About this dataset

Context

The dataset tabulates the population of Alaska by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Alaska. The dataset can be utilized to understand the population distribution of Alaska by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Alaska. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Alaska.

Key observations

Largest age group (population): Male # 30-34 years (30,725) | Female # 30-34 years (27,517). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Alaska population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Alaska is shown in the following column.
• Population (Female): The female population in the Alaska is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Alaska for each age group.

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 Alaska Population by Gender. You can refer the same here

Alaska had the highest male to female ratio in the United States in 2020, with ***** men for every 100 women. The male to female ratio was lowest in the District of Columbia, with **** men for every 100 women. The final frontier Alaska, which was purchased from the Russian Empire in 1867, is the largest state in the U.S. and one of the newest states, having been admitted to the U.S. in 1959. Although oil production dominates the economy, Alaska has a very high poverty rate and consistently has the highest unemployment rate in the country. It’s a man’s world Alaska is one of 10 states in the U.S. that has more men than women. The male to female ratio in the United States as a whole is about even, but as the population ages, there tend to be more females than males. Even though the sex ratio in the U.S. is almost one to one, a little more than ** percent of all females participated in the labor force in 2021, compared with **** percent of men.

About this dataset

Context

The dataset tabulates the data for the Alaska population pyramid, which represents the Alaska population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Alaska, is 30.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Alaska, is 20.1.
• Total dependency ratio for Alaska is 50.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Alaska is 5.0.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Alaska population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Alaska for the selected age group is shown in the following column.
• Population (Female): The female population in the Alaska for the selected age group is shown in the following column.
• Total Population: The total population of the Alaska for the selected age group is shown in the following column.

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 Alaska Population by Age. You can refer the same here

This statistic shows the number of male and female American Indian and Native Alaskan undergraduate students enrolled in degree-granting postsecondary institutions in the United States from 1976 to 2010. In 2010, there were 107,000 female American Indian and Native Alaskan students enrolled in U.S. universities, as compared to 72,000 Asian and Pacific Islander males.

This study examines the prevalence of violence against American Indian and Alaska Native women and men, using a large nationally representative sample from the National Intimate Partner and Sexual Violence Survey (NISVS). More specifically, it provides estimates of sexual violence, physical violence by intimate partners, stalking, and psychological aggression by intimate partners. It also provides estimates of interracial and intraracial victimizations and briefly examines the impact of violence. This study is based on two of the NISVS samples that were included in the 2010 data collection effort --the general population sample and the American Indian and Alaska Native oversample. This American Indian and Alaska Native oversample was collected from geographical areas (telephone exchanges) where at least 50% of the population identifies themselves as American Indian or Alaska Native. To increase the generalizability of the American Indian and Alaska Native sample (and to add interviews conducted by cell phone), a new "combined" sample was created by including (a) all respondents in the American Indian and Alaska Native oversample and (b) 677 respondents in the general population sample who identified themselves as American Indian or Alaska Native. By combining these samples, a new sample was obtained that is large enough to produce reliable and valid estimates for all women and men in the United States who identify themselves as American Indian or Alaska Native. For a more exact discussion of the sample, see the NIJ Technical Report. The combined sample includes 2,473 women and 1,505 men who identified themselves as American Indian or Alaska Native. Results from the combined American Indian and Alaska Native sample were compared to results from the sample of respondents in the general population sample who identified themselves as non-Hispanic White alone. The comparison sample includes 7,646 women and 6,050 men who identified themselves as non-Hispanic White alone. There are 5 data files included with this study. Dataset 1 (General Population Raw Data) contains 18,957 cases and 26,114 variables. Dataset 2 (American Indian and Alaska Native (AIAN) Oversample Raw Data) contains 3,612 cases and 22,932 variables. Dataset 3 (Respondent-level Data) contains 21,378 cases and 493 variables. Dataset 4 (Perpetrator-level Data) contains 51,535 cases and 446 variables. Dataset 5 (Weights File) contains 3,978 cases and 9 variables.

