Agricultural Wages
The Agricultural Wages data for Himachal Pradesh, provided by the Ministry of Agriculture, Government of India, details the average daily wages paid to agricultural laborers within the state. This comprehensive dataset covers various types of agricultural work including ploughing, sowing, harvesting, and threshing. The information is meticulously broken down by district, allowing for localized insights. The dataset includes monthly updates on the minimum wages set by the government for different types of agricultural work, ensuring an up-to-date reference for wage standards across Himachal Pradesh.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| month | date | Month | |
| state_name | text | State Name | |
| state_code | text | State Code | |
| district_name | text | District Name | |
| district_code | text | District Code | |
| center_name | text | Center Name | |
| center_code | text | Center code | |
| center_lat | numeric | Latitude of center | |
| center_long | numeric | Longitude of center | |
| labour_category | text | Category of labour | |
| labour_type | text | Labour work engaged in | |
| gender | text | Gender of Labour | |
| monthly_average_wage | numeric | Average monthly wage | |
| annual_average_wage | numeric | Annual average wage |
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 | https://eands.dacnet.nic.in/AWIS.html |
| Data insights | For government employees and policymakers, the Agricultural wages data can provide insights into the economic conditions of the agricultural sector and help in the formulation of policies related to labor welfare, minimum wages, and rural development. Social scientists can use the data to study the trends in agricultural labor wages over time and across different regions, and to analyze the impact of government policies on the livelihoods of agricultural workers. Media houses and newsrooms can use the data to report on issues related to agricultural labor and to highlight any disparities in wages across different regions and types of work. |
| Data last updated | 2022-06-01 00:00:00 |
| Data retreival date | 2021-12-13 00:00:00 |
| Datastore active | True |
| District no | 12 |
| Frequency | Monthly |
| Granularity | District |
| Has views | True |
| Id | c27d9342-c11d-42ae-96cd-2008f5717c46 |
| Idp ready | True |
| Methodology | Data is colllected from the village level and is compiled at district, state and national levels by the Directorate of Economics and Statistics, Ministry of Agriculture & Farmers Welfare. The work of collection, compilation and presentation of wage data carried out by the Officers and Staff of Agricultural Wages Division. |
| No indicators | 2 |
| Package id | d6ec484f-b996-43c7-a27b-e896cf7bd1a3 |
| Position | 0 |
| Size | 3.2 MiB |
| Sku | moafw-agricultural_wages-ol-mn-him |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2010-2020 |
| Methodology | Data is colllected from the village level and is compiled at district, state and national levels by the Directorate of Economics and Statistics, Ministry of Agriculture & Farmers Welfare. The work of collection, compilation and presentation of wage data carried out by the Officers and Staff of Agricultural Wages Division. |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://eands.dacnet.nic.in/AWIS.html |
| Data Retreival Date | 2021-12-13 00:00:00 |
| Data Last Updated | 2022-06-01 00:00:00 |
| Sku | moafw-agricultural_wages-ol-mn-him |
| Dataset Frequency | Monthly |
| Years Covered | 2010-2020 |
| No of States/UT(s) | 1 |
| No of Districts | 12 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 2 |
| Insights from the dataset | For government employees and policymakers, the Agricultural wages data can provide insights into the economic conditions of the agricultural sector and help in the formulation of policies related to labor welfare, minimum wages, and rural development. Social scientists can use the data to study the trends in agricultural labor wages over time and across different regions, and to analyze the impact of government policies on the livelihoods of agricultural workers. Media houses and newsrooms can use the data to report on issues related to agricultural labor and to highlight any disparities in wages across different regions and types of work. |
| IDP Ready | Yes |