About this dataset

Context

The dataset tabulates the Queenstown population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Queenstown. The dataset can be utilized to understand the population distribution of Queenstown by age. For example, using this dataset, we can identify the largest age group in Queenstown.

Key observations

The largest age group in Queenstown, MD was for the group of age 35 to 39 years years with a population of 129 (13.03%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Queenstown, MD was the 80 to 84 years years with a population of 4 (0.40%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Queenstown is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Queenstown 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 Queenstown Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Queenstown by race. It includes the distribution of the Non-Hispanic population of Queenstown across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Queenstown across relevant racial categories.

Key observations

Of the Non-Hispanic population in Queenstown, the largest racial group is White alone with a population of 508 (83.14% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Queenstown
• Population: The population of the racial category (for Non-Hispanic) in the Queenstown is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Queenstown total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Queenstown Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Queenstown 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 Queenstown 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 2023, the population of Queenstown was 739, a 0.27% decrease year-by-year from 2022. Previously, in 2022, Queenstown population was 741, an increase of 2.63% compared to a population of 722 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Queenstown increased by 113. In this period, the peak population was 741 in the year 2022. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

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

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Queenstown is shown in this column.
• Year on Year Change: This column displays the change in Queenstown 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 Queenstown Population by Year. You can refer the same here

Singapore Resident Population: HDB Flats: Queenstown data was reported at 82,800.000 Person in 2017. This records an increase from the previous number of 81,600.000 Person for 2016. Singapore Resident Population: HDB Flats: Queenstown data is updated yearly, averaging 84,400.000 Person from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 102,947.000 Person in 1997 and a record low of 79,400.000 Person in 2005. Singapore Resident Population: HDB Flats: Queenstown data remains active status in CEIC and is reported by Housing & Development Board. The data is categorized under Global Database’s Singapore – Table SG.EB026: Public Housing Statistics. Data as at 31 March of the calendar year

About this dataset

Context

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

Key observations

There is a majority of female population, with 55.25% of total population being female. 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 Queenstown is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Queenstown 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 Queenstown Population by Race & Ethnicity. You can refer the same here

Chart and table of New Zealand population from 1950 to 2025. United Nations projections are also included through the year 2100.

About this dataset

Context

The dataset tabulates the Queenstown Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Queenstown, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Queenstown.

Key observations

Among the Hispanic population in Queenstown, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 346 (91.29% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Queenstown
• Population: The population of the specific origin for Hispanic or Latino population in the Queenstown is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Queenstown total Hispanic or Latino 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 Queenstown Population by Race & Ethnicity. You can refer the same here

As of June 2024, there were approximately 23.59 million sheep in New Zealand, a slight decrease from the previous year in which there were around 24.36 million sheep in the country. The number of sheep in the country has declined over the past decade.  Sheep farming New Zealand was once known for its disproportionate number of sheep per population. However, since the 1970s, the country’s sheep population has fallen drastically. A major factor that has contributed to this decline is sheep farming land lost to other purposes such as urban sprawl, dairy farming, and horticulture farming. The number of lamb livestock has similarly seen a decline. Consumption and exports Sheep in New Zealand are bred for wool and meat, including mutton and lamb. New Zealand is a significant player in the global wool market. The country exports strong wool to leading textile manufacturers around the world. However, along with sheep numbers, wool production has decreased significantly across New Zealand. In terms of domestic meat consumption, the per capita consumption of sheep meat in New Zealand was forecast to decline into the next decade. When looking at trade, the leading country for sheep meat exports from New Zealand was China, with the United Kingdom and the United States trailing behind.

NZ Suburbs and Localities describes the spatial extent and name of communities in urban areas (suburbs) and rural areas (localities) for navigation and location purposes.

The suburb and locality boundaries cover New Zealand including North Island, South Island, Stewart Island/Rakiura, Chatham Islands, and nearby offshore islands.

Each suburb and locality is assigned a name, major name, Territorial Authority and, if appropriate, additional in use names. A population estimate is provided for each suburb and locality by Stats NZ.

For more information please refer to the NZ Suburbs and Localities Data Dictionary and the LINZ Website

Changes to NZ Suburbs and Localities can be requested by emailing addresses@linz.govt.nz

Change Request Guidance Documents: - Change Request Process - Change Request Principles, Requirements and Rules

APIs and web services

This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services

This dataset is the definitive version of the annually released ward boundaries as at 1 January 2023 as defined by the territorial authorities and Local Government Commission and maintained by Stats NZ. This version contains 224 wards, excluding ‘area outside ward’.

​

Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. Wards were originally set up within any territorial authority with a population of at least 20,000. The ward system was designed to allow for the recognition of communities within a territorial authority and to increase community involvement in the local government system.

​

Territorial authorities can now choose whether they would like to maintain electoral wards. As a result, the number of wards has steadily decreased since they were first created in 1989. Ward boundaries are reviewed in the year before the three-yearly local government elections.

​

Wards are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geographies.

​

**Numbering **

Wards are numbered based on their corresponding territorial authority. Each ward has a unique five-digit number. The first three digits represent the territorial authority that the ward lies within. The following two digits are sequential and represent the number of wards within a territorial authority. For example, Westland District (057) has three wards, which are coded 05701, 05702, and 05703.

