The Trends in International Mathematics and Science Study, 2015 (TIMSS 2015) is a data collection that is part of the Trends in International Mathematics and Science Study (TIMSS) program; program data are available since 1999 at . TIMSS 2015 (https://nces.ed.gov/timss/) is a cross-sectional study that provides international comparative information of the mathematics and science literacy of fourth-, eighth-, and twelfth-grade students and examines factors that may be associated with the acquisition of math and science literacy in students. The study was conducted using direct assessments of students and questionnaires for students, teachers, and school administrators. Fourth-, eighth-, and twelfth-graders in the 2014-15 school year were sampled. Key statistics produced from TIMSS 2015 provide reliable and timely data on the mathematics and science achievement of U.S. students compared to that of students in other countries. Data are expected to be released in 2018.

A computerized data set of demographic, economic and social data for 227 countries of the world. Information presented includes population, health, nutrition, mortality, fertility, family planning and contraceptive use, literacy, housing, and economic activity data. Tabular data are broken down by such variables as age, sex, and urban/rural residence. Data are organized as a series of statistical tables identified by country and table number. Each record consists of the data values associated with a single row of a given table. There are 105 tables with data for 208 countries. The second file is a note file, containing text of notes associated with various tables. These notes provide information such as definitions of categories (i.e. urban/rural) and how various values were calculated. The IDB was created in the U.S. Census Bureau''s International Programs Center (IPC) to help IPC staff meet the needs of organizations that sponsor IPC research. The IDB provides quick access to specialized information, with emphasis on demographic measures, for individual countries or groups of countries. The IDB combines data from country sources (typically censuses and surveys) with IPC estimates and projections to provide information dating back as far as 1950 and as far ahead as 2050. Because the IDB is maintained as a research tool for IPC sponsor requirements, the amount of information available may vary by country. As funding and research activity permit, the IPC updates and expands the data base content. Types of data include: * Population by age and sex * Vital rates, infant mortality, and life tables * Fertility and child survivorship * Migration * Marital status * Family planning Data characteristics: * Temporal: Selected years, 1950present, projected demographic data to 2050. * Spatial: 227 countries and areas. * Resolution: National population, selected data by urban/rural * residence, selected data by age and sex. Sources of data include: * U.S. Census Bureau * International projects (e.g., the Demographic and Health Survey) * United Nations agencies Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08490

The Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports by state and Harmonized System (HS) code. The State HS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the state level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of International Falls by race. It includes the distribution of the Non-Hispanic population of International Falls across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of International Falls across relevant racial categories.

Key observations

Of the Non-Hispanic population in International Falls, the largest racial group is White alone with a population of 5,198 (92.71% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the International Falls
• Population: The population of the racial category (for Non-Hispanic) in the International Falls is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of International Falls total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for International Falls Population by Race & Ethnicity. You can refer the same here

India Foreign Tourist Arrivals: Student Visa: Central and South America data was reported at 769.000 Unit in 2014. India Foreign Tourist Arrivals: Student Visa: Central and South America data is updated yearly, averaging 769.000 Unit from Dec 2014 (Median) to 2014, with 1 observations. India Foreign Tourist Arrivals: Student Visa: Central and South America data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under India Premium Database’s Tourism Sector – Table IN.QB030: Foreign Tourist Arrivals: by Visa Type: Student Visa.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

