About this dataset

Context

The dataset tabulates the data for the Gaithersburg, MD population pyramid, which represents the Gaithersburg 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 Gaithersburg, MD, is 28.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Gaithersburg, MD, is 20.5.
• Total dependency ratio for Gaithersburg, MD is 48.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Gaithersburg, MD is 4.9.

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

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Gaithersburg, the largest racial group is White alone with a population of 21,623 (44.30% 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 Gaithersburg
• Population: The population of the racial category (for Non-Hispanic) in the Gaithersburg is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gaithersburg 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 Gaithersburg Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Gaithersburg population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Gaithersburg. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 44,057 (63.64% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Gaithersburg population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Gaithersburg is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Gaithersburg 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 Gaithersburg Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (3,176) | Female # 45-49 years (2,837). 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 Gaithersburg population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Gaithersburg is shown in the following column.
• Population (Female): The female population in the Gaithersburg 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 Gaithersburg 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 Gaithersburg Population by Gender. You can refer the same here

Population 16 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

45 to 54 years Health Insurance Coverage Statistics for 2023. This is part of a larger dataset covering consumer health insurance coverage rates in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

35 to 44 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

Graph and download economic data for Unemployment Rate in Montgomery County, MD (MDMONT0URN) from Jan 1990 to Jan 2025 about Montgomery County, MD; Washington; MD; unemployment; rate; and USA.

35 to 64 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset presents the median household income across different racial categories in Gaithersburg. 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 Gaithersburg population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 35.60% of the total residents in Gaithersburg. Notably, the median household income for White households is $123,997. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $123,997.

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 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 Gaithersburg.
• Median household income: Median household income, adjusting for inflation, presented in 2023-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 Gaithersburg median household income by race. You can refer the same here

