Data Dictionary

Column	Type	Label	Description
id	int4	index
year	text	Years
state_name	text	State Name
state_code	text	State code
factories	numeric	Number of Factories
fixed_capital	numeric	Fixed capital of Industries
productive_capital	numeric	Productive capital is the total of fixed capital and working capital.
invested_capital	numeric	Invested capital is the total of Fixed capital and Physical working capital.
workers	numeric	Number of Workers
total_persons_engages	numeric	Number of Total Persons Engaged
wages_to_wages	numeric	Wages and Salaries paid to the workers
total_emoluments	numeric	Emoluments paid to the workers.
total_input	numeric	The total amount of money it costs the business to produce and distribute its products.
total_output	numeric	Total Output comprises total ex-factory value of products and by-products manufactured as well as other receipt
depriciation	numeric	Depreciation Cost
net_value_added	numeric	Net value added is arrived by deducting total input and depreciation from total output.
rent_paid	numeric	Rent Paid
interest_paid	numeric	Interest Paid

Additional Information

Field	Value
Data last updated	June 24, 2024
Metadata last updated	June 25, 2024
Created	June 24, 2024
Format	CSV
License	Open Data Commons Attribution License
Additional info	nan
Data extraction page	Annual Survey Of Industries Reprt Table 4: Estimate of some important characteristics by State
Data insights	Data insights that can be drawn:Trend Analysis: Observing growth or decline of industries by analyzing factors like number of factories, fixed capital, productive capital, etc., over different years.State-wise Analysis: Comparing economic performance, scale of operations, or industrial health across state.Productivity Assessment: Comparing 'Net value added' against the 'Number of workers' or 'Total persons engaged' to gauge productivity.Financial Health: Insight into the profitability of industries by comparing 'Total output' with 'Total input', and taking into account factors like 'Depreciation', 'Rent Paid', and 'Interest Paid'.Workforce Analysis: Understanding the remuneration structures by comparing 'Wages to wages' with 'Total emoluments'.Cost Analysis: Breaking down the operational costs by evaluating 'Fixed capital', 'Productive capital', 'Invested capital', and more.
Data last updated	2019-20
Data retreival date	2023-10-07 00:00:00
Datastore active	True
Frequency	Yearly
Granularity	State
Has views	True
Id	4d00ef5a-866b-47c6-97df-025c4ff5660a
Idp ready	True
Methodology	This dataset is presumably collated from annual surveys conducted by the relevant governmental or regulatory bodies. These surveys usually target factories and industries in various states to collect information on their operations, finances, workforce, and more. Data is gathered either through direct reporting by industries, field visits, or electronic means. Once collected, the data is cleansed, standardized, and tabulated state-wise for different years.
No indicators	14
Package id	5c0bdba0-9382-4a7d-a2d5-1724ecc2fd1c
Position	0
Size	1.7 KiB
Sku	mospi-asi_economic_charcteristics-st-yr-him
State	active
States uts no	1
Url type	upload
Years covered	2011-2020
Methodology	This dataset is presumably collated from annual surveys conducted by the relevant governmental or regulatory bodies. These surveys usually target factories and industries in various states to collect information on their operations, finances, workforce, and more. Data is gathered either through direct reporting by industries, field visits, or electronic means. Once collected, the data is cleansed, standardized, and tabulated state-wise for different years.
Similar Resources
Granularity Level	State
Data Extraction Page	Annual Survey Of Industries Reprt Table 4: Estimate of some important characteristics by State
Data Retreival Date	2023-10-07 00:00:00
Data Last Updated	2019-20
Sku	mospi-asi_economic_charcteristics-st-yr-him
Dataset Frequency	Yearly
Years Covered	2011-2020
No of States/UT(s)	1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	nan
Number of Indicators	14
Insights from the dataset	Data insights that can be drawn:Trend Analysis: Observing growth or decline of industries by analyzing factors like number of factories, fixed capital, productive capital, etc., over different years.State-wise Analysis: Comparing economic performance, scale of operations, or industrial health across state.Productivity Assessment: Comparing 'Net value added' against the 'Number of workers' or 'Total persons engaged' to gauge productivity.Financial Health: Insight into the profitability of industries by comparing 'Total output' with 'Total input', and taking into account factors like 'Depreciation', 'Rent Paid', and 'Interest Paid'.Workforce Analysis: Understanding the remuneration structures by comparing 'Wages to wages' with 'Total emoluments'.Cost Analysis: Breaking down the operational costs by evaluating 'Fixed capital', 'Productive capital', 'Invested capital', and more.
IDP Ready	Yes