Key Table Information.Table Title.Annual Geographic Information Table.Table ID.GEOINFO2023.GEOINFO.Survey/Program.Geography.Year.2023.Dataset.GEO Geography Information.Source.U.S. Census Bureau, 2023 Geography.Release Date.August 15, 2024.Dataset Universe.Geographic information available in data.census.gov for year 2023.Methodology.Data Items and Other Identifying Records.Geographic Area Name Area (Land, in square meters) Area (Land, in square miles) Area (Water, in square meters) Area (Water, in square miles) Internal Point (Latitude) Internal Point (Longitude) For full list of all the variables including those available in the API refer to the following link: https://api.census.gov/data/2023/geoinfo/variables.html.Unit(s) of Observation.Geographic entity.Geography Coverage.For a full list defining the geographies covered go to https://api.census.gov/data/2023/geoinfo/geography.html.Technical Documentation/Methodology.https://www.census.gov/programs-surveys/geography/about/glossary.html.Table Information.API Information.https://api.census.gov/data/2023/geoinfo.html.Data-Specific Notes.The Geography Information dataset (GEOINFO) contains all the geographies that are disseminated by the U.S Census Bureau during a calendar year. The dataset combines all these disseminated geographies into one centralized location to allow for easy user access. The Geography Information dataset includes spatial attributes for the disseminated geographies, such as a point of internal latitude, a point of internal longitude, and the area of the water and land both in square meters and square miles. The geographies contained in the Geography Information dataset are the geographies disseminated for surveys and programs such as the American Community Survey, Community Resilience Estimates, Current Population Survey, Decennial Census, Economic Census, Economic Surveys, Household Pulse Survey, International Database, Population Estimates, Secondary Employment Outcomes, Public Sector, and Survey of Market Absorption. The Geography Information dataset does include island area geographies but does not contain any international geographies. The Geography Information dataset will be created annually for the calendar year prior once all of the Geographic Information Tables for the various surveys and programs are received for the year. The Geography Information dataset will be released around the early summer every year. The program will first produce a Geography Information dataset for data year 2023 and eventually produce datasets going backwards to data year 2020. The program will also produce a Geography Information dataset for every subsequent year after data year 2023. Note: The Geography Information dataset contains the geographies disseminated for the Population Estimates Program but does not currently support the release of the population estimates. Please refer to the following URL for population estimates: https://www.census.gov/programs-surveys/popest/data.html Note: The Geography Information dataset for 2023 does not include any island area geographies..Additional Information.Contact Information.census.data@census.gov.Suggested Citation.U.S. Census Bureau. "Annual Geographic Information Table" Geography, GEO Geography Information, Table GEOINFO, -1, https://data.census.gov/table/GEOINFO2023.GEOINFO?q=GEOINFO: Accessed on June 24, 2025..

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SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES WORLD REGION OF BIRTH OF FOREIGN BORN - DP02 Universe - Foreign-born population - excluding population born at sea Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The foreign-born population includes anyone who was not a U.S. citizen at birth.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

United States Gross Sales by Foreigners: Guatemala: Foreign Stocks data was reported at 19.000 USD mn in May 2018. This records an increase from the previous number of 8.000 USD mn for Apr 2018. United States Gross Sales by Foreigners: Guatemala: Foreign Stocks data is updated monthly, averaging 1.000 USD mn from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 66.000 USD mn in Feb 2001 and a record low of 0.000 USD mn in Jul 2009. United States Gross Sales by Foreigners: Guatemala: Foreign Stocks data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z042: Foreign Purchases and Sales in Long Term Securities: Latin American Countries.

United States Exports of antibiotics to Nicaragua was US$16.66 Thousand during 2024, according to the United Nations COMTRADE database on international trade. United States Exports of antibiotics to Nicaragua - data, historical chart and statistics - was last updated on July of 2025.

United States Imports from Sweden of Cotton, not carded or combed was US$1.21 Thousand during 2023, according to the United Nations COMTRADE database on international trade. United States Imports from Sweden of Cotton, not carded or combed - data, historical chart and statistics - was last updated on May of 2025.

Palestine Imports from United States of Lead and articles was US$59.63 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Palestine Imports from United States of Lead and articles - data, historical chart and statistics - was last updated on May of 2025.

Tunisia Imports from United States of Electrical insulators of any material was US$42.79 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Tunisia Imports from United States of Electrical insulators of any material - data, historical chart and statistics - was last updated on June of 2025.

United States Exports of manmade staple fibers to Panama was US$209.01 Thousand during 2024, according to the United Nations COMTRADE database on international trade. United States Exports of manmade staple fibers to Panama - data, historical chart and statistics - was last updated on May of 2025.

United States Gross Sales by Foreigners: Peru: Foreign Stocks data was reported at 82.000 USD mn in May 2018. This records a decrease from the previous number of 115.000 USD mn for Apr 2018. United States Gross Sales by Foreigners: Peru: Foreign Stocks data is updated monthly, averaging 24.000 USD mn from Oct 1976 (Median) to May 2018, with 500 observations. The data reached an all-time high of 1.008 USD bn in Jul 1996 and a record low of 0.000 USD mn in Sep 1992. United States Gross Sales by Foreigners: Peru: Foreign Stocks data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z042: Foreign Purchases and Sales in Long Term Securities: Latin American Countries.

United States Imports from Romania of Office machines not specified elsewhere was US$21.07 Thousand during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Romania of Office machines not specified elsewhere - data, historical chart and statistics - was last updated on July of 2025.