This dataset provides information on human population by census area in Alaska, and migration between census areas, using the Permanent Fund Dividend (PFD) applications to determine area of residence. Using the PFD as the source for this information has the advantage that the data have broad in-state coverage at an annual level, since most (~90% in 2017) Alaska residents submit applications. These data have the disadvantage that they may lag on new migrants from outside the state, however, because new migrants aren’t eligible for the PFD until they’ve lived in Alaska for one calendar year. Additionally, PFD data do not capture people who don’t live here long enough to qualify for a PFD. This archival record contains an excel file of migration data broken down by census area, age, and gender, downloaded from the State of Alaska Department of Labor and Workforce Development website (accessed 2019-02-20, http://live.laborstats.alaska.gov/pop/migration/PFDMigrationByAgeBySexBCA.xls). More information on the PFD-based migration data can be found here: http://live.laborstats.alaska.gov/pop/migration.cfm. Also contained in this record is an RMarkdown document which accesses the archived excel file, reformats the file, and plots migration information for Cook Inlet boroughs.

Financial overview and grant giving statistics of Alaska Native Women-S Resource Center

About this dataset

Context

The dataset tabulates the population of Alaska township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Alaska township. The dataset can be utilized to understand the population distribution of Alaska township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Alaska township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Alaska township.

Key observations

Largest age group (population): Male # 35-39 years (19) | Female # 5-9 years (38). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Alaska township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Alaska township is shown in the following column.
• Population (Female): The female population in the Alaska township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Alaska township for each age group.

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 Alaska township Population by Gender. You can refer the same here

National Center for Veterans Analysis and Statistics (NCVAS) State Summary data for the state of Alaska in fiscal year 2021. Data includes VA facilities, VA expenditures, veteran population, VA health care & benefits, veteran population projections (age, sex, service, and ethnicity by year).State Summaries capture major facts about the Veteran population, including gender, age, population projections etc., and VA's presence in each state, including facilities and expenditures. The reports are produced by VA's National Center for Veterans Analysis and Statistics.

The American Community Survey (ACS) replaced the United States (US) Census Long Form Survey after 2000 as the only systematic source of community-level information on the American Indian and Alaska Native (AIAN) population living in rural Alaska communities. We define rural Alaska as the region corresponding to Census Public Use Microdata Area (PUMA) 400, known also as the Subsistence Alaska PUMA. The ACS is an annual survey. However, due to small sample sizes, the ACS publishes estimates for places and census areas/boroughs only as five-year moving averages. Even with the averaging over five years, estimates of educational attainment and language use vary substantially over time in many communities, and high margins of error make it difficult to distinguish communities from each other. Using individual Census and ACS records accessed through the Census Research Data Center program, we generated annual synthetic estimates of language use at home and two measures of educational attainment -- high school graduation and college degree -- based on logistic regressions estimated with data on individuals indicating AIAN identity, either alone or in combination with other races. The equations were estimated under the assumption that language and education change gradually at the community level, and that variations from year to year are associated with sample variation in basic characteristics of the population such as age and gender that can be benchmarked with precision to the 2000 and 2010 census counts. The synthetic estimates remove the variation associated with interannual survey age and gender variation, resulting in a smaller margin of error for the smoothed estimates than in the original sample means. They also include interpolated values for years 2001 through 2004 when no survey data were collected.

Financial overview and grant giving statistics of Alma-The Latin Association of Women in Alaska

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.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, 2016-2020 American Community Survey 5-Year Estimates.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..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 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.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.

