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

Key observations

There is a slight majority of male population, with 52.5% 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 Alaska is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Alaska 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 Alaska Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Anchorage Municipality by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Anchorage Municipality. The dataset can be utilized to understand the population distribution of Anchorage Municipality by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Anchorage Municipality. 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 Anchorage Municipality.

Key observations

Largest age group (population): Male # 30-34 years (12,535) | Female # 30-34 years (12,071). 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 Anchorage Municipality population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Anchorage Municipality is shown in the following column.
• Population (Female): The female population in the Anchorage Municipality 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 Anchorage Municipality 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 Anchorage Municipality Population by Gender. You can refer the same here

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

About this dataset

Context

The dataset tabulates the population of Seward by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Seward. The dataset can be utilized to understand the population distribution of Seward by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Seward. 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 Seward.

Key observations

Largest age group (population): Male # 45-49 years (183) | Female # 10-14 years (162). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Seward population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Seward is shown in the following column.
• Population (Female): The female population in the Seward 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 Seward 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 Seward Population by Gender. You can refer the same here

During June, we perform ground-based composition counts to estimate calf production, recruitment, and adult sex ratio. We have radiocollared over 100 muskoxen in order to document seasonal shifts in distribution and habitat use, and to estimate survival and cause-specific mortality. Following the 1969 release, muskoxen increased rapidly in the Arctic Refuge, reaching a peak of approximately 400 individuals in 1986. This was followed by expansion of the population’s range into contiguous areas of north-central Alaska and northwestern Canada. We subsequently implemented cooperative surveys with the Alaska Department of Fish and Game (ADFG), Parks Canada, and Yukon Department of Environment to monitor the entire population. The number of muskoxen within the Refuge declined slightly, and then remained stable at about 325 from 1987 to 1998. We observed a precipitous decline in abundance of muskoxen within the Arctic Refuge beginning in 1999. In 2003, we estimated that fewer than 50 muskoxen occurred within Refuge boundaries. We attribute this decline to shifts in distribution, low calf recruitment, and decreased adult survival. In a recent cooperative study with ADFG (Reynolds et al. 2002), we determined that predation by grizzly bears was a significant and increasing source of mortality for muskoxen. The negative effect of predation on survival may be exacerbated by environmental conditions that limit access to forage, such as icing events and deep, persistent snows. We are continuing to monitor the status of this muskox population and investigate factors responsible for observed trends.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