​

Some territorial authorities do not use wards. In the classification, these territorial authorities use ‘99’ for the last two digits of the ward code, and the descriptor “Area Outside Ward”.

​

Generalised version

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

​

Macrons

Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

​

Digital data

Digital boundary data became freely available on 1 July 2007.

​

To download geographic classifications in table formats such as CSV please use Ariā

In the year ended June 2024, around 616 thousand inbound tourists to New Zealand were aged between 25 and 34 years old, making it the leading age group for international arrivals into the country that year. The second-largest group of international tourists by age were those aged 55 to 64 years old, with over 539 thousand people in this age category traveling to New Zealand in financial year 2024.

In 2022, the crude birth rate in New Zealand remained nearly unchanged at around 11.49 live births per 1,000 inhabitants. However, 2022 marked the second consecutive increase of the rate. The crude birth rate is the annual number of live births in a given population, expressed per 1,000 people. When looked at in unison with the crude death rate, the rate of natural increase can be determined.Find more statistics on other topics about New Zealand with key insights such as total fertility rate, death rate, and total life expectancy at birth.

In the month of June 2024, there were over 185 thousand international visitor arrivals to New Zealand, marking an increase from the same month of 2023, with around 178 thousand international arrivals. The significant recovery in visitor numbers from March 2022 onwards can be attributed to New Zealand re-opening its borders to travelers after a two-year COVID-19 lockout. International tourism in New Zealand From its picturesque shorelines to its striking mountain ranges, New Zealand has become an appealing destination for international tourists. Auckland, New Zealand’s North Island metropolis, alongside Christchurch, Queenstown, Rotorua, and Wellington, are some of the most popular destinations for international visitors in the country. In 2024, the largest groups of overseas arrivals into the country traveled from Australia, the United States, and China. That year, the number of visitors from China to New Zealand witnessed a large recovery, growing by over 170 thousand arrivals from the year 2023. The leading reasons for visiting New Zealand remain to go on holiday or to visit friends or relatives. Tourism sector recovery in New Zealand From April 2020 to February 2022, New Zealand’s international tourist numbers plummeted, witnessing a short-lived recovery between April and July 2021, with tourism industry owners emphasizing the importance of international travel to New Zealand's tourism sector recovery. In 2023 and 2024, the country’s international tourism sector showed strong signs of recovery, with international visitor numbers leaping from just over 309 thousand in 2022 to over three million in 2024. While this is still not quite at the pre-pandemic high witnessed in 2019, it is safe to say that New Zealand’s international travel sector is back on track.

New Zealand recorded over 3.2 million international visitor arrivals in the year ended June 2024, marking an increase from the previous year, in which just over 2.5 million oversea visitors traveled into the country. International visitor arrivals to New Zealand hit an all-time low of 186 thousand visitor arrivals in 2021 due to COVID-19-related lockdowns and travel restrictions.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Queenstown, MD, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 22,310, while the mean income for the highest quintile (20% of households with the highest income) is 229,908. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 359,689, which is 156.45% higher compared to the highest quintile, and 1612.23% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 Queenstown median household income. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Queenstown. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Queenstown population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 57.79% of the total residents in Queenstown. Notably, the median household income for White households is $108,375. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $108,375.

https://i.neilsberg.com/ch/queenstown-md-median-household-income-by-race.jpeg" alt="Queenstown median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Queenstown.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 Queenstown median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Queenstown. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Queenstown, the median income for all workers aged 15 years and older, regardless of work hours, was $44,509 for males and $38,810 for females.

Based on these incomes, we observe a gender gap percentage of approximately 13%, indicating a significant disparity between the median incomes of males and females in Queenstown. Women, regardless of work hours, still earn 87 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

- Full-time workers, aged 15 years and older: In Queenstown, among full-time, year-round workers aged 15 years and older, males earned a median income of $59,886, while females earned $57,250, resulting in a 4% gender pay gap among full-time workers. This illustrates that women earn 96 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Queenstown.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Queenstown, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Queenstown median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Queenstown, MD, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Queenstown did not include 5, 6, or 7-person households. Across the different household sizes in Queenstown the mean income is $101,996, and the standard deviation is $38,983. The coefficient of variation (CV) is 38.22%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $43,622. It then further increased to $120,367 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/queenstown-md-median-household-income-by-household-size.jpeg" alt="Queenstown, MD median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Queenstown median household income. You can refer the same here

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Queenstown. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Queenstown, the median household income for the households where the householder is White increased by $8,923(8.97%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $99,452 in 2011 and $108,375 in 2021.
• Black or African American: In Queenstown, the median household income for Black or African American households was $92,076 in 2011(2022 inflation-adjusted dollars). However there is no reported data for 2021, indicating a lack of information for this specific year.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/queenstown-md-median-household-income-by-race-trends.jpeg" alt="Queenstown, MD median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Queenstown.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

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 Queenstown median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Queenstown. The dataset can be utilized to gain insights into gender-based income distribution within the Queenstown population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Queenstown, among individuals aged 15 years and older with income, there were 347 men and 342 women in the workforce. Among them, 185 men were engaged in full-time, year-round employment, while 150 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 10.67% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 30.27% of men in full-time roles earned incomes exceeding $100,000, while 10.67% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Queenstown median household income by race. You can refer the same here