| Data last updated |
June 5, 2024 |
| Metadata last updated |
June 5, 2024 |
| Created |
unknown |
| Format |
CSV |
| License |
No License Provided
|
| Created | 4 months ago |
|---|
| Frequency | Decadal |
|---|
| Size | 29,611 |
|---|
| Additional info | nan |
|---|
| 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 | The Census PCA Demography - States dataset for Meghalaya offers valuable data insights. It allows for an analysis of the demographic distribution, gender disparity in working status, occupation, and literacy. Additionally, policymakers can use this data to evaluate employment rates and trends in popular occupations across rural and urban areas, and investigate the relationship between literacy levels and employment. Furthermore, this dataset sheds light on social group dynamics and their impact on employment, literacy, and demographic trends. |
|---|
| Data last updated | 2,011 |
|---|
| Data retreival date | 6/23/2022 |
|---|
| Datastore active | True |
|---|
| Granularity | Village |
|---|
| Has views | True |
|---|
| Id | 0998cacb-0ef1-4786-87f9-824380cd1a82 |
|---|
| Idp ready | True |
|---|
| Methodology | The data is sourced directly from the official Census India website. The Census of India follows a decennial pattern, collecting detailed demographic and occupational data from households across different states. Enumerators are trained and employed to gather this data, ensuring accuracy and comprehensive coverage. Once the raw data is obtained, it's processed and classified into categories like main workers, marginal workers, etc., before being made available to the public. |
|---|
| No indicators | 1 |
|---|
| Package id | ef726171-b797-44a5-a2d5-3a1eef1a044f |
|---|
| Position | 1 |
|---|
| Sku | moha-census_pca_demography-st-dc-meg |
|---|
| State | active |
|---|
| States uts no | 1 |
|---|
| Url type | upload |
|---|
| Years covered | 2,011 |
|---|
| Methodology |
The data is sourced directly from the official Census India website. The Census of India follows a decennial pattern, collecting detailed demographic and occupational data from households across different states. Enumerators are trained and employed to gather this data, ensuring accuracy and comprehensive coverage. Once the raw data is obtained, it's processed and classified into categories like main workers, marginal workers, etc., before being made available to the public. |
| Similar Resources |
|
| Granularity Level |
Village |
| 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-st-dc-meg |
| Dataset Frequency |
|
| Years Covered |
2011 |
| No of States/UT(s) |
1 |
| No of Districts |
|
| No of Tehsils/blocks |
|
| No of Gram Panchayats |
|
| Additional Information |
nan |
| Number of Indicators |
1 |
| Insights from the dataset |
The Census PCA Demography - States dataset for Meghalaya offers valuable data insights. It allows for an analysis of the demographic distribution, gender disparity in working status, occupation, and literacy. Additionally, policymakers can use this data to evaluate employment rates and trends in popular occupations across rural and urban areas, and investigate the relationship between literacy levels and employment. Furthermore, this dataset sheds light on social group dynamics and their impact on employment, literacy, and demographic trends. |
| IDP Ready |
Yes |