Debt, Investment, and Asset Analysis
The dataset captures the details of debt, investment, and related aspects of households across different states in India. It provides a comprehensive look into the financial expenditure and commitments of households, primarily focusing on capital investments and indebtedness.
Data Dictionary
- ID
- id
- Typ
- int4
- Etikett
- index
- ID
- year
- Typ
- text
- Etikett
- Year
- ID
- state_name
- Typ
- text
- Etikett
- State
- ID
- state_code
- Typ
- text
- Etikett
- State code
- ID
- sector
- Typ
- text
- Etikett
- States accroding to rural and urban sector
- ID
- occupation
- Typ
- text
- Etikett
- Occupation of Rural and Urban Households
- ID
- no_of_hh
- Typ
- numeric
- Etikett
- Estimated Number of Households
- ID
- fxd_cap_exp
- Typ
- numeric
- Etikett
- Fixed Capital Expenditure
- ID
- hh_reporting_fxd_cap_exp
- Typ
- numeric
- Etikett
- Estiamted Number of Households Reporting Fixed Capital Expenditure
- ID
- land_purchase_exp
- Typ
- numeric
- Etikett
- Expenditure on Purchase of Land
- ID
- hh_reporting_land_purchase
- Typ
- numeric
- Etikett
- Estiamted Number of households purchasing Land
- ID
- avg_value_assets
- Typ
- numeric
- Etikett
- Average Value of Assets
- ID
- avg_amount_of_debt
- Typ
- numeric
- Etikett
- Average Amount of Debt per Households
- ID
- incidence_of_indebtedness
- Typ
- numeric
- Etikett
- Incidence of Indebtedness
- ID
- debt_asset_ratio
- Typ
- numeric
- Etikett
- Debt-Asset Ratio
Mer information
| Fält | Värde |
|---|---|
| Data senast uppdaterad | 30 september 2024 |
| Metadata senast uppdaterad | 19 december 2025 |
| Skapad | 9 oktober 2023 |
| Format | CSV |
| Licens | Open Data Commons Attribution License |
| Additional info | NSS Report 579 : Household Capital Expenditure , Page 55-60 | NSS Report 570 : Household Assets and Liability , Page 56-59 |
| Data extraction page | https://www.mospi.gov.in/sites/default/files/publication_reports/NSS_579_7mar17.pdf |
| Data insights | 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. |
| Data last updated | 2 013 |
| Data retreival date | 2 013 |
| Datastore active | True |
| Frequency | Other |
| Geo columns | ['state_code'] |
| Granularity | State |
| Has views | True |
| Id | 8dd3dbd7-0acc-4005-9080-ee1523401aad |
| Idp ready | True |
| Lgd mapping | yes |
| 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. |
| Mimetype | text/csv |
| No indicators | 9 |
| Package id | 4b887a1e-43d9-48f7-84c6-558eae780115 |
| Position | 0 |
| Size | 35 KiB |
| Sku | nsso-debt_investment-st-ot-abc |
| State | active |
| States uts no | 36 |
| Tags | ['Debt', 'Investment', 'NSSO', 'India', 'State-wise data', 'Rural-Urban divide', 'Financial health', 'Capital expenditure', 'Indebtedness', 'Land purchase', 'Occupation'] |
| Url type | upload |
| Years covered | 2 013 |
| 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 | |
| Mer 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 |
| Mapping Status % | |
| Geo Columns | ['state_code'] |