import-trade-statistics

This dataset, titled "Imports from African Countries," presents a detailed account of commodities imported from various African countries. Data is sourced from the official trade statistics website of the commerce department. Each entry is uniquely represented by its date, the country of origin, the Harmonized System (HS) code, and the specific name of the commodity. The values of these commodities are provided in both USD and INR, alongside the quantity in kilograms.

Imports from African Countries

The "Imports from Antarctica Countries" dataset provides a detailed overview of trade imports originating from countries within the Antarctic region. The dataset includes specifics about the imported commodities, their values in both US dollars and Indian rupees, and their quantities. The data source is the official commerce portal of the Indian government, suggesting its authenticity and reliability.

Imports from Antarctica Countries

This dataset, named "Imports from European Countries," provides detailed information about the imports from European nations to a particular destination (presumably India, given the source and the use of INR). Data includes specifics on the country of origin, the type of commodity imported, its quantity, and its value in both USD and INR. The harmonized system (HS) codes serve as the standardized product classification method.

Imports from European Countries

This dataset provides comprehensive data on the imports from North American countries, featuring detailed information from the date of import to the type and value of commodities. Each record consists of the date, country of origin, HS code, commodity name, value in both USD and INR, and the quantity of commodity imported. The dataset is instrumental for economic analysis, policy making, and understanding trade patterns.

Imports from North American Countries

This dataset captures the imports from Asian countries, presenting a detailed breakdown of traded commodities. It offers insights into the trade dynamics between Asian nations and other countries, with data primarily focusing on the classification of products, their value in both USD and INR, and the quantity of commodities traded.

Imports from Asian Countries

The "Imports from Oceanic Countries" dataset is a comprehensive collection that provides insights into the imports sourced from countries in the Oceanic region. With detailed information regarding the type of commodities traded, their value in USD, INR, and the respective quantities, this dataset can offer a thorough understanding of trade dynamics between Oceanic countries and other trade partners. The dataset is sourced from a reputable government trade statistics platform, ensuring its reliability and authenticity.

Imports from Oceanic Countries

The "Imports from South American Countries" dataset, sourced from the official trade statistics website maintained by the commerce division of the government, provides detailed records of commodities imported from South American countries. It contains information regarding the date of import, country of origin, HS code of the product, commodity name, value in USD, quantity in KGs, and the value in INR. This data is instrumental in understanding the trade dynamics and patterns between South American countries and the importing entity.

Imports from South American Countries

The "Imports from Unspecified Countries" dataset provides a comprehensive view of the imports, their value, and quantity, for various commodities coming into a country. The source of this data is from the Trade Statistics Database of the Commerce Department. Each record provides information about the date of import, originating country, commodity type as classified by the Harmonized System, the name of the commodity, its value in both USD and INR, and the quantity of the commodity in kilograms.

Imports from Unspecified Countries

This dataset, titled "Imports to American Countries," presents a detailed account of commodities imported from various American countries. Data is sourced from the official trade statistics website of the commerce department. Each entry is uniquely represented by its date, the country of origin, the Harmonized System (HS) code, and the specific name of the commodity. The values of these commodities are provided in both USD and INR, alongside with quantity.

Imports from American Countries

Import Trade Statistics

idp-organization

IDP organization

export-trade-statistics

The "Exports to Asian Countries" dataset provides a comprehensive view of trade exports from an unspecified country (presumably India given the source) to various Asian countries. This dataset covers the periodical data of exports in terms of value in both USD and INR and also in terms of quantity. Each record provides the date, target country, type of product (both in terms of HS code and the commodity name), the value of the commodity, and the quantity of the commodity being exported.

Exports to Asian Countries

The dataset titled "Exports to African Countries" collates and provides comprehensive trade data pertaining to products exported from India to various African nations. Sourced from the official government database of trade statistics, the dataset furnishes detailed insights on the type of products exported, their monetary value in USD and INR, as well as their quantities. The Harmonized System (HS) code allows for international uniformity in classifying these products.

Exports to African Countries

Exports to European Countries dataset provides detailed information on the export of commodities to European countries, offering insights into the traded products, their values in both USD and INR, and quantities. Each entry is tagged with a unique Harmonized System (HS) code that classifies traded products universally.

Exports to North American Countries

The "Exports to South American Countries" dataset provides a detailed account of export trade activities between South American nations and the data source's country of origin. This dataset encompasses various export commodities, each classified under a unique Harmonized System (HS) code. It offers insights into the monetary value of these commodities both in USD and INR, along with the corresponding quantities. This data is crucial for trade analysts, policymakers, and researchers aiming to understand trade dynamics with South American nations.

