About this dataset

Context

The dataset tabulates the South Dakota 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 South Dakota 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 2024, the population of South Dakota was 924,669, a 0.69% increase year-by-year from 2023. Previously, in 2023, South Dakota population was 918,305, an increase of 0.94% compared to a population of 909,723 in 2022. Over the last 20 plus years, between 2000 and 2024, population of South Dakota increased by 168,962. In this period, the peak population was 924,669 in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2024

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2024)
• Population: The population for the specific year for the South Dakota is shown in this column.
• Year on Year Change: This column displays the change in South Dakota population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 South Dakota Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the North Dakota population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of North Dakota.

Content

The dataset constitues the following two datasets across these two themes

• North Dakota Population Breakdown by Gender
• North Dakota Population Breakdown by Gender and Age

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/.

Chart and table of population level and growth rate for the state of North Dakota from 1900 to 2024.

This report summarizes the Waterfowl Breeding Population and Habitat Survey for North and South Dakota during 2000. The primary purpose of the survey is to provide information on spring population size and trajectory for certain North American duck species. Survey methods, habitat and weather conditions, breeding population indices, and tables of population estimates are provided.

This report summarizes the Waterfowl Breeding Population and Habitat Survey for North and South Dakota during 1991. The primary purpose of the survey is to provide information on spring population size and trajectory for certain North American duck species. Survey methods, habitat and weather conditions, breeding population indices, and tables of population estimates are provided.

Populations of North American river otters (Lontra canadensis) declined throughout large portions of the continent during the early 1900s due to habitat degradation and unregulated trapping. River otters had been extirpated in North Dakota (ND), but the Red River Valley has since been recolonized, with potential source populations including the neighboring states of Minnesota or South Dakota, or the Canadian province of Manitoba (MB). We genotyped 9 microsatellite loci in 121 samples to determine the source population of river otters in the Red River Valley of ND, as well as to assess population structure and diversity of river otters in central North America. Overall, genetic diversity was high, with an average observed heterozygosity of 0.58. Genetic differentiation was low (F ST < 0.05) between river otters in ND and those of Minnesota, suggesting that eastern ND was recolonized by river otters from Minnesota. River otters from MB were genetically distinct from all other sampled p...

This U.S. Geological Survey (USGS) Data Release provides data to estimate water use associated with continuous oil and gas development in the Williston Basin during 1980-2017. Data included: 1. Data records from the national hydraulic fracturing chemical registry, FracFocus, including the state, county, latitude and longitude of each well, and the year and volume of water used for hydraulic fracturing for the years 2010-2017 in Montana and North Dakota. 2. IHS Markit (TM) data reported in 2018 including the number of wells used for hydraulic fracturing treatments; the volume of oil, gas and water produced; well counts for produced oil, gas, and water. 3. Montana Department of Natural Resources and Conservation (MTDNRC) water permit records associated with oil and gas development including the county, source type, use type, and volume of water use reported for the years 2012-2017. 4. North Dakota Industrial Commission (NDIC) records of individual well permits including county, latitude, longitude, depth of casings, number of sacks of cement used for casings, volume of wastewater injected or disposed, volume of water, oil and gas produced, and the volume of water used for hydraulic fracturing stimulation for the years 1980-2017. 5. North Dakota State Water Commission (NDSWC) records of individual water permits including the county, latitude, longitude, source type, use type, and volume of water use reported, and allocations allowed for the years 1980-2017. 6. Annual population estimates by county for Montana, North Dakota, and South Dakota for the years 1980-2017 from the United States Census Bureau's (USCB) Population Estimates Program. 7. Spatially interpolated monthly total precipitation and average monthly daily minimum, maximum, and mean air temperature from the PRISM Climate Group for the conterminous United States for the years 1980-2017 at a 4 km resolution. First posted September 30, 2019 Revised December 17, 2019, ver.2.0 Revised October 18, 2022, ver. 3.0

The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census and beyond, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

In this time period, the Hispanic population of North Dakota increased by 414 percent, while the Hispanic population of South Dakota increased by 360 percent, the two highest growths in the United States. In 2023, California, Texas, and Florida registered the largest Hispanic or Latino population in the U.S.

This data collection contains extracts of the original DUALabs Special Fifth Count ED/BG Summary Tapes. They are comprised of limited demographic and socioeconomic variables for 27 states in the continental United States. Data are provided at the county, minor civil division, enumeration district, and block group levels for total population and Spanish heritage population for the following states: Minnesota, Nevada, Wyoming, Indiana, Kansas, Nebraska, Oklahoma, South Dakota, Colorado, Arizona, Utah, North Dakota, Montana, Idaho, Missouri, Washington, Iowa, Louisiana, Arkansas, Ohio, Michigan, Wisconsin, Illinois, Oregon, Texas, New Mexico, and California. Demographic variables provide information on race, age, sex, country and place of origin, income, and family status and size. The data were obtained by ICPSR from the National Chicano Research Network, Survey Research Center, Institute for Social Research, University of Michigan.

