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Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people -- that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.
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TwitterIn the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.
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License information was derived automatically
Context
The dataset tabulates the Two Buttes population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Two Buttes. The dataset can be utilized to understand the population distribution of Two Buttes by age. For example, using this dataset, we can identify the largest age group in Two Buttes.
Key observations
The largest age group in Two Buttes, CO was for the group of age 70-74 years with a population of 17 (53.12%), according to the 2021 American Community Survey. At the same time, the smallest age group in Two Buttes, CO was the 0-4 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Two Buttes Population by Age. You can refer the same here
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TwitterThe average American household consisted of 2.51 people in 2023.
Households in the U.S.
As shown in the statistic, the number of people per household has decreased over the past decades.
The U.S. Census Bureau defines a household as follows: “a household includes all the persons who occupy a housing unit as their usual place of residence. A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live and eat separately from any other persons in the building and which have direct access from outside the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated persons who share living arrangements. (People not living in households are classified as living in group quarters.).”
The population of the United States has been growing steadily for decades. Since 1960, the number of households more than doubled from 53 million to over 131 million households in 2023.
Most of these households, about 34 percent, are two-person households. The distribution of U.S. households has changed over the years though. The percentage of single-person households has been on the rise since 1970 and made up the second largest proportion of households in the U.S. in 2022, at 28.88 percent.
In concordance with the rise of single-person households, the percentage of family households with own children living in the household has declined since 1970 from 56 percent to 40.26 percent in 2022.
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TwitterPopulation and Housing data for Census Tracts within the State of Montana was compiled from the PL 94-171 Redistricting Summary files released by the U.S. Census Bureau for the 2020 Decennial Census. This data set was created by the Montana Department of Commerce for use by the citizens of Montana and the general public. TIGER shapefiles were joined to the tabular summary file data to create this data set. A subset of variables from the release were selected for this dataset. A description of each variable and calculations are provided here.
VINTAGE - Decennial Census vintage year - Calculation
SUMLEV - Geography summary level - Calculation
GEOID - Geography ID - Calculation
NAME - Geography Name - Calculation
AREALAND - Area of land in square meters - Calculation
AREAWATR - Area of water in square meters - Calculation
INTPTLAT - Geography point latitude - Calculation
INTPTLON - Geography point longitude - Calculation
POPTOT - Population Total - Calculation P0010001
POPPCAP - Population per square mile - Calculation P0010001 / (AREALAND / 2589988.110336)
POPWH - Population White alone - Calculation P0010003
POPBL - Population Black alone - Calculation P0010004
POPAI - Population American Indian or Alaska Native alone - Calculation P0010005
POPAS - Population Asian alone - Calculation P0010006
POPNH - Population Native Hawaiian or Pacific Islander alone - Calculation P0010007
POPOT - Population Some other Race alone - Calculation P0010008
POP2MO - Population 2 or more races - Calculation P0010009
POPWHPCT - Population White alone percent - Calculation P0010003 / P0010001 * 100
POPBLPCT - Population Black alone percent - Calculation P0010004 / P0010001 * 100
