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Decennial Census: American Indian and Alaska Native Summary File

Data provided by  United States Census Bureau

The AIAN Summary File contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The American Indian and Alaska Native Summary File (AIANSF) contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The file also includes housing characteristics, such as tenure (whether a housing unit is owner-occupied or renter- occupied) and age of householder for occupied housing units. Selected aggregates and medians also are provided.

Tags: census

Modified:

Source: http://api.census.gov/data/2010/dec/aian

FY 2017 EDA Annual Report

Data provided by  Economic Development Administration

The Economic Development Administration's annual report to Congress documenting EDA's efforts to fulfil its mission of leading the federal economic development agenda in the fiscal year 2017

Tags: annual report,2018,economic development

Modified:

Source: https://eda.gov/annual-reports/fy2018/

Underlying Data (FY2012-FY2018)

Data provided by  Economic Development Administration

Detailed grant data on EDA grants made between FY2012 and FY2018

Tags: grant data,2012,2013,2014,2015,2016,2017,2018,economic development

Modified:

Source: https://eda.gov/performance/data-disclaimer/

Survey of International Travelers (SIAT)

Data provided by  International Trade Administration

The Survey of International Air Travelers is an on-going primary research program which gathers statistical data about air passenger travelers in U.S. - overseas and U.S. - Mexican markets. Survey data provides information on passenger trip planning, travel patterns, demographics and spending for two separate populations – non-U.S. residents traveling to the U.S. and U.S. residents traveling from the U.S.

Modified:

Source: https://travel.trade.gov/research/programs/ifs/index.asp

Top Market Reports

Data provided by  International Trade Administration

The International Trade Administration's Top Markets Series is meant to help exporters determine their next export market by comparing opportunities across borders. Each report ranks future export opportunities within a particular industry based on a sector-specific methodology. The reports provide a detailed assessment of the competitiveness landscape within a sector, as well as the opportunities and challenges facing U.S. exporters in key markets

Modified:

Source: https://legacy.trade.gov/topmarkets/

U.S. International Air Travel Statistics (I-92 data) Program

Data provided by  International Trade Administration

Information on international air traffic between the United States and other countries. Provides publications for a fee.

Modified:

Source: http://travel.trade.gov/research/programs/i92/index.html

U.S. Textiles and Apparel Imports Under Free Trade Agreements

Data provided by  International Trade Administration

Statistics on imports of textile and apparel products into the U.S. under free trade agreements.

Modified:

Source: https://otexa.trade.gov/msrpoint.htm%23fta

U.S. Textiles and Apparel Trade Preference Program Statistics

Data provided by  International Trade Administration

Statistics and reports on U.S. imports under trade preference programs.

Modified:

Source: https://otexa.trade.gov/msrpoint.htm

Visitor Arrivals Program (I-94 Data)

Data provided by  International Trade Administration

The International Visitor Arrivals Program provides the U.S. government and the public with the official monthly and annual overseas visitor arrivals to the United States. The National Travel and Tourism Office (NTTO) manages the program in cooperation with the Department of Homeland Security, Customs and Border Protection (CBP).

Modified:

Source: https://www.trade.gov/i-94-arrivals-program?anchor=content-node-t14-field-lp-region-2-1

Optimal Bayesian Experimental Design

Data provided by  National Institute of Standards and Technology

Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model - analogous to a fitting function - Bayesian inference uses each measurement "data point" to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.

Modified:

Source: https://doi.org/10.18434/M32090