, one can gauge the financial health of households in different regions and across different occupations. Land Purchase Trends: Insights into the frequency and amount of land purchases by households can be gleaned. Occupation Impact: Studying the influence of occupation types on household investments and debts.
IDP Ready Yes
LGD Mapping Yes