POPAIPCT - Population American Indian or Alaska Native alone percent - Calculation P0010005 / P0010001 * 100
POPASPCT - Population Asian alone percent - Calculation P0010006 / P0010001 * 100
POPNHPCT - Population Native Hawaiian or Pacific Islander alone percent - Calculation P0010007 / P0010001 * 100
POPOTPCT - Population Some other Race alone percent - Calculation P0010008 / P0010001 * 100
POP2MOPCT - Population 2 or more races percent - Calculation P0010009 / P0010001 * 100
POPWHC - Population White alone or in combination - Calculation P0010003+ P00100011+ P00100012+ P00100013+ P00100014+ P00100015+ P0010027+ P0010028+ P0010029+ P00100030+ P00100031+ P00100032+ P00100033+ P00100034+ P00100035+ P00100036+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100054+ P00100055+ P00100056+ P00100057+ P00100064+ P00100065+ P00100066+ P00100067+ P00100068+ P00100071
POPBLC - Population Black alone or in combination - Calculation P0010004+ P00100011+ P00100016+ P00100017+ P00100018+ P00100019+ P0010027+ P0010028+ P0010029+ P00100030+ P00100037+ P00100038+ P00100039+ P00100040+ P00100041+ P00100042+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100058+ P00100059+ P00100060+ P00100061+ P00100064+ P00100065+ P00100066+ P00100067+ P00100069+ P00100071
POPAIC - Population American Indian or Alaska Native alone or in combination - Calculation P0010005+ P00100012+ P00100016+ P0010020+ P0010021+ P0010022+ P0010027+ P00100031+ P00100032+ P00100033+ P00100037+ P00100038+ P00100039+ P00100043+ P00100044+ P00100045+ P00100048+ P00100049+ P00100050+ P00100054+ P00100055+ P00100056+ P00100058+ P00100059+ P00100060+ P00100062+ P00100064+ P00100065+ P00100066+ P00100068+ P00100069+ P00100071
POPASC - Population Asian alone or in combination - Calculation P0010006+ P00100013+ P00100017+ P0010020+ P0010023+ P0010024+ P0010028+ P00100031+ P00100034+ P00100035+ P00100037+ P00100040+ P00100041+ P00100043+ P00100044+ P00100046+ P00100048+ P00100051+ P00100052+ P00100054+ P00100055+ P00100057+ P00100058+ P00100059+ P00100061+ P00100062+ P00100064+ P00100065+ P00100067+ P00100068+ P00100069+ P00100071
POPNHC - Population Native Hawaiian or Pacific Islander alone or in combination - Calculation P0010007+ P00100014+ P00100018+ P0010021+ P0010023+ P0010025+ P0010029+ P00100032+ P00100034+ P00100036+ P00100038+ P00100040+ P00100042+ P00100043+ P00100045+ P00100046+ P00100049+ P00100051+ P00100053+ P00100054+ P00100056+ P00100057+ P00100058+ P00100060+ P00100061+ P00100062+ P00100064+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071
POPOTC - Population Some Other Race alone or in combination - Calculation P0010008+ P00100015+ P00100019+ P0010022+ P0010024+ P0010025+ P00100030+ P00100033+ P00100035+ P00100036+ P00100039+ P00100041+ P00100042+ P00100044+ P00100045+ P00100046+ P00100050+ P00100052+ P00100053+ P00100055+ P00100056+ P00100057+ P00100059+ P00100060+ P00100061+ P00100062+ P00100065+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071
POPWHCPCT - Population White alone or in combination percent - Calculation (P0010003+ P00100011+ P00100012+ P00100013+ P00100014+ P00100015+ P0010027+ P0010028+ P0010029+ P00100030+ P00100031+ P00100032+ P00100033+ P00100034+ P00100035+ P00100036+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100054+ P00100055+ P00100056+ P00100057+ P00100064+ P00100065+ P00100066+ P00100067+ P00100068+ P00100071)/ P0010001 * 100
POPBLCPCT - Population Black alone or in combination percent - Calculation (P0010004+ P00100011+ P00100016+ P00100017+ P00100018+ P00100019+ P0010027+ P0010028+ P0010029+ P00100030+ P00100037+ P00100038+ P00100039+ P00100040+ P00100041+ P00100042+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100058+ P00100059+ P00100060+ P00100061+ P00100064+ P00100065+ P00100066+ P00100067+ P00100069+ P00100071)/ P0010001 * 100
POPAICPCT - Population American Indian or Alaska Native alone or in combination percent - Calculation (P0010005+ P00100012+ P00100016+ P0010020+ P0010021+ P0010022+ P0010027+ P00100031+ P00100032+ P00100033+ P00100037+ P00100038+ P00100039+ P00100043+ P00100044+ P00100045+ P00100048+ P00100049+ P00100050+ P00100054+ P00100055+ P00100056+ P00100058+ P00100059+ P00100060+ P00100062+ P00100064+ P00100065+ P00100066+ P00100068+ P00100069+ P00100071)/ P0010001 * 100
