Daily Retail Prices Of Essential Commodities
This dataset contains daily records of retail prices for essential commodities in Meghalya. Each entry includes the date, state name, state code, commodity type, and its price, offering a granular view of the price landscape. The data is crucial for understanding market trends, regional price variations, and the impact of economic policies on commodity prices.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| date | date | Date | |
| state_name | text | State Name | |
| state_code | numeric | State Code | |
| commodity | text | Commodity | |
| price | numeric | Price |
Additional Information
| Field | Value |
|---|---|
| Data last updated | December 3, 2024 |
| Metadata last updated | December 3, 2024 |
| Created | unknown |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Created | 2 months ago |
| Frequency | Daily |
| Size | 3,128,434 |
| Additional info | nan |
| Data extraction page | https://fcainfoweb.nic.in/reports/report_menu_web.aspx |
| Data insights | The insights derived from this dataset are manifold, providing a deep dive into the economic forces shaping the marketplace. By examining the daily fluctuations in both retail and wholesale prices, stakeholders can gauge the immediate impacts of policy interventions and market shifts. This analysis helps in identifying the underlying patterns of price changes and understanding the regional disparities in commodity pricing. Moreover, the dataset serves as a critical tool for predicting future trends and preparing for potential market adjustments. The extensive data coverage also enables a thorough assessment of the effectiveness of market interventions, thereby assisting policymakers in crafting measures that preemptively address shortages and control price surges, ultimately benefiting the broader consumer base. |
| Data last updated | 2024-09-06 00:00:00 |
| Data retreival date | 2024-09-06 00:00:00 |
| Datastore active | True |
| District no | 0 |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | 7a4207f5-d0a6-4a44-9bae-9b2ecc753d37 |
| Idp ready | True |
| Methodology | Data is collected by the Price Monitoring Division (PMD) of the Department of Consumer Affairs, Government of India. Prices are monitored and recorded on a daily basis, encompassing both retail and wholesale prices, as well as spot and future prices of selected essential commodities. Information is primarily gathered from the PMD's web portal. |
| No indicators | 2 |
| Package id | 2c519b66-355d-4def-a999-178664057fe6 |
| Position | 0 |
| Sku | mocafpd-retail_price_report-st-dl-meg |
| State | active |
| States uts no | 1 |
| Tehsil no | 0 |
| Url type | upload |
| Years covered | 2015-2023 |
| Methodology | Data is collected by the Price Monitoring Division (PMD) of the Department of Consumer Affairs, Government of India. Prices are monitored and recorded on a daily basis, encompassing both retail and wholesale prices, as well as spot and future prices of selected essential commodities. Information is primarily gathered from the PMD's web portal. |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | https://fcainfoweb.nic.in/reports/report_menu_web.aspx |
| Data Retreival Date | 2024-09-06 00:00:00 |
| Data Last Updated | 2024-09-06 00:00:00 |
| Sku | mocafpd-retail_price_report-st-dl-meg |
| Dataset Frequency | |
| Years Covered | 2015-2023 |
| No of States/UT(s) | 1 |
| No of Districts | 0 |
| No of Tehsils/blocks | 0 |
| No of Gram Panchayats | 0 |
| Additional Information | nan |
| Number of Indicators | 2 |
| Insights from the dataset | The insights derived from this dataset are manifold, providing a deep dive into the economic forces shaping the marketplace. By examining the daily fluctuations in both retail and wholesale prices, stakeholders can gauge the immediate impacts of policy interventions and market shifts. This analysis helps in identifying the underlying patterns of price changes and understanding the regional disparities in commodity pricing. Moreover, the dataset serves as a critical tool for predicting future trends and preparing for potential market adjustments. The extensive data coverage also enables a thorough assessment of the effectiveness of market interventions, thereby assisting policymakers in crafting measures that preemptively address shortages and control price surges, ultimately benefiting the broader consumer base. |
| IDP Ready | Yes |