Consumer Price Index for Industrial Workers in...
The dataset provides information on the Consumer Price Index (CPI) for Industrial Workers in Himachal Pradesh for the years 2019 to 2021. The CPI is a measure of the average change over time in the prices paid by consumers for a basket of goods and services. This particular dataset focuses on the CPI for Industrial Workers, which includes employees engaged in the organized sector and working in factories, mines, plantations, ports, and other industrial establishments.
Data Dictionary
Column | Type | Label | Description |
---|---|---|---|
id | numeric | index | |
year | text | Year | |
general | numeric | General | |
food | numeric | Food | |
fuel_&_lighting | numeric | Fuel & Lighting | |
housing | numeric | Housing | |
clothing_bedding_&_footwear | numeric | Clothing Bedding & Footwear | |
misc. | numeric | Misc. | |
pan_supari_&_tobacco | numeric | Pan Supari & Tobacco |
Additional Information
Field | Value |
---|---|
Data last updated | May 11, 2023 |
Metadata last updated | May 11, 2023 |
Created | May 9, 2023 |
Format | CSV |
License | Open Data Commons Attribution License |
Additional info | The Consumer Price Index for Industrial Workers (CPI-IW) is an important economic indicator that measures the changes in the cost of living of industrial workers in India. It is calculated by the Labour Bureau, which is a wing of the Ministry of Labour and Employment, Government of India. The CPI-IW for Himachal Pradesh is based on a basket of goods and services consumed by industrial workers, including food, fuel and lighting, housing, clothing, bedding and footwear, miscellaneous items, and pan supari and tobacco. The index is calculated on a monthly basis and reflects the changes in the prices of these items over time. The data provided in the dataset is for the years 2019, 2020, and 2021, and it shows the index value for each year as well as the index values for different categories of goods and services. The dataset can be used by policymakers, economists, social scientists, and researchers to analyze the trends in the cost of living for industrial workers in Himachal Pradesh and to make informed decisions based on the insights derived from the data. |
Data last updated | 2,021 |
Data retreival date | 2,023 |
Datastore active | True |
Frequency | Yearly |
Granularity | State |
Has views | True |
Id | 09900433-10ba-448c-a1a3-73ef843c1cc3 |
Idp ready | True |
Mimetype | text/csv |
No indicators | 7 |
Package id | c10702f4-11fd-42ed-a3ae-e9e65d970054 |
Position | 0 |
Size | 211 bytes |
State | active |
States uts no | 1 |
Url type | upload |
Years covered | 2019 to Upto 2021 |
Methodology | |
Similar Resources | |
Granularity Level | State |
Data Extraction Page | |
Data Retreival Date | 2023 |
Data Last Updated | 2021 |
Sku | |
Dataset Frequency | Yearly |
Years Covered | 2019 to Upto 2021 |
No of States/UT(s) | 1 |
No of Districts | |
No of Tehsils/blocks | |
No of Gram Panchayats | |
Additional Information | The Consumer Price Index for Industrial Workers (CPI-IW) is an important economic indicator that measures the changes in the cost of living of industrial workers in India. It is calculated by the Labour Bureau, which is a wing of the Ministry of Labour and Employment, Government of India. The CPI-IW for Himachal Pradesh is based on a basket of goods and services consumed by industrial workers, including food, fuel and lighting, housing, clothing, bedding and footwear, miscellaneous items, and pan supari and tobacco. The index is calculated on a monthly basis and reflects the changes in the prices of these items over time. The data provided in the dataset is for the years 2019, 2020, and 2021, and it shows the index value for each year as well as the index values for different categories of goods and services. The dataset can be used by policymakers, economists, social scientists, and researchers to analyze the trends in the cost of living for industrial workers in Himachal Pradesh and to make informed decisions based on the insights derived from the data. |
Number of Indicators | 7 |
Insights from the dataset | |
IDP Ready | Yes |