其他信息

域	价值
Data last updated	2024年6月5日
Metadata last updated	2024年12月3日
创建的	未知
格式	CSV
授权	没有指定授权
Frequency	Decadal
Media type	text/csv
Size	991,433
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 - Subdistricts dataset for Meghalaya offers valuable data insights including: 1. Analysis of age and gender distribution across states, districts, and sub-districts, revealing the demographic composition of the working population. 2. Differentiating between urban and rural areas based on the 'rural_urban' column, providing insights into workforce dynamics in these regions. 3. Socio-economic understanding through analysis of literacy rates and affiliation to social groups, shedding light on the working population's socio-economic conditions in different regions. 4. Identification of primary sources of employment in various regions by studying the 'occupation' column. 5. Classification of workers into main workers, marginal workers, and non-workers across regions based on the 'worker_type' and 'working_status' columns, offering insights into workforce characteristics.
Data last updated	2,011
Data retreival date	6/23/2022
Datastore active	False
District no	11
Granularity	Village
Has views	True
Id	53bfc992-1239-4120-b16f-4719b70aab93
Idp ready	False
Methodology	The data has been collected by the official Census body of India, adhering to standardized census-taking methods and practices. Given the scope of the dataset (spanning across states, districts, and sub-districts), there's a multi-tiered approach in data collection, which is then categorized by various parameters such as rural or urban setting, age, gender, etc. The methodology ensures a thorough representation of the diverse Indian population and its workforce.
No indicators	1
Package id	ef726171-b797-44a5-a2d5-3a1eef1a044f
Position	2
Sku	moha-census_pca_demography-sd-dc-meg
State	active
States uts no	1
Url type	upload
Years covered	2,011
创建的	1年前
Methodology	The data has been collected by the official Census body of India, adhering to standardized census-taking methods and practices. Given the scope of the dataset (spanning across states, districts, and sub-districts), there's a multi-tiered approach in data collection, which is then categorized by various parameters such as rural or urban setting, age, gender, etc. The methodology ensures a thorough representation of the diverse Indian population and its workforce.
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-sd-dc-meg
Dataset Frequency
Years Covered	2011.0
No of States/UT(s)	1
No of Districts	11
No of Tehsils/blocks
No of Gram Panchayats
其他信息	nan
Number of Indicators	1
Insights from the dataset	The Census PCA Demography - Subdistricts dataset for Meghalaya offers valuable data insights including: 1. Analysis of age and gender distribution across states, districts, and sub-districts, revealing the demographic composition of the working population. 2. Differentiating between urban and rural areas based on the 'rural_urban' column, providing insights into workforce dynamics in these regions. 3. Socio-economic understanding through analysis of literacy rates and affiliation to social groups, shedding light on the working population's socio-economic conditions in different regions. 4. Identification of primary sources of employment in various regions by studying the 'occupation' column. 5. Classification of workers into main workers, marginal workers, and non-workers across regions based on the 'worker_type' and 'working_status' columns, offering insights into workforce characteristics.
IDP Ready	No