This report summarizes the Waterfowl Breeding Population and Habitat Survey for North and South Dakota during 1980. The primary purpose of the survey is to provide information on spring population size and trajectory for certain North American duck species. Survey methods, habitat and weather conditions, breeding population indices, and tables of population estimates are provided.

Functioning general-purpose governmental units were the focus of this dataset. This aggregate data collection includes the name of each governmental unit, per capita income in 1979, total population as of April 1, 1980, per capita income estimates for 1981, and July 1, 1982, population estimates. Information is included for all counties, incorporated places, and functioning minor civil divisions (MCDs) in Connecticut, Illinois, Indiana, Kansas, Maine, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Vermont, and Wisconsin.

These data are part of a series of estimates developed to provide updates of the data elements in Federal revenue sharing allocations under the State and local Fiscal Assistance Act of 1972.Each file presents current estimates of the population and per capita money income for selected areas in each state.Areas included are all counties and incorporated places plus active minor civil divisions -- commonly towns in New England, New York, and Wisconsin, or townships in other parts of the United States. (In certain midwestern States, i.e. Illinois, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota, some counties have active minor civil divisions while others do not). The data pertain to irregular dates and periods from 1969 on

This study contains datasets not included in the ICPSR release of Census of Population and Housing, 1980 STF 4A (ICPSR 8282): Alaska, Colorado, Connecticut, Iowa, Maine Montana, Nebraska, New Hampshire, North Dakota, South Carolina, South Dakota, Vermont, and Wyoming. Geography: States, SCSA's, SMSA's, UA's, counties, MCD's or CCD's, places of 1,000 or more population, American Indian reservations and their county components, and Alaska Native villages and their county components.

Functioning general-purpose governmental units were the focus of this dataset. This aggregate data collection includes the name of each governmental unit, per capita income in 1979, total population as of April 1, 1980, per capita income estimates for 1981, and July 1, 1982, population estimates. Information is included for all counties, incorporated places, and functioning minor civil divisions (MCDs) in Connecticut, Illinois, Indiana, Kansas, Maine, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Vermont, and Wisconsin. (Source: ICPSR, retrieved 06/28/2011)

Greater sage-grouse population components devrived using an 18-km maximum connection distance. Analysis was conducted using the CONEFOR SENSINODE 2.2 software package and this dataset was developed from lek data obtained from the state wildlife agencies. Components containing < 5 leks have been removed in order to protect the location of single or small groups of leks.

This report summarizes the Waterfowl Breeding Population and Habitat Survey for North and South Dakota during 1998. The primary purpose of the survey is to provide information on spring population size and trajectory for certain North American duck species. Survey methods, habitat and weather conditions, breeding population indices, and tables of population estimates are provided.

In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

Prehistoric climate and landscape features play large roles structuring wildlife populations. The amphibians of the northern Great Plains of North America present an opportunity to investigate how these factors affect colonization, migration, and current population genetic structure. This study used 11 microsatellite loci to genotype 1230 northern leopard frogs (Rana pipiens) from 41 wetlands (30 samples/wetland) across North Dakota. Genetic structure of the sampled frogs was evaluated using Bayesian and multivariate clustering methods. All analyses produced concordant results, identifying a major east-west split between two R. pipiens population clusters separated by the Missouri River. Sub-structuring within the two major identified population clusters was also found. Spatial principal components analysis (sPCA) and variance partitioning analysis identified distance, river basins, and the Missouri River as the most important landscape factors differentiating R. pipiens populations across the state. Bayesian reconstruction of coalescence times suggested the major east-west split occurred ~13-18 kya during a period of glacial retreat in the northern Great Plains and sub-structuring largely occurred ~5-11 kya during a period of extreme drought cycles. A range-wide species distribution model (SDM) for R. pipiens was developed and applied to prehistoric climate conditions during the Last Glacial Maximum (21 kya) and the mid-Holocene (6 kya) from the CCSM4 climate model to identify potential refugia. The SDM indicated potential refugia existed in South Dakota or further south in Nebraska. The ancestral populations of R. pipiens in North Dakota may have inhabited these refugia, but more sampling outside the state is needed to reconstruct the route of colonization. Using microsatellite genotype data, this study determined that colonization from glacial refugia, drought dynamics in the northern Great Plains, and major rivers acting as barriers to gene flow were the defining forces shaping the regional population structure of R. pipiens in North Dakota.

This bibliography lists as many fisheries biology and related references as possible from North Dakota and South Dakota waters for use by fishery biologists. Selected references from contiguous states sharing river basins with the Dakotas are included. Studies in the Missouri River downstream from Gavins Point Dam are also included. In addition to published fishery and related aquatic studies, attempts were made to list all dissertations and Masters theses in these fields.