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

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.

The Trends in International Mathematics and Science Study, 2007 (TIMSS 2007), is a study that is part of the Trends in International Mathematics and Science Study (TIMSS) program. TIMSS 2007 (https://nces.ed.gov/timss/) is a cross-sectional study that provides international comparative information of the mathematics and science literacy of fourth- and eighth-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- and eighth-graders in the 2006-07 school year were sampled. The final weighted student response rate at grade four was 95 percent, and the final weighted student response rate at grade eight was 93 percent. Key statistics produced from TIMSS 2003 are mathematics and science achievement scores of U.S. fourth- and eighth- grade students compared to that of students in other countries.

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

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.

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.

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This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..This table provides geographical mobility for persons relative to their previous place of residence. The characteristics crossed by geographical mobility reflect the current survey year. The estimates do not include people who moved to Puerto Rico, other U.S. Island Areas, or Foreign Countries..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Tables for Geographical Mobility by Residence 1 Year Ago in the United States are only available for States; Counties; Places; County Subdivisions in selected states (CT, ME, MA, MI, MN, NH, NJ, NY, PA, RI, VT, WI); Combined Statistical Areas; Metropolitan and Micropolitan Statistical Areas, and their associated Metropolitan Divisions and Principal Cities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

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 Gross Purchases by Foreigners: Panama: Foreign Stocks data was reported at 985.000 USD mn in May 2018. This records a decrease from the previous number of 1.125 USD bn for Apr 2018. United States Gross Purchases by Foreigners: Panama: Foreign Stocks data is updated monthly, averaging 52.000 USD mn from Oct 1976 (Median) to May 2018, with 500 observations. The data reached an all-time high of 4.980 USD bn in Sep 1994 and a record low of 0.000 USD mn in Jun 1985. United States Gross Purchases by Foreigners: Panama: 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 US LT Sec: FH: Others: French Polynesia data was reported at 34.000 USD mn in Apr 2018. This records a decrease from the previous number of 35.000 USD mn for Mar 2018. United States US LT Sec: FH: Others: French Polynesia data is updated monthly, averaging 65.000 USD mn from Dec 2011 (Median) to Apr 2018, with 77 observations. The data reached an all-time high of 105.000 USD mn in May 2014 and a record low of 33.000 USD mn in Dec 2016. United States US LT Sec: FH: Others: French Polynesia 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.Z049: US Long Term Securities by Foreign Holders: By Country.

United States Gross Sales by Foreigners: Sweden: US T Bonds and Notes data was reported at 1.118 USD bn in May 2018. This records an increase from the previous number of 431.000 USD mn for Apr 2018. United States Gross Sales by Foreigners: Sweden: US T Bonds and Notes data is updated monthly, averaging 945.500 USD mn from Oct 1976 (Median) to May 2018, with 500 observations. The data reached an all-time high of 9.601 USD bn in Mar 1989 and a record low of 0.000 USD mn in Jul 1983. United States Gross Sales by Foreigners: Sweden: US T Bonds and Notes 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.Z041: Foreign Purchases and Sales in Long Term Securities: European Countries.

United States Gross Purchases by Foreigners: Malaysia: Foreign Stocks data was reported at 572.000 USD mn in May 2018. This records an increase from the previous number of 471.000 USD mn for Apr 2018. United States Gross Purchases by Foreigners: Malaysia: Foreign Stocks data is updated monthly, averaging 140.000 USD mn from Jan 1977 (Median) to May 2018, with 497 observations. The data reached an all-time high of 1.723 USD bn in Jun 2007 and a record low of 0.000 USD mn in Nov 1988. United States Gross Purchases by Foreigners: Malaysia: 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.Z039: Foreign Purchases and Sales in Long Term Securities: Asian Countries.

United States Gross Sales by Foreigners: Sweden: US Govt Agency Bonds data was reported at 0.000 USD mn in May 2018. This records a decrease from the previous number of 98.000 USD mn for Apr 2018. United States Gross Sales by Foreigners: Sweden: US Govt Agency Bonds data is updated monthly, averaging 2.000 USD mn from Oct 1976 (Median) to May 2018, with 500 observations. The data reached an all-time high of 2.937 USD bn in Jun 2008 and a record low of 0.000 USD mn in May 2018. United States Gross Sales by Foreigners: Sweden: US Govt Agency Bonds 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.Z041: Foreign Purchases and Sales in Long Term Securities: European Countries.

United States Gross Purchases by Foreigners: Asia: US Corp Bonds data was reported at 9.430 USD bn in May 2018. This records an increase from the previous number of 9.189 USD bn for Apr 2018. United States Gross Purchases by Foreigners: Asia: US Corp Bonds data is updated monthly, averaging 1.908 USD bn from Jan 1977 (Median) to May 2018, with 497 observations. The data reached an all-time high of 24.339 USD bn in Oct 2007 and a record low of 30.000 USD mn in Nov 1980. United States Gross Purchases by Foreigners: Asia: US Corp Bonds 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.Z037: Foreign Purchases and Sales in Long Term Securities.

United States FFL: BM: NCDs & S.T Securities: Foreign Inst. & Foreign Banks data was reported at 704.000 USD mn in May 2018. This records a decrease from the previous number of 816.000 USD mn for Apr 2018. United States FFL: BM: NCDs & S.T Securities: Foreign Inst. & Foreign Banks data is updated monthly, averaging 715.500 USD mn from Feb 2003 (Median) to May 2018, with 184 observations. The data reached an all-time high of 6.657 USD bn in Sep 2004 and a record low of 55.000 USD mn in Jul 2010. United States FFL: BM: NCDs & S.T Securities: Foreign Inst. & Foreign Banks 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.KA024: US Financial Firms Liabilities to Foreigner.

Large Dom Banks: Net Due to Related Foreign Offices data was reported at -195.629 USD bn in Jun 2019. This records an increase from the previous number of -201.882 USD bn for May 2019. Large Dom Banks: Net Due to Related Foreign Offices data is updated monthly, averaging 69.495 USD bn from Jun 2004 (Median) to Jun 2019, with 181 observations. The data reached an all-time high of 471.070 USD bn in Jan 2009 and a record low of -201.882 USD bn in May 2019. Large Dom Banks: Net Due to Related Foreign Offices 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.KB035: Balance Sheet: Commercial Banks: Large Domestic Chartered Banks: Monthly.