Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

BEA's annual input-output (I-O) accounts provide a time series of detailed, consistent information on the flow of goods and services that make up the production processes of industries. The accounts show how industries interact as they provide inputs to, and use outputs from, each other to produce GDP.

United States BoP: IO: CA: Exp: Primary Income (PI) data was reported at 10.523 USD bn in Mar 2018. This records a decrease from the previous number of 10.580 USD bn for Dec 2017. United States BoP: IO: CA: Exp: Primary Income (PI) data is updated quarterly, averaging 7.973 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 10.602 USD bn in Sep 2017 and a record low of 5.336 USD bn in Mar 2006. United States BoP: IO: CA: Exp: Primary Income (PI) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

These data represent an update to the dataset, "State IO Two-Region Economic Input-Output Models for 50 U.S. States 2012-2017" based on the methods described by Li et al. (2022). They are an update to that dataset published with an expanded time series. These models were produced with the stateior R package, v0.4.0. Excel files (50 in total) are provided for two region (State of Interest and Rest of U.S.) Make and Use tables for each U.S. State IO model for years 2012-2023. Additional data files supporting this release including all intermediate and final products in native R format (.RDS) and can be opened directly in R software or through the stateior package. See the stateior github page for more details. https://dmap-data-commons-ord.s3.amazonaws.com/index.html#stateio/ All values are in current dollar years (e.g "Make 2012" is the Make table in 2012 USD in a given model). For a description of the methods used and survey of results see the Addendum 1 on the EPA Science Inventory page for the original publication. Please cite this dataset as: Young, Ben, Julie Chen, Jorge Vendries, and Wesley Ingwersen. 2025. “StateIO v0.4.0 Two-Region Economic Input-Output Models for 50 U.S. States: 2012-2023.” Data.gov. https://doi.org/10.23719/1532211. This dataset is associated with the following publication: Li, M., J. Ferreira, C.D. Court, D. Meyer, M. Li, and W.W. Ingwersen. StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America. International Regional Science Review. SAGE Publications, THOUSAND OAKS, CA, USA, 46(4): 428-481, (2023).

The dataset was collected and open-sourced by IO Intelligence, and exported in the LeRobot format provided by the IO Data Platform.

  Dataset Structure

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Comprehensive dataset of 11 Data entry services in Michigan, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 18,700 Recreation centers in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 109,349 Breakfast restaurants in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Our dataset provides detailed and precise insights into the business, commercial, and industrial aspects of any given area in the USA (Including Point of Interest (POI) Data and Foot Traffic. The dataset is divided into 150x150 sqm areas (geohash 7) and has over 50 variables. - Use it for different applications: Our combined dataset, which includes POI and foot traffic data, can be employed for various purposes. Different data teams use it to guide retailers and FMCG brands in site selection, fuel marketing intelligence, analyze trade areas, and assess company risk. Our dataset has also proven to be useful for real estate investment.- Get reliable data: Our datasets have been processed, enriched, and tested so your data team can use them more quickly and accurately.- Ideal for trainning ML models. The high quality of our geographic information layers results from more than seven years of work dedicated to the deep understanding and modeling of geospatial Big Data. Among the features that distinguished this dataset is the use of anonymized and user-compliant mobile device GPS location, enriched with other alternative and public data.- Easy to use: Our dataset is user-friendly and can be easily integrated to your current models. Also, we can deliver your data in different formats, like .csv, according to your analysis requirements. - Get personalized guidance: In addition to providing reliable datasets, we advise your analysts on their correct implementation.Our data scientists can guide your internal team on the optimal algorithms and models to get the most out of the information we provide (without compromising the security of your internal data).Answer questions like: - What places does my target user visit in a particular area? Which are the best areas to place a new POS?- What is the average yearly income of users in a particular area?- What is the influx of visits that my competition receives?- What is the volume of traffic surrounding my current POS?This dataset is useful for getting insights from industries like:- Retail & FMCG- Banking, Finance, and Investment- Car Dealerships- Real Estate- Convenience Stores- Pharma and medical laboratories- Restaurant chains and franchises- Clothing chains and franchisesOur dataset includes more than 50 variables, such as:- Number of pedestrians seen in the area.- Number of vehicles seen in the area.- Average speed of movement of the vehicles seen in the area.- Point of Interest (POIs) (in number and type) seen in the area (supermarkets, pharmacies, recreational locations, restaurants, offices, hotels, parking lots, wholesalers, financial services, pet services, shopping malls, among others). - Average yearly income range (anonymized and aggregated) of the devices seen in the area.Notes to better understand this dataset:- POI confidence means the average confidence of POIs in the area. In this case, POIs are any kind of location, such as a restaurant, a hotel, or a library. - Category confidences, for example"food_drinks_tobacco_retail_confidence" indicates how confident we are in the existence of food/drink/tobacco retail locations in the area. - We added predictions for The Home Depot and Lowe's Home Improvement stores in the dataset sample. These predictions were the result of a machine-learning model that was trained with the data. Knowing where the current stores are, we can find the most similar areas for new stores to open.How efficient is a Geohash?Geohash is a faster, cost-effective geofencing option that reduces input data load and provides actionable information. Its benefits include faster querying, reduced cost, minimal configuration, and ease of use.Geohash ranges from 1 to 12 characters. The dataset can be split into variable-size geohashes, with the default being geohash7 (150m x 150m).

Comprehensive dataset of 10,785 Payroll services in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 62 Open universities in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

United States BoP: IO: FA: Assets: SDR data was reported at 33.000 USD mn in Mar 2018. This records an increase from the previous number of 26.000 USD mn for Dec 2017. United States BoP: IO: FA: Assets: SDR data is updated quarterly, averaging 18.500 USD mn from Mar 2003 (Median) to Mar 2018, with 60 observations. The data reached an all-time high of 47.720 USD bn in Sep 2009 and a record low of -2.976 USD bn in Sep 2005. United States BoP: IO: FA: Assets: SDR data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JB011: Balance of Payments: BPM6: International Organizations and Unallocated.

Historical price and volatility data for io.net in US Dollar across different time periods.

United States IPI: Equip: Business: IO: Industrial data was reported at 95.853 2012=100 in Oct 2018. This records an increase from the previous number of 94.337 2012=100 for Sep 2018. United States IPI: Equip: Business: IO: Industrial data is updated monthly, averaging 81.024 2012=100 from Jan 1967 (Median) to Oct 2018, with 622 observations. The data reached an all-time high of 105.374 2012=100 in Jun 2012 and a record low of 53.610 2012=100 in Feb 1983. United States IPI: Equip: Business: IO: Industrial data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.B001: Industrial Production Index: By NAIC System: 2012=100.

Historical price and volatility data for Blockchain.io in US Dollar across different time periods.

Comprehensive dataset of 20 Institutes in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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Comprehensive dataset of 310 Colleges in Iowa, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.