Census PCA Demography - Districts
The "Census PCA Demography - Districts" dataset provides a comprehensive overview of the demography of India at the district level. The data, sourced from the official Census India website, specifically highlights the working status of the population, categorizing them as main workers, marginal workers, non-workers, and those marginal workers/non-workers seeking or available for work. It further classifies this information by various criteria such as age, gender, literacy, social group, and occupation.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- year
- Type
- text
- Label
- Year
- ID
- state_name
- Type
- text
- Label
- State Name
- ID
- state_code
- Type
- text
- Label
- State Code
- ID
- district_name
- Type
- text
- Label
- District Name
- ID
- district_code
- Type
- text
- Label
- District Code
- ID
- rural_urban
- Type
- text
- Label
- Type of Area
- ID
- level
- Type
- text
- Label
- Level
- ID
- gender
- Type
- text
- Label
- Gender
- ID
- age
- Type
- text
- Label
- Age
- ID
- social_group
- Type
- text
- Label
- Social Group
- ID
- literacy
- Type
- text
- Label
- Literacy
- ID
- working_status
- Type
- text
- Label
- Working Status
- ID
- worker_type
- Type
- text
- Label
- Worker Type
- ID
- occupation
- Type
- text
- Label
- Occupation
- ID
- population
- Type
- numeric
- Label
- Population
Additional Information
| Field | Value |
|---|---|
| Data last updated | October 16, 2023 |
| Metadata last updated | August 22, 2024 |
| Created | October 16, 2023 |
| Format | CSV |
| License | No License Provided |
| Data extraction page | B-01: Main workers, marginal workers, non-workers and those marginal workers, non-workers seeking/available for work classified by age and sex |
| Data insights | Data Insights that can be drawn:Regional Differences: By examining the data across different states and districts, one can discern patterns related to employment and demographics, possibly highlighting more prosperous regions versus those requiring more developmental attention.Gender Dynamics: The dataset classifies information by gender, enabling insights into gender disparities in employment, literacy, and other socio-economic factors.Literacy & Employment: The relationship between literacy levels and types of occupation or employment status can be explored.Social Group Insights: The categorization by social group might shed light on societal structures, possibly indicating which groups might be more marginalized in terms of employment and educational opportunities.Age Dynamics: The classification by age can be used to understand the age structure of workers in different occupations, providing insights into youth employment, elderly participation, and more. |
| Data last updated | 2,011 |
| Data retreival date | 6/23/2022 |
| Datastore active | True |
| District no | 729 |
| Frequency | Decadal |
| Granularity | District |
| Has views | True |
| Id | efefb405-bd30-4041-bd36-5e6b0d9432ff |
| Idp ready | True |
| Lgd mapping | yes |
| Methodology | The data is collected as part of the national census conducted by the Government of India. Enumerators are trained and deployed across the country to gather detailed demographic information at the household level, which is then aggregated and reported at various administrative divisions, including at the district level. This particular dataset focuses on the working dynamics of the population, capturing the intricacies of employment, unemployment, and the nature of jobs people are engaged in. |
| No indicators | 1 |
| Package id | 2a41af7b-7922-4d8f-83c9-d5ebcb8a5f54 |
| Position | 1 |
| Size | 23.4 MiB |
| Sku | moha-census_pca_demography-dt-dc-abc |
| State | active |
| States uts no | 36 |
| Url type | upload |
| Years covered | 2,011 |
| Methodology | The data is collected as part of the national census conducted by the Government of India. Enumerators are trained and deployed across the country to gather detailed demographic information at the household level, which is then aggregated and reported at various administrative divisions, including at the district level. This particular dataset focuses on the working dynamics of the population, capturing the intricacies of employment, unemployment, and the nature of jobs people are engaged in. |
| Indicators | |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | B-01: Main workers, marginal workers, non-workers and those marginal workers, non-workers seeking/available for work classified by age and sex |
| Data Retreival Date | 6/23/2022 |
| Data Last Updated | 2011 |
| Sku | moha-census_pca_demography-dt-dc-abc |
| Dataset Frequency | Decadal |
| Years Covered | 2011.0 |
| No of States/UT(s) | 36 |
| No of Districts | 729 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | |
| Number of Indicators | 1 |
| Insights from the dataset | Data Insights that can be drawn:Regional Differences: By examining the data across different states and districts, one can discern patterns related to employment and demographics, possibly highlighting more prosperous regions versus those requiring more developmental attention.Gender Dynamics: The dataset classifies information by gender, enabling insights into gender disparities in employment, literacy, and other socio-economic factors.Literacy & Employment: The relationship between literacy levels and types of occupation or employment status can be explored.Social Group Insights: The categorization by social group might shed light on societal structures, possibly indicating which groups might be more marginalized in terms of employment and educational opportunities.Age Dynamics: The classification by age can be used to understand the age structure of workers in different occupations, providing insights into youth employment, elderly participation, and more. |
| IDP Ready | Yes |
| LGD Mapping | Yes |