Exports to South American Countries

The dataset "Exports to Unspecified Countries" represents trade data, particularly focusing on the export of commodities to unspecified countries. Sourced from the website of India's official trade statistics, it provides insight into the commodities being exported, their quantity, and their value in both USD and INR.

Exports to Unspecified Countries

The dataset "Exports to Oceanic Countries" contains detailed information on exports from a specific country (presumably India, given the source) to various Oceanic countries. It showcases trade metrics like the value of the commodities traded, both in USD and INR, the quantity of these commodities, and more. The data also incorporates the Harmonized System (HS) code which is a universally accepted system for classifying traded products.

Exports to Oceanic Countries

Exports to European Countries

The "Exports to Antarctica Countries" dataset provides detailed information on the trade statistics between India and Antarctica countries, sourced from India's Ministry of Commerce & Industry. It encompasses a variety of data points, including the date of trade, country of destination, Harmonized System (HS) code, name of the commodity, and its value in both USD and INR, as well as the quantity of the commodity traded in kilograms.

Exports to Antartica Countries

The dataset titled "Exports to American Countries" collates and provides comprehensive trade data pertaining to products exported from India to various American nations. Sourced from the official government database of trade statistics, the dataset furnishes detailed insights on the type of products exported, their monetary value in USD and INR, as well as their quantities. The Harmonized System (HS) code allows for international uniformity in classifying these products.

Exports to American Countries

Export Trade Statistics

vehicle-registrations

The "VAHAN Vehicle Registrations by Norm" dataset provides comprehensive information about vehicle registrations in various states and regional transport offices (RTOs) across India, categorized by norms. It serves as a valuable resource for analyzing vehicle registration trends and compliance with different norms and regulations. The dataset includes key variables such as the date of registration, state names, state codes, RTO names, RTO codes, specific norms, categorization information, and the number of registrations. This dataset is crucial for policymakers, transportation authorities, and analysts interested in monitoring and understanding vehicle registration patterns in India.

VAHAN Vehicle Registrations by Norm

The "VAHAN Vehicle Registrations by Maker" dataset provides comprehensive information about vehicle registrations in India, including details about the manufacturer, vehicle category, and the number of registrations. The dataset is a valuable resource for analyzing trends in vehicle registrations by different manufacturers across various states and regions. It includes essential variables such as the date of registration, state name, state code, Regional Transport Office (RTO) name and code, vehicle manufacturer, vehicle category, and the number of registrations. This dataset is crucial for policymakers, the automotive industry, and analysts interested in monitoring and understanding vehicle registration patterns in India.

VAHAN Vehicle Registrations by Maker

The "VAHAN Vehicle Registrations by Fuel Type" dataset provides information about vehicle registrations in India, segmented by fuel type. It is a valuable resource for understanding the distribution of vehicles based on fuel types across different states and regional transport offices (RTOs). The dataset includes key variables such as the date of registration, state names, state codes, RTO names, RTO codes, fuel types (e.g., petrol, diesel, electric), vehicle categories (e.g., two-wheeler, four-wheeler), and the number of registrations. This dataset is essential for policymakers, transportation planners, and analysts interested in monitoring vehicle trends and environmental impact related to fuel usage in India.

VAHAN Vehicle Registrations by Fuel Type

The "VAHAN Vehicle Registrations by Vehicle Category" dataset provides comprehensive information about vehicle registrations categorized by vehicle category across various states and regional transport offices (RTOs) in India. It serves as a valuable resource for understanding the distribution of vehicle registrations, including details such as state names, state codes, RTO names, RTO codes, vehicle categories, the categorization criteria, and the number of registrations. This dataset is instrumental for policymakers, transportation authorities, and analysts interested in monitoring and analyzing vehicle registration trends in India.

VAHAN Vehicle Registrations by Vehicle Category

The "VAHAN Vehicle Registrations by Vehicle Class" dataset provides comprehensive information about vehicle registrations in various states and regional transport offices (RTOs) in India, categorized by vehicle class. It serves as a valuable resource for analyzing the distribution of vehicle registrations across different vehicle classes, states, and RTOs. The dataset includes critical variables such as the date of registration, state names, state codes, RTO names, RTO codes, vehicle classes, categorized classes, and the number of registrations. This dataset is essential for policymakers, transportation authorities, and analysts interested in monitoring and analyzing vehicle registration trends in India.