A participatory evaluation was used to examine factors associated with the prevalence and incidence of violence against Ahtna (Alaska Native) women in the Copper River basin of Alaska. Eligibility for participation in the study was limited to adult women over the age of 17 who were Ahtna shareholders or descendents of Ahtna shareholders and who lived in one of eight Ahtna villages (Mentasta Lake, Chitina, Cantwell, Copper Center, Gulkana, Gakona, Tazlina, and Chistochina) in the Copper River Basin of Alaska. The Ahtna Corporation provided research staff with a list of 185 women who met the eligibiltiy criteria. The list from the Ahtna Corporation did not include individuals born after 1972 who had not yet inherited shares in the Ahtna Corporation. With the assistance of subjects and village officials, researchers utilized snowball sampling to identify female Ahtna descendents over the age of 17 within the region. These subjects were recruited through face-to-face contact with project staff. Each of the 185 women on the list of eligible participants that researchers received from the Ahtna Corporation was sent a personal letter in 2003 inviting her to participate in the study. Included in the letter was the interview consent form. A few weeks after mailing, research staff contacted those women who had responded to the mailing to review methods for completing the survey and begin scheduling interviews. Study participants completed the Main Victimization Survey (Part 1) (n = 109), and if the respondent reported a violent incident, a Detailed Physical Assault Incident Report (Part 2) (n = 186) was completed for each offender that had assaulted the survey respondent. All respondents were paid 25 dollars for their participation in the survey and all of the interviewers were female. The Main Victimization Survey (Part 1) includes variables about physical violence the respondent experienced as an adult, how many times the violence occured, and the relationship between the respondent and the offender. The survey also included questions about cultural identity, involvement in the community, and the respondent's living conditions. Demographic variables include marital status, employment, income, and alcohol use. Questions were also included to gather respondents' opinions on health and social services delivery to Ahtna women in the Copper River region. The Detailed Physical Assault Incident Report (Part 2) includes variables about the victim/offender relationship, the time and place of the victimization, the amount of physical harm done in the victimization, whether alcohol or other drugs were involved in the victimization, whether formal assistance (i.e., police, medical treatment) was sought, the victim's perceptions of and satisfaction with the formal system response, the reasons for reporting or not reporting the offense, and if the victim attempted to obtain shelter from further victimization.

This statistic represents the number of licensed young male and female drivers in Alaska in 2016, by age group. In that year, some ***** 18-year old females in Alaska were holders of a driving license.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This project set out to understand the specific contributions Alaska's village public safety officers (VPSOs) make to the criminal justice responses to violence committed against Alaska Native and American Indian women in Alaska's tribal communities. More specifically, the goal of this study was to empirically document and assess the impact Alaska's VPSO program has on the investigation and prosecution of those who commit acts of sexual and domestic violence against Alaska Native and American Indian women in Alaska's tribal communities. The data collected for this study were compiled from detailed case record reviews of a random sample of sexual assault, sexual abuse of a minor, and domestic violence incidents investigated by the Alaska State Troopers (AST) and closed between January 1, 2008 and December 31, 2011. Data pertaining to case-level (e.g., year and month of incident report and case closure, time to report) and incident-level (e.g., assault location, weapon use, assaultive behaviors) characteristics were collected, as were demographic data describing suspects, victims, and witnesses/third parties. The study also collected data detailing suspect and victim alcohol/drug use and intoxication, injuries sustained by victims, victim resistance strategies and behaviors, and victim disclosures, among other measures. Additional charging and case resolution (referral, prosecution, conviction) data were also compiled. Finally, the study collected detailed data on the activities and roles played by VPSOs in investigations, as well as additional follow-up activities and services provided to victims. In total, 683 sexual assault (SA) and sexual abuse of a minor (SAM) and 982 domestic violence (DV) case records were coded and analyzed. The study collections includes 6 Stata (.dta) files. The zip file includes 2013-VW-CX-0001_DV_CASE.dta (n=982; 127 variables), 2013-VW-CX-0001_DV_CHARGE.dta (n=3711; 23 variables), 2013-VW-CX-0001_DV_INDIV.dta (n=3747; 105 variables), 2013-VW-CX-0001_SA_CASE.dta (n=683; 133 variables), 2013-VW-CX-0001_SA_CHARGE.dta (n=1060; 24 variables), 2013-VW-CX-0001_SA_INDIV.dta (n=3140; 112 variables).