description: Polar bear harvests in Alaska coastal villages from November 1980 to April 1982. Hunters from 13 villages killed polar bears during this period. The documented minimum polar bear harvest for 1980/81 and 1981/82 hunting seasons were 106 and 90, respectively. A minimum of 21 bears were harvested from January 1 to July 30, 1980 (ADF&G records) and have been included in the pooled sample of 217 killed bears. Of this total, 134 (61.8%) were bears for which complete sex and age information was obtained; 52 (23.9%) were bears for which adequate sex and/or age class information was obtained; and 31 (14.3%) were bears known to have been killed for which sex and age information was unknown. The sample of 134 known sex and age bears consisted of 27 percent litter members (cubs, yearlings, or 2-year olds), 31 percent females greater than 3 years of age, and 42 percent males greater than 3 years of age. The sex ratio was 81 (60.4%) males to 53 (39.6%) females. The sex ratio of bears captured from 1967-76 in a tagging study (Lentfer, 1977) was significantly different. The mean age of males and females was 7.3! 4.8 years. Male mean age was 5.8 3.9 years and female was 9.0 5.4 years. A significant inverse relationship was determined for harvested female cubs less than 3 years, female subadults, 4-5 years, and females age 6-10. A significant positive relationship was determined for harvested females 10 years or older, subadult males, and adult males 6 years or older. From January 1980 to April 1982 an average annual removal of 38 females occurred. This figure excluded 31 unknown sex and age bears. If the percentage of adult females of known sex and age bears is applied to the 31 excluded bears then the average annual female removal was 44 bears. Polar bears were harvested during each month of the year except September. Of 197 bears sampled, 123 (62.4%) were harvested during November, December, and January. Forty-five bears (22.8%) were harvested in October and November, primarily in the North Slope villages. Recent harvest chronology differs markedly from that of the sports hunting era when most bears were taken from February through April. Of the 124 hunters who killed 217 polar bear during 1980-82, 37 (29.8%) killed more than one bear; of these, 27 (73.8%) killed more than 2 bears. Snowmachines (89.5%) were the most common hunting transportation form used, small boats (6.8%) ranked second and other means accounted for the remainder of the harvest.; abstract: Polar bear harvests in Alaska coastal villages from November 1980 to April 1982. Hunters from 13 villages killed polar bears during this period. The documented minimum polar bear harvest for 1980/81 and 1981/82 hunting seasons were 106 and 90, respectively. A minimum of 21 bears were harvested from January 1 to July 30, 1980 (ADF&G records) and have been included in the pooled sample of 217 killed bears. Of this total, 134 (61.8%) were bears for which complete sex and age information was obtained; 52 (23.9%) were bears for which adequate sex and/or age class information was obtained; and 31 (14.3%) were bears known to have been killed for which sex and age information was unknown. The sample of 134 known sex and age bears consisted of 27 percent litter members (cubs, yearlings, or 2-year olds), 31 percent females greater than 3 years of age, and 42 percent males greater than 3 years of age. The sex ratio was 81 (60.4%) males to 53 (39.6%) females. The sex ratio of bears captured from 1967-76 in a tagging study (Lentfer, 1977) was significantly different. The mean age of males and females was 7.3! 4.8 years. Male mean age was 5.8 3.9 years and female was 9.0 5.4 years. A significant inverse relationship was determined for harvested female cubs less than 3 years, female subadults, 4-5 years, and females age 6-10. A significant positive relationship was determined for harvested females 10 years or older, subadult males, and adult males 6 years or older. From January 1980 to April 1982 an average annual removal of 38 females occurred. This figure excluded 31 unknown sex and age bears. If the percentage of adult females of known sex and age bears is applied to the 31 excluded bears then the average annual female removal was 44 bears. Polar bears were harvested during each month of the year except September. Of 197 bears sampled, 123 (62.4%) were harvested during November, December, and January. Forty-five bears (22.8%) were harvested in October and November, primarily in the North Slope villages. Recent harvest chronology differs markedly from that of the sports hunting era when most bears were taken from February through April. Of the 124 hunters who killed 217 polar bear during 1980-82, 37 (29.8%) killed more than one bear; of these, 27 (73.8%) killed more than 2 bears. Snowmachines (89.5%) were the most common hunting transportation form used, small boats (6.8%) ranked second and other means accounted for the remainder of the harvest.

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

Analysis of ‘Northeast muskox population sex and age composition summary for all areas (26A+B and 26C (Arctic NWR) in Alaska and northern Yukon), 1972-2011’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b38d1288-8483-4429-85ef-834fe7e1c2cb on 26 January 2022.

--- Dataset description provided by original source is as follows ---

During June, we perform ground-based composition counts to estimate calf production, recruitment, and adult sex ratio. We have radiocollared over 100 muskoxen in order to document seasonal shifts in distribution and habitat use, and to estimate survival and cause-specific mortality.

Following the 1969 release, muskoxen increased rapidly in the Arctic Refuge, reaching a peak of approximately 400 individuals in 1986. This was followed by expansion of the population’s range into contiguous areas of north-central Alaska and northwestern Canada. We subsequently implemented cooperative surveys with the Alaska Department of Fish and Game (ADFG), Parks Canada, and Yukon Department of Environment to monitor the entire population. The number of muskoxen within the Refuge declined slightly, and then remained stable at about 325 from 1987 to 1998.

We observed a precipitous decline in abundance of muskoxen within the Arctic Refuge beginning in 1999. In 2003, we estimated that fewer than 50 muskoxen occurred within Refuge boundaries. We attribute this decline to shifts in distribution, low calf recruitment, and decreased adult survival. In a recent cooperative study with ADFG (Reynolds et al. 2002), we determined that predation by grizzly bears was a significant and increasing source of mortality for muskoxen. The negative effect of predation on survival may be exacerbated by environmental conditions that limit access to forage, such as icing events and deep, persistent snows. We are continuing to monitor the status of this muskox population and investigate factors responsible for observed trends.