VAHAN Vehicle Registrations by Vehicle Class

Vehicle Registrations

input-survey

The Agricultural Input Consumption Survey dataset offers a detailed perspective on the utilization of key agricultural inputs among various operational holding size categories, ranging from marginal to large holdings. This data is crucial for informed decision-making in the production, import, and distribution of fertilizers. The survey covers a spectrum of inputs including chemical fertilizers, HYV seeds, pesticides, and more. It also captures essential information like pest control measures, educational qualifications, and household demographics of operational holders. The dataset is a valuable resource for policymakers, researchers, and stakeholders in the agricultural sector.

Input Survey - Composite

The Agricultural Inputs Consumption Survey Dataset provides detailed information on the utilization of agricultural resources across different farm sizes. The objective is to understand input consumption patterns among various categories of farmers, aiding in production, imports, and fertilizer distribution planning. The dataset encompasses various variables, including farm size, irrigation data, livestock count, credit usage, and seed type. It serves as a valuable resource for agricultural policy formulation and informed decision-making.

Input Survey - Non Crop

Input Survey - Crop

Input Survey

power

Transmission lines data provided by Central Electricity Autority , Govt of India.Transmission lines are specialized cables or structures that carry electric power or electromagnetic signals from one point to another. They are classified based on their voltage level, length, location, and circuit type.The data also give information regarding  sector  which  refers to the different categories of entities that own or operate the transmission lines. There are three sectors mentioned : central sector, state sector, and private sector

Transmission Lines

The provided data directs to the installed energy capacity in every state of India by National Power Portal(NPP). This data includes details such as the region, state, sector, energy sources (coal, lignite, gas, diesel, thermal, nuclear, hydro, and renewable energy), and the total energy generation for each entry. It offers a valuable resource to gather, analyze, and interpret data related to energy and electricity generation in India. It serves as a vital tool for policymakers, researchers, and industry professionals to make informed decisions and devise strategies to optimize energy resources and infrastructure.

Installed Capacity Statewise

Power Generation data is taken from nuclear, thermal and hydro power stations across india. The data is collected on daily basis. It contains generation data by state, sector, power station type, individual power station and unit level. The data field includes installed capacity, day's power generaiton target, actual generation etc. for each power station.

Daily Power Generation

The provided data directs to the Central Electricity Authority's (CEA) position of Power supply in every state. This data offers a valuable resource to gather, analyze, and interpret data related to energy and electricity in India. It presents a comprehensive overview of the power sector's performance, including  distribution and consumption trends. It serves as a vital tool for policymakers, researchers, and industry professionals to make informed decisions and devise strategies to optimize energy resources and infrastructure.

Energy Requirement and Availabililty

Coal Stocks data is taken from thermal power stations across India. The data is collected daily. It contains coal stock data by state, sector, and individual power station. The data field includes mode of transport,  capacity, normative stocks, actual stocks, receipt, consumption, plant load factor, the criticalness of the plant, reason for critical etc., for each power station.

Daily Coal Stocks

The "Inter-State Generating Station(ISGS) Renewable Energy Generation" dataset provides insights into the daily energy generation from renewable sources across Inter-State Generating Station in India. It outlines the type of renewable energy, the installed capacity, and the actual energy generated daily.

Inter-State Generating Station(ISGS) Renewable Energy Generation

The "Daily Renewable Energy Generation" dataset provides insights into the daily energy generation from renewable sources across various states in India. It outlines the type of renewable energy region and state-wise, and energy generated daily.

Daily Renewable Energy Generation

The "State Control Renewable Energy Generation" dataset provides insights into the daily energy generation from stations that are under state renewable sources across various states in India. It outlines the type of renewable energy region and state-wise, and energy generated daily.

State Control Renewable Energy Generation

Power Generation data is taken from nuclear, thermal and hydro power stations across india. The data is collected on daily basis. It contains plant outage data by state, sector, power station type, individual power station and unit level. The data field includes installed capacity, outage information etc. for each power station.

Daily Power Outage

Power

union-budget

The dataset "Capital Receipts" is from the Ministry of Finance and is part of the Union Budget package. It captures detailed information about capital receipts, including various forms of non-tax revenue the government receives. The dataset is structured to include categories such as significant heads, specific particulars, and types of estimates (budget estimates, revised estimates, and actuals). The dataset provides an annual breakdown of capital receipts, with values reported in crores of Indian Rupees (INR).

Capital Receipts

The dataset provides a comprehensive summary of the Union Budget, presenting key financial figures and estimates across various budget categories. It serves as an essential tool for understanding the allocation of financial resources and the fiscal strategy of the Government of India.