This statistic displays the total number of licensed drivers registered in Alaska in 2016, with a breakdown by gender. In that year, Alaska had approximately ******* female licensed drivers on the road.

Rates of syphilis in the United States are higher among men than women. This is true for every race and ethnicity, although the difference varies greatly. For example, among the Black population, there were around 62.3 cases of syphilis among men per 100,000 population in 2023 and only 18.8 cases per 100,000 population among women. On the other hand, rates of syphilis among American Indians/Alaska Natives were similarly high for both men and women with rates of 63.6 and 52.9 per 100,000 population, respectively. What is syphilis? Syphilis is a common and treatable sexually transmitted disease (STD). Anyone who is sexually active can contract syphilis, however men who have sex with only men accounted for slightly more cases than other groups in 2022. There are four stages of syphilis, and each stage has different signs and symptoms. The stages are primary, secondary, latent, and tertiary. Syphilis can be cured with antibiotics. How many people get syphilis each year? In 2022, there were around 207,255 cases of syphilis in the United States. This was the highest number of cases recorded since the 1950s. In comparison, in the year 2000, there were only around 31,618 cases. Like chlamydia and gonorrhea, rates of syphilis in the United States have increased over the past couple decades reaching 62 per 100,000 population in 2022. However, this rate is still far below the rate of 146 cases per 100,000 population recorded in 1950. Rates of syphilis in the U.S. are highest among people in their twenties and early thirties.

About this dataset

Context

The dataset tabulates the population of Fairbanks North Star Borough by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Fairbanks North Star Borough across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 54.31% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Fairbanks North Star Borough is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Fairbanks North Star Borough total 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 Fairbanks North Star Borough Population by Race & Ethnicity. You can refer the same here

To reduce respondent burden and improve data quality and timeliness, the Bureau of Justice Statistics (BJS) split the jail census into two parts: The Census of Jail Inmates was conducted with a reference date of June 30, 2005. The following spring it was followed by this enumeration, the Census of Jail Facilities, which collected data as of March 31, 2006. Previous jail enumerations were conducted in 1970 (ICPSR 7641), 1972 (ICPSR 7638), 1978 (ICPSR 7737), 1983 (ICPSR 8203), 1988 (ICPSR 9256), 1993 (ICPSR 6648), and 1999 (ICPSR 3318). The United States Census Bureau collected the data for the Bureau of Justice Statistics. The 2006 Census of Jail Facilities gathered data from all jail detention facilities holding inmates beyond arraignment, a period normally exceeding 72 hours. Jail facilities were operated by cities and counties, by private entities under contract to correctional authorities, and by the Federal Bureau of Prisons (BOP). Excluded from the census were physically separate temporary holding facilities such as drunk tanks and police lockups that do not hold persons after being formally charged in court. Also excluded were state-operated facilities in Connecticut, Delaware, Hawaii, Rhode Island, Vermont, and Alaska, which have combined jail-prison systems. Fifteen independently operated jails in Alaska were included in the Census. The census collected jurisdictional level information on the number of confined inmates; average daily population; number of separate jail facilities; renovation and building plans; court orders and consent decrees; staff by occupational category and race/ethnicity; jail programs; and costs of operation. The census also collected individual jail facility information on the purpose for which the jail held offenders; gender of the inmates authorized to house; functions, such as general adult population confinement, work release, and medical treatment; whether a separate temporary holding area or lockup was operated; rated capacity; number of confined inmates by gender and adult or juvenile status; year of original construction; and whether the facility ever had a major renovation.

About this dataset

Context

The dataset tabulates the population of North Pole by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for North Pole. The dataset can be utilized to understand the population distribution of North Pole by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in North Pole. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for North Pole.

Key observations

Largest age group (population): Male # 5-9 years (261) | Female # 30-34 years (183). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the North Pole population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the North Pole is shown in the following column.
• Population (Female): The female population in the North Pole is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in North Pole for each age group.

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 North Pole Population by Gender. You can refer the same here