POPASCPCT - Population Asian alone or in combination percent - Calculation (P0010006+ P00100013+ P00100017+ P0010020+ P0010023+ P0010024+ P0010028+ P00100031+ P00100034+ P00100035+ P00100037+ P00100040+ P00100041+ P00100043+ P00100044+ P00100046+ P00100048+ P00100051+ P00100052+ P00100054+ P00100055+ P00100057+ P00100058+ P00100059+ P00100061+ P00100062+ P00100064+ P00100065+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100
POPNHCPCT - Population Native Hawaiian or Pacific Islander alone or in combination percent - Calculation (P0010007+ P00100014+ P00100018+ P0010021+ P0010023+ P0010025+ P0010029+ P00100032+ P00100034+ P00100036+ P00100038+ P00100040+ P00100042+ P00100043+ P00100045+ P00100046+ P00100049+ P00100051+ P00100053+ P00100054+ P00100056+ P00100057+ P00100058+ P00100060+ P00100061+ P00100062+ P00100064+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100
POPOTCPCT - Population Some Other Race alone or in combination percent - Calculation (P0010008+ P00100015+ P00100019+ P0010022+ P0010024+ P0010025+ P00100030+ P00100033+ P00100035+ P00100036+ P00100039+ P00100041+ P00100042+ P00100044+ P00100045+ P00100046+ P00100050+ P00100052+ P00100053+ P00100055+ P00100056+ P00100057+ P00100059+ P00100060+ P00100061+ P00100062+ P00100065+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100
POPHSP - Population Hispanic - Calculation P0020002
POPNHSP - Population Non-Hispanic - Calculation P0020003
POPHSPPCT - Population Hispanic percent - Calculation P0020002 / P0010001 * 100
POPNHSPPCT - Population Non-Hispanic percent - Calculation P0020003 / P0010001 * 100
POP18OV - Population 18 years and over - Calculation P0030001
POP18OVPCT - Population 18 years and over percent - Calculation P0030001 / P0010001 * 100
HUTOT - Housing Units Total - Calculation H0010001
HUOCC - Housing Units Occupied - Calculation H0010002
HUVAC - Housing Units Vacant - Calculation H0010003
HUOCCPCT - Housing Units Occupied percent - Calculation H0010002 / H0010001 * 100
HUVACPCT - Housing Units Vacant percent - Calculation H0010003 / H0010001 * 100
POPGQ - Population Group Quarters - Calculation P0050001
POPGQIN - Population Group Quarters - Institutionalized - Calculation P0050002
POPGQNI - Population Group Quarters - Non-Institutionalized - Calculation P0050007
POPGQPCT - Population Group Quarters percent - Calculation P0050001 / P0010001 * 100
POPGQINPCT - Population Group Quarters - Institutionalized percent - Calculation P0050002 / P0010001 * 100
POPGQNIPCT - Population Group Quarters - Non-Institutionalized percent - Calculation P0050007 / P0010001 * 100
POPTOT2010 - Population Total 2010 - Calculation
POPCHG - Population Change from 2010 to 2020 - Calculation
POPCHGPCT - Population Percent Change from 2010 to 2020 - Calculation
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Two Rivers population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Two Rivers. The dataset can be utilized to understand the population distribution of Two Rivers by age. For example, using this dataset, we can identify the largest age group in Two Rivers.
Key observations
The largest age group in Two Rivers, WI was for the group of age 55 to 59 years years with a population of 975 (8.69%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Two Rivers, WI was the 85 years and over years with a population of 224 (2%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Two Rivers Population by Age. You can refer the same here
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TwitterSummary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people, that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR13265.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
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TwitterThe prevalence of being overweight among the U.S. population has risen gradually over the past few decades. From 2017 to 2018, around 16.1 percent of U.S. children and adolescents aged 2 to 19 years were overweight. This statistic illustrates the prevalence of being overweight among U.S. children and adolescents aged 2–19 years from 1971 to 2018.