Budget At A Glance

The dataset provides detailed information on the government's non-tax revenue, including various categories and subcategories. It is a crucial component of the Union Budget that showcases the governmentâ€™s earnings from sources other than direct and indirect taxes, such as dividends, interest receipts, and other administrative revenues.

Non Tax Receipts

The dataset provides detailed information on the financial outlays for major government schemes, as presented in the Union Budget. It tracks the allocation and expenditure of funds on key schemes that are crucial to government policy and public welfare.

Outlay on Major Schemes

The dataset provides detailed information on tax revenues collected by the government, categorized under various heads. It reflects the government's fiscal operations and its ability to generate revenue through different types of taxes.

Tax Receipts

Union Budget

pradhan-mantri-krishi-sinchai-yojana-pmksy

The dataset provides information on the financial and physical progress of the Pradhan Mantri Krishi Sinchai Yojana (PMKSY) Micro Irrigation scheme at the district level. The data is updated on a monthly basis and includes information on the amount of funds and area allocated and disbursed, and the percentage of funds and area utilized. 
The PMKSY Micro Irrigation scheme aims to promote the efficient use of water in agriculture by providing financial assistance to farmers for setting up micro-irrigation systems. The scheme is a flagship program of the Government of India and has been implemented in partnership with the state governments. The financial and physical progress monitoring system is an important tool for tracking the effectiveness of the scheme and ensuring that the funds allocated are being utilized efficiently.

PMKSY MIPMS Physical and Financial Report

Pradhan Mantri Krishi Sinchai Yojana (PMKSY)

mission-antyodaya-2020

The Mission Antyodaya dataset offers an extensive overview of village-level infrastructure, socio-economic indicators, and resource availability across India. This comprehensive dataset, collected under the Mission Antyodaya initiative, aims to uplift the most underprivileged rural communities by providing detailed insights into various aspects of rural life. This dataset serves as a crucial tool for policymakers, researchers, and development practitioners, providing a holistic view of rural development needs and achievements. By capturing diverse aspects of village life, the dataset facilitates comprehensive monitoring, planning, and implementation of initiatives aimed at improving rural infrastructure and services, thereby contributing to poverty alleviation and sustainable development in India's rural areas.

| Variable Name           | Variable Description                            | Variable Type |
|-------------------------|--------------------------------------------------|---------------|
| year                    | Year                                             | TEXT          |
| state_code              | State Code                                       | TEXT          |
| state_name              | State Name                                       | TEXT          |
| district_code           | District Code                                    | TEXT          |
| district_name           | District Name                                    | TEXT          |
| block_code              | Block Code                                       | TEXT          |
| block_name              | Block Name                                       | TEXT          |
| gp_code                 | Gram Panchayat Code                              | TEXT          |
| gp_name                 | Gram Panchayat Name                              | TEXT          |
| village_code            | Village Code                                     | TEXT          |
| village_name            | Village Name                                     | TEXT          |
| tot_pop                 | Total Population                                 | NUMERIC       |
| pop_male                | Male Population                                  | NUMERIC       |
| pop_female              | Female Population                                | NUMERIC       |
| tot_hh                  | Total Households                                 | NUMERIC       |
| bank                    | Bank                                             | TEXT          |
| bank_distance           | Nearest Bank Distance                            | TEXT          |
| bc_w_internet           | Business Correspondent with Internet             | TEXT          |
| atm                     | ATM                                              | TEXT          |
| internet_bb             | Internet / Broadband Facility                    | TEXT          |
| all_weather_road        | Connected To All Weather Road                    | TEXT          |
| cc_road                 | Internal Pucca Roads (Cc/ Brick Road)            | TEXT          |
| pub_trans               | Public Transport                                 | TEXT          |
| railway                 | Railway Station                                  | TEXT          |
| csc_avail               | Common Service Centre                            | TEXT          |
| elec_domes              | Domestic Electricity                             | TEXT          |
| elec_msme               | Electricity Supply to MSME units                 | TEXT          |
| pds                     | Public Distribution System                       | TEXT          |
| avl_market              | Markets                                          | TEXT          |
| tap_water               | Piped Tap Water                                  | TEXT          |
| telefone                | Telephone Services                               | TEXT          |
| clean_energy_hhs        | HHs using Clean Energy(LPG/Biogas)               | NUMERIC       |
| solar_wind_elect        | Solar / Wind Energy For Electrification          | TEXT          |
| kuccha_hhs              | HHs with Kuccha Wall and Kuccha Roof             | NUMERIC       |
| po_sub_po               | Post Office / Sub-Post Office                    | TEXT          |
| panch_bhawan            | Panchayat Bhawan                                 | TEXT          |
| pib                     | Public Information Board                         | TEXT          |
| prim_school             | Primary School                                   | TEXT          |
| middle_school           | Middle School                                    | TEXT          |
| high_school             | High School                                      | TEXT          |
| high_second_school      | Higher / Secondary School                         | TEXT          |
| degree_clg              | Degree College                                   | TEXT          |
| public_library          | Public Library                                   | TEXT          |
| rec_sports              | Recreational Centre / Sports Playground          | TEXT          |
| vocational              | Vocational Educational Centre                    | TEXT          |
| subcentre               | Sub Centre                                       | TEXT          |
| subcentre_dist          | Nearest Sub Centre                               | TEXT          |
| veterinary              | Veterinary Clinic Hospital                       | TEXT          |
| veterinary_dist         | Nearest Veterinary Clinic                        | TEXT          |
| drainage                | Drainage Facilities                              | TEXT          |
| pcomm_pasture           | Common Pastures                                  | TEXT          |