--- Original source retains full ownership of the source dataset ---

The U.S. Fish & Wildlife Service contracted a local individual to monitor the walrus harvest at Wales in 1984. The recorded harvest between 21 May and 30 June in Wales was 271 walruses. The magnitude of the harvest was greater than any of the preceding four years. The harvest was comprised of 90 adult males (33.2%), 132 adult females (48.8%) 12 calves (4.4%) and 37 adult unknown sex (13.6%). A 40:60 male to female sex ratio was exhibited in the harvest of known sex adults. The 1982 harvest was the only other year in the last five years when the harvest favored females. Approximately 16 man-hours/walrus were expanded based upon a sample of 35 hunting trips, 2146.5 man hours effort and retrieval of 134 walruses. Since some hunting effort was directed toward seals and waterfowl during the course of walrus hunting the catch per unit figures should be considered as inflated. A total of 15 hunting days occurred during the study period.

description: From 26 July to 24 September 2002, hourly counts were conducted from counting towers to estimate the escapement of coho salmon Oncorhynchus kisutch into the Ugashik lakes. Estimated escapement for the season was 17,730 coho salmon and daily escapement estimates ranged from -18 on 20 September to 1,494 on 25 August. A total of 66 coho salmon was sampled for biological data. Three age classes were identified; age 2.1 dominated the sample (71%), followed by age 1.1 (27%), and age 3.1 (2%). Estimated male to female ratio was 1.5:1 and mid-eye to fork lengths ranged from 452 to 663 mm. The estimated escapement of other Pacific salmon during the same time period was 21,270 sockeye salmon O. nerka, 912 chum salmon O. keta, 132 chinook salmon O. tshawytscha and 714 pink salmon O. gorbuscha.; abstract: From 26 July to 24 September 2002, hourly counts were conducted from counting towers to estimate the escapement of coho salmon Oncorhynchus kisutch into the Ugashik lakes. Estimated escapement for the season was 17,730 coho salmon and daily escapement estimates ranged from -18 on 20 September to 1,494 on 25 August. A total of 66 coho salmon was sampled for biological data. Three age classes were identified; age 2.1 dominated the sample (71%), followed by age 1.1 (27%), and age 3.1 (2%). Estimated male to female ratio was 1.5:1 and mid-eye to fork lengths ranged from 452 to 663 mm. The estimated escapement of other Pacific salmon during the same time period was 21,270 sockeye salmon O. nerka, 912 chum salmon O. keta, 132 chinook salmon O. tshawytscha and 714 pink salmon O. gorbuscha.