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TwitterIn an impressive increase from years past, 40.1 percent of women in the United States had completed four years or more of college in 2024. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 37.1 percent of the U.S. male population having completed four years or more of college in 2024, up from 5.5 percent in 1940. 4- and 2-year colleges In the United States, college students are able to choose between attending a 2-year postsecondary program and a 4-year postsecondary program. Generally, attending a 2-year program results in an Associate’s Degree, and 4-year programs result in a Bachelor’s Degree. Many 2-year programs are designed so that attendees can transfer to a college or university offering a 4-year program upon completing their Associate’s. Completion of a 4-year program is the generally accepted standard for entry-level positions when looking for a job. Earnings after college Factors such as gender, degree achieved, and the level of postsecondary education can have an impact on employment and earnings later in life. Some Bachelor’s degrees continue to attract more male students than female, particularly in STEM fields, while liberal arts degrees such as education, languages and literatures, and communication tend to see higher female attendance. All of these factors have an impact on earnings after college, and despite nearly the same rate of attendance within the American population between males and females, men with a Bachelor’s Degree continue to have higher weekly earnings on average than their female counterparts.
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TwitterThe eight main blood types are A+, A-, B+, B-, O+, O-, AB+, and AB-. The most common blood type in the United States is O-positive, with around 38 percent of the population having this type of blood. However, blood type O-positive is more common in Latino-Americans than other ethnicities, with around 53 percent of Latino-Americans with this blood type, compared to 47 percent of African Americans and 37 percent of Caucasians. Blood donation The American Red Cross estimates that every two seconds someone in the United States needs blood or platelets, highlighting the importance of blood donation. It was estimated that in 2021, around 6.5 million people in the U.S. donated blood, with around 1.7 million of these people donating for the first time. Those with blood type O-negative are universal blood donors, meaning their blood can be transfused for any blood type. Therefore, this blood type is the most requested by hospitals. However, only about seven percent of the U.S. population has this blood type. Blood transfusion Blood transfusion is a routine procedure that involves adding donated blood to a patient’s body. There are many reasons why a patient may need a blood transfusion, including surgery, cancer treatment, severe injury, or chronic illness. In 2021, there were around 10.76 million blood transfusions in the United States. Most blood transfusions in the United States occur in an inpatient medicine setting, while critical care accounts for the second highest number of transfusions.
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TwitterThis statistic shows the percentage of the U.S. population with e2,e3 and e4 forms of the Apolipoprotein E(APOE) gene. The e2/e2 combination of the Apolipoprotein E gene is present in *** % of the population in Unites States as of 2016. People with one or two copies of e4 are at higher risk developing Alzheimer's.
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Abstract (en): The Public Use Microdata Samples (PUMS) contain person- and household-level information from the "long-form" questionnaires distributed to a sample of the population enumerated in the 1980 Census. This data collection, containing 5-percent data, identifies every state, county groups, and most individual counties with 100,000 or more inhabitants (350 in all). In many cases, individual cities or groups of places with 100,000 or more inhabitants are also identified. Household-level variables include housing tenure, year structure was built, number and types of rooms in dwelling, plumbing facilities, heating equipment, taxes and mortgage costs, number of children, and household and family income. The person record contains demographic items such as sex, age, marital status, race, Spanish origin, income, occupation, transportation to work, and education. All persons and housing units in the United States and Puerto Rico. For this data collection, the full 1980 Census sample that received the "long-form" questionnaire (19.4 percent of all households) was sampled again through a stratified systematic selection procedure with probability proportional to a measure of size. This 5-percent sample, i.e., 5 households for every 100 households in the nation, includes over one-fourth of the households that received the long-form questionnaire. 2006-01-12 All files were removed from dataset 81 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 80 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 81 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 80 and flagged as study-level files, so that they will accompany all downloads.1997-08-25 Part 72, Puerto Rico data, has been added to the collection, as well as supplemental documentation for Puerto Rico in the form of a separate PDF file. The household and person records in each hierarchical data file have logical record lengths of 193 characters, but the number of records varies with each file.The record layout for Part 72, Puerto Rico, is different from the state datasets. Refer to the supplemental documentation for this part.The codebook is available in hardcopy form only, while the Puerto Rico supplemental documentation is provided as a Portable Document Format (PDF) file.
