Data Dictionary

Additional Information

Field	Value
Data last updated	April 10, 2024
Metadata last updated	August 22, 2024
Created	October 9, 2023
Format	CSV
License	Open Data Commons Attribution License
Additional info	nan
Data extraction page	https://mospi.gov.in/sites/default/files/publication_reports/NSS_581.pdf , http://www.mospi.gov.in/sites/default/files/publication_reports/NSS_report%20582_73rd_round_10aug18.pdf
Data insights	Data Insights that can be drawn :Distribution and performance of enterprises across different states and sectors (rural/urban).The role of Micro, Small, and Medium Enterprises (MSMEs) in the overall landscape.Gender-wise employment statistics.Insights into the contribution of various enterprise types to Gross Value Added (GVA).Ownership structures and their distribution.Challenges and problems faced by these enterprises, from power cuts to the availability of raw materials and skilled labor.Registration status of enterprises and the regulatory acts/agencies they are associated with.Social group classification of enterprise owners or major partners.
Data last updated	2015-16
Data retreival date	July 2015 to June 2016
Datastore active	True
Frequency	Other
Granularity	State
Has views	True
Id	0dcc1adf-e45c-4eab-8d20-348a17b5370e
Idp ready	True
Lgd mapping	yes
Methodology	Data for this dataset is most likely collected through surveys conducted across different states, covering both rural and urban sectors. Given that this dataset originates from a government source, the data collection and its subsequent organization would adhere to the standard methodologies adopted by the NSSO (National Sample Survey Office) for conducting large-scale surveys.
No indicators	89
Package id	9c19621e-0234-497b-b0d5-e4f57a8a2034
Position	0
Size	679.8 KiB
Sku	mospi-non_agri_enterprise-st-ot-abc
State	active
States uts no	36
Url type	upload
Years covered	2,016
Methodology	Data for this dataset is most likely collected through surveys conducted across different states, covering both rural and urban sectors. Given that this dataset originates from a government source, the data collection and its subsequent organization would adhere to the standard methodologies adopted by the NSSO (National Sample Survey Office) for conducting large-scale surveys.
Indicators
Similar Resources
Granularity Level	State
Data Extraction Page	https://mospi.gov.in/sites/default/files/publication_reports/NSS_581.pdf , http://www.mospi.gov.in/sites/default/files/publication_reports/NSS_report%20582_73rd_round_10aug18.pdf
Data Retreival Date	July 2015 to June 2016
Data Last Updated	2015-16
Sku	mospi-non_agri_enterprise-st-ot-abc
Dataset Frequency	Other
Years Covered	2016
No of States/UT(s)	36
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	nan
Number of Indicators	89
Insights from the dataset	Data Insights that can be drawn :Distribution and performance of enterprises across different states and sectors (rural/urban).The role of Micro, Small, and Medium Enterprises (MSMEs) in the overall landscape.Gender-wise employment statistics.Insights into the contribution of various enterprise types to Gross Value Added (GVA).Ownership structures and their distribution.Challenges and problems faced by these enterprises, from power cuts to the availability of raw materials and skilled labor.Registration status of enterprises and the regulatory acts/agencies they are associated with.Social group classification of enterprise owners or major partners.
IDP Ready	Yes
LGD Mapping	Yes