Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Years

ID
state_name
Type
text
Label
Name of States

ID
state_code
Type
text
Label
State code

ID
factories
Type
numeric
Label
Number of Factories

ID
fixed_capital
Type
numeric
Label
Fixed capital of Industries

ID
productive_capital
Type
numeric
Label
Productive capital is the total of fixed capital and working capital.

ID
invested_capital
Type
numeric
Label
Invested capital is the total of Fixed capital and Physical working capital.

ID
workers
Type
numeric
Label
Number of Workers

ID
total_persons_engages
Type
numeric
Label
Number of Total Persons Engaged

ID
wages_to_wages
Type
numeric
Label
Wages and Salaries paid to the workers

ID
total_emoluments
Type
numeric
Label
Emoluments paid to the workers.

ID
total_input
Type
numeric
Label
The total amount of money it costs the business to produce and distribute its products.

ID
total_output
Type
numeric
Label
Total Output comprises total ex-factory value of products and by-products manufactured as well as other receipt

ID
depriciation
Type
numeric
Label
Depreciation Cost

ID
net_value_added
Type
numeric
Label
Net value added is arrived by deducting total input and depreciation from total output.

ID
rent_paid
Type
numeric
Label
Rent Paid

ID
interest_paid
Type
numeric
Label
Interest Paid

Additional Information

Field Value
Data last updated April 10, 2024
Metadata last updated August 22, 2024
Created October 7, 2023
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pageAnnual Survey Of Industries Reprt Table 4: Estimate of some important characteristics by State
Data insightsData 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 states. 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 updated2019-20
Data retreival date2023-10-07 00:00:00
Datastore activeTrue
FrequencyYearly
GranularityState
Has viewsTrue
Id2d35e116-0b5e-4913-b269-cde9f7aea3f5
Idp readyTrue
Lgd mappingyes
MethodologyThis 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.
Mimetypetext/csv
No indicators14
Package idc9094d6a-069f-479d-a6f0-d26412474139
Position0
Size48.7 KiB
Skumospi-asi_economic_charcteristics-st-yr-aaa
Stateactive
States uts no36
Tags['Industrial Survey', 'Economic Metrics', 'Financial Health', 'Workforce Analysis', 'Productivity', 'Depreciation Analysis', 'Cost Analysis', 'Industry Trends']
Url typeupload
Years covered2011-2020
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.
Indicators
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-aaa
Dataset Frequency Yearly
Years Covered 2011-2020
No of States/UT(s) 36
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 states. 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
LGD Mapping Yes