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License information was derived automatically
Context
The dataset tabulates the Two Creeks town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Two Creeks town. The dataset can be utilized to understand the population distribution of Two Creeks town by age. For example, using this dataset, we can identify the largest age group in Two Creeks town.
Key observations
The largest age group in Two Creeks, Wisconsin was for the group of age 15 to 19 years years with a population of 44 (11.58%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Two Creeks, Wisconsin was the 85 years and over years with a population of 2 (0.53%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Two Creeks town Population by Age. You can refer the same here
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Derived from the Census 2000 100-percent data, this file contains Table PCT37 (household population by sex and age), which is tabulated for every geographic unit represented in the data. PCT37 looks identical to Table PCT5 in Census 2000 Summary File 2. The only difference between PCT37 and PCT5 is that PCT37 was tallied according to the race, Hispanic or Latino origin, or American Indian or Alaska Native tribe of the person, whereas PCT5 was tallied according to the race, Hispanic or Latino origin, or American Indian or Alaska Native tribe of the householder. The data contain one variable for each cell in PCT37 and additional variables with geographic information, and they cover the geographic levels of observation (known as "summary levels" in the Census Bureau's nomenclature) shown in Summary File 2. Within each summary level, PCT37 can be iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. However, the presentation of PCT37 for any of the 250 population groups is subject to a population threshold of 100 or more people. That is, if there are fewer than 100 people in a specific population group in a specific geographic area, then PCT37 is not iterated for the group in that area. A separate data file is supplied for each of the 76-239 population groups shown in each state, the District of Columbia, and Puerto Rico. The collection is supplied in 54 ZIP archives. There is a separate ZIP file for each state, the District of Columbia, and Puerto Rico, and for the convenience of those who need all of the data, a separate ZIP archive with all 7,841 data files. The codebook and other documentation constitute the last ZIP archive.
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Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people, that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/13248/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13248/terms
Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner occupied or renter occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people. That is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/13279/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13279/terms
Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people, that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Two Rivers town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Two Rivers town. The dataset can be utilized to understand the population distribution of Two Rivers town by age. For example, using this dataset, we can identify the largest age group in Two Rivers town.
Key observations
The largest age group in Two Rivers Town, Wisconsin was for the group of age 60-64 years with a population of 261 (16.21%), according to the 2021 American Community Survey. At the same time, the smallest age group in Two Rivers Town, Wisconsin was the 30-34 years with a population of 31 (1.93%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Two Rivers town Population by Age. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Two Harbors population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Two Harbors. The dataset can be utilized to understand the population distribution of Two Harbors by age. For example, using this dataset, we can identify the largest age group in Two Harbors.
Key observations
The largest age group in Two Harbors, MN was for the group of age 40 to 44 years years with a population of 310 (8.56%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Two Harbors, MN was the 75 to 79 years years with a population of 109 (3.01%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Two Harbors Population by Age. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Two Rivers town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Two Rivers town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2022, the population of Two Rivers town was 1,676, a 0.30% decrease year-by-year from 2021. Previously, in 2021, Two Rivers town population was 1,681, an increase of 0.48% compared to a population of 1,673 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Two Rivers town decreased by 251. In this period, the peak population was 1,928 in the year 2001. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Two Rivers town Population by Year. You can refer the same here
Facebook
Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/13288/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13288/terms
Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people -- that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.