Mission Antyodaya 2020

Contains the metadata of all the high value datasets at IDP

high-value-datasets-prod

High-Value-Datasets

vahan-vehicle-registrations

The "VAHAN Vehicle Registrations" dataset provides comprehensive data on vehicle registrations across India, offering insights into various aspects such as vehicle norms, manufacturers, fuel types, categories, and classes. This dataset includes key variables like the date of registration, state names and codes, Regional Transport Office (RTO) names and codes, vehicle manufacturers, fuel types (e.g., petrol, diesel, electric), vehicle categories (e.g., two-wheeler, four-wheeler), and vehicle classes. Additionally, it categorizes data by specific norms, vehicle types, and other criteria, detailing the number of registrations for each category. This resource is invaluable for policymakers, transportation authorities, analysts, and the automotive industry, enabling them to monitor and understand trends in vehicle registrations, compliance with regulations, and the environmental impact of fuel usage across different regions and RTOs in India.

| Variable Name    | Variable Description | Variable Type |
|------------------|----------------------|---------------|
| date             | Date                 | DATE          |
| state_name       | State Name           | TEXT          |
| state_code       | State Code           | TEXT          |
| office_name      | RTO Name             | TEXT          |
| office_code      | RTO Code             | TEXT          |
| type             | Fuel                 | TEXT          |
| category         | Category             | TEXT          |
| registrations    | Registrations        | NUMERIC       |


VAHAN Vehicle Registrations

daily-fertilizer-sales

The dataset provides information on the daily sales of different types of fertilizers by retail outlets in India. This dataset is valuable for farmers, policymakers, researchers, and other stakeholders in the agriculture sector. Farmers can use the information to plan their fertilizer purchases and ensure that they have access to the fertilizers they need. Policymakers can use the data to monitor the supply and demand of fertilizers in different regions of the country and make informed decisions on fertilizer subsidy policies. Researchers can use the data to study the fertilizer market and identify trends and patterns in fertilizer sales. 

| Variable Name              | Variable Description              | Variable Type | Unit of Measurement |
|----------------------------|-----------------------------------|---------------|---------------------|
| date                       | Date                              | DATE          |                     |
| state_name                 | Name of State                     | TEXT          |                     |
| state_code                 | State Code                        | TEXT          |                     |
| district_name              | Name of District                  | TEXT          |                     |
| district_code              | District Code                     | TEXT          |                     |
| retailer_name              | Name of Retailer                  | TEXT          |                     |
| retailer_id                | Retailer ID                        | TEXT          |                     |
| attached_devices           | No of Attached PoS Devices        | NUMERIC       |                     |
| active                     | Active                            | BOOLEAN       |                     |
| opening_stock_reported     | Opening Stock Reported            | BOOLEAN       |                     |
| opening_stock              | Opening Stock (as on dry run or go live date) | NUMERIC       | Metric Tonnes       |
| no_of_invoices_generated   | No of Invoices Generated          | NUMERIC       |                     |
| no_of_sale_transaction     | No of Sales Transactions          | NUMERIC       |                     |
| quantity_sold              | Quantity Sold                     | NUMERIC       |                     |
| n_quantity                 | Quantity of Nitrogen Sold         | NUMERIC       |                     |
| p_quantity                 | Quantity of Phosphorus Sold       | NUMERIC       |                     |
| k_quantity                 | Quantity of Potassium Sold        | NUMERIC       |                     |
| s_quantity                 | Quantity of Sulfur Sold           | NUMERIC       |                     |