description: Following satellite telemetry and aerial survey work from 1993-1998, all or most of the global population of spectacled eiders (Somateria flscheri) is believed to winter together in the northern Bering Sea south of St. Lawrence Island, Alaska. We conducted an aerial survey in the northern Bering Sea on 1-2 April 2009 to describe the current distribution and abundance of the wintering population of spectacled eiders, as part of a project funded by the North Pacific Research Board to help model the effects of a proposed trawl fishery on the eiders and their critical wintering habitat. We surveyed a systematic grid pattern of parallel transects centered around recent location data from spectacled eiders instrumented with satellite transmitters, visually searching for all eider flocks among open leads in the sea ice that covered the search area. We recorded a visual estimate and GPS waypoint for each flock, and photographed most of the flocks obliquely using a GPS-linked high resolution digital 35mm camera. Results of the initial flight suggested more flocks east and north of the initial search area, so we spent a second day surveying additional transects in those areas. We recorded images of 79 flocks, which we later analyzed using image processing software with a counting/marking extension. We estimated 302,179 spectacled eiders from photographs and visual counts, and mapped the location of each flock using ARCGIS. Using a subset of images selected for resolution quality we estimated sex ratio (0.428 total females/total birds, 90%CI=0.413-0.443) and recruitment (0.052 hatch-year males per adult male, 90%CI=0.029-0.076). The survey was designed to be conducted as early as possible in March, however, inclement weather and a volcanic eruption delayed survey initiation until 1 April. The survey and analysis procedures were appropriate and effective, however satellite telemetry data later revealed that the population had already begun to move northeastward both within and from the survey area, thus we had missed the optimal survey window. This information reduced the strength of the data for population estimate, wintering distribution and recruitment ratio, though we believe the results for sex ratio are adequate and unbiased. We intend to repeat the survey in early- to mid-March, 2010.; abstract: Following satellite telemetry and aerial survey work from 1993-1998, all or most of the global population of spectacled eiders (Somateria flscheri) is believed to winter together in the northern Bering Sea south of St. Lawrence Island, Alaska. We conducted an aerial survey in the northern Bering Sea on 1-2 April 2009 to describe the current distribution and abundance of the wintering population of spectacled eiders, as part of a project funded by the North Pacific Research Board to help model the effects of a proposed trawl fishery on the eiders and their critical wintering habitat. We surveyed a systematic grid pattern of parallel transects centered around recent location data from spectacled eiders instrumented with satellite transmitters, visually searching for all eider flocks among open leads in the sea ice that covered the search area. We recorded a visual estimate and GPS waypoint for each flock, and photographed most of the flocks obliquely using a GPS-linked high resolution digital 35mm camera. Results of the initial flight suggested more flocks east and north of the initial search area, so we spent a second day surveying additional transects in those areas. We recorded images of 79 flocks, which we later analyzed using image processing software with a counting/marking extension. We estimated 302,179 spectacled eiders from photographs and visual counts, and mapped the location of each flock using ARCGIS. Using a subset of images selected for resolution quality we estimated sex ratio (0.428 total females/total birds, 90%CI=0.413-0.443) and recruitment (0.052 hatch-year males per adult male, 90%CI=0.029-0.076). The survey was designed to be conducted as early as possible in March, however, inclement weather and a volcanic eruption delayed survey initiation until 1 April. The survey and analysis procedures were appropriate and effective, however satellite telemetry data later revealed that the population had already begun to move northeastward both within and from the survey area, thus we had missed the optimal survey window. This information reduced the strength of the data for population estimate, wintering distribution and recruitment ratio, though we believe the results for sex ratio are adequate and unbiased. We intend to repeat the survey in early- to mid-March, 2010.

About this dataset

Context

The dataset tabulates the population of Wasilla by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Wasilla. The dataset can be utilized to understand the population distribution of Wasilla by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Wasilla. 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 Wasilla.

Key observations

Largest age group (population): Male # 25-29 years (472) | Female # 30-34 years (473). 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 Wasilla population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Wasilla is shown in the following column.
• Population (Female): The female population in the Wasilla 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 Wasilla 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 Wasilla Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Wrangell, AK population pyramid, which represents the Wrangell 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 Wrangell, AK, is 29.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Wrangell, AK, is 40.7.
• Total dependency ratio for Wrangell, AK is 70.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Wrangell, AK is 2.5.

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 Wrangell population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Wrangell for the selected age group is shown in the following column.
• Population (Female): The female population in the Wrangell for the selected age group is shown in the following column.
• Total Population: The total population of the Wrangell 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 Wrangell Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Alaska Township, Minnesota population pyramid, which represents the Alaska township 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 Township, Minnesota, is 85.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Alaska Township, Minnesota, is 40.5.
• Total dependency ratio for Alaska Township, Minnesota is 126.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Alaska Township, Minnesota is 2.5.

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 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Alaska township for the selected age group is shown in the following column.
• Total Population: The total population of the Alaska township 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 township Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the North Pole, AK population pyramid, which represents the North Pole population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 North Pole, AK, is 51.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for North Pole, AK, is 8.4.
• Total dependency ratio for North Pole, AK is 60.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for North Pole, AK is 11.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the North Pole for the selected age group is shown in the following column.
• Total Population: The total population of the North Pole 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 North Pole Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Petersburg, AK population pyramid, which represents the Petersburg 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 Petersburg, AK, is 26.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Petersburg, AK, is 36.0.
• Total dependency ratio for Petersburg, AK is 62.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Petersburg, AK is 2.8.

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 Petersburg population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Petersburg for the selected age group is shown in the following column.
• Population (Female): The female population in the Petersburg for the selected age group is shown in the following column.
• Total Population: The total population of the Petersburg 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 Petersburg Population by Age. You can refer the same here