Polygon features that represent the political boundaries of Metropolitan Planning Organizations (MPO) that exist in Maryland and for which the Maryland Department of Transportation (MDOT) is a member. In several instances, these MPO boundaries extend beyond Maryland’s borders into neighboring states as well as the District of Columbia. MPO Boundaries’ data includes information on each boundary's name, geographic location, and the total size / extent of each area. MPO Boundaries data was intended to be used for planning purposes within governments at the National and State level. Maryland's MPO Boundaries data is a sub-set of the U.S. Department of Transportation (USDOT) Office of the Assistant Secretary for Research and Technology's Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). A metropolitan planning organization (MPO) is a federally-mandated and federally-funded transportation policy-making organization that is made up of representatives from local governments and governmental transportation authorities. Federal law requires the formation of an MPO for any urbanized area (UZA) with a population greater than 50,000. Federal funding for transportation projects and programs are channeled through this planning process. Congress created MPOs to ensure that existing and future expenditures of federal funds for transportation projects and programs are based on a continuing, cooperative, and comprehensive (“3‑C”) planning process. MPOs are charged with developing a 20-year long-range transportation plan (LRTP) and a short-term (usually 2-6 years) program called the transportation improvement program (TIP) for each of their respective regions. The seven MPOs of which Maryland jurisdictions and agencies are members are listed below. The Maryland member jurisdictions are listed under each MPO (note that some MPOs cover multi-State regions). The Maryland Department of Transportation is a member of each of the MPOs listed. Each of the listed member jurisdictions has a different level of involvement with its MPO.Maryland's MPOs are as follows: National Capital Region Transportation Planning Board (TPB)https://www.mwcog.org/tpb/- Charles County, Maryland- Frederick County, Maryland- Montgomery County, Maryland- Prince George's County, Maryland- City of Bowie, Maryland- City of College Park, Maryland- City of Frederick, Maryland- City of Gaithersburg, Maryland- City of Greenbelt, Maryland- City of Laurel, Maryland- City of Rockville, Maryland- City of Takoma Park, Maryland- Maryland Department of Transportation (MDOT)Baltimore Regional Transportation Board (BRTB)https://baltometro.org/- Anne Arundel County, Maryland- Baltimore County, Maryland- Carroll County, Maryland- Harford County, Maryland- Howard County, Maryland- Queen Anne's County, Maryland- City of Annapolis, Maryland- City of Baltimore, Maryland- Maryland Department of Transportation (MDOT)Cumberland Area Metropolitan Planning Organization (CAMPO)https://alleganygov.org/473/Metropolitan-Planning-Organization- Allegany County, Maryland- City of Cumberland, Maryland- City of Frostburg, Maryland- Maryland Department of Transportation (MDOT)Hagerstown / Eastern Panhandle Metropolitan Planning Organization (HEPMPO)https://www.hepmpo.net/- Washington County, Maryland- City of Hagerstown, Maryland- Maryland Department of Transportation (MDOT)Wilmington Area Planning Council (WILMAPCO)https://www.wilmapco.org/- Cecil County, Maryland- Maryland Department of Transportation (MDOT)Salisbury / Wicomico Metropolitan Planning Organization (S / WMPO)https://www.swmpo.org/- Wicomico County, Maryland- City of Fruitland, Maryland- City of Salisbury, Maryland- Town of Delmar, Maryland- Maryland Department of Transportation (MDOT)Calvert-St. Mary’s Metropolitan Planning Organization (C - SMMPO)https://www.calvert-stmarysmpo.com/- Calvert County, Maryland- St. Mary's County, Maryland- Maryland Department of Transportation (MDOT)Maryland's MPO Boundaries data is owned and maintained by the Transportation Secretary's Office (TSO) of the Maryland Department of Transportation (MDOT). Being a subset of the USDOT's NTAD, an annual update of Maryland's MPO Boundaries data is performed by TSO in close coordination with each MPO, the Maryland Department of Transportation State Highway Administration (MDOT SHA) and the Federal Highway Administration (FHWA). MPO Boundaries data is a strategic resource for the USDOT, FHWA, MDOT, as well as many other Federal, State, and local government agencies. Maryland's MPO Boundaries data is updated on an annual basis. For additional MPO information, contact MDOT's Office of Planning and Capital Programming:MDOTGIS@mdot.state.md.usFor additional data information, contact the MDOT SHA Geospatial Technologies Team:GIS@sha.state.md.usFor additional information related to the Maryland Department of Transportation (MDOT):https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):https://www.roads.maryland.gov/This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://geodata.md.gov/imap/rest/services/BusinessEconomy/MD_IncentiveZones/FeatureServer/13

This dataset provides general information about each collision and details of all traffic collisions occurring on county and local roadways within Montgomery County, as collected via the Automated Crash Reporting System (ACRS) of the Maryland State Police, and reported by the Montgomery County Police, Gaithersburg Police, Rockville Police, or the Maryland-National Capital Park Police.

Please note that these collision reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the collision data available on this web page may reflect:

-Information not yet verified by further investigation -Information that may include verified and unverified collision data -Preliminary collision classifications may be changed at a later date based upon further investigation -Information may include mechanical or human error

This dataset can be joined with the other 2 Crash Reporting datasets (see URLs below) by the State Report Number. * Crash Reporting - Drivers Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Drivers-Data/mmzv-x632 * Crash Reporting - Non-Motorists Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Non-Motorists-Data/n7fk-dce5 Update Frequency : Weekly

60 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

Population in housing units for whom poverty status is determined Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

Under 18 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Gaithersburg, MD, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Gaithersburg, MD reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Gaithersburg households based on income levels.

Key observations

• For Family Households: In Gaithersburg, the majority of family households, representing 25.94%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.77%, have incomes falling $25,000 to $29,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Gaithersburg, the majority of non-family households, accounting for 13.7%, have income $100,000 to $124,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 2.1%, earn $25,000 to $29,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Gaithersburg, MD (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Gaithersburg, MD
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Gaithersburg, MD
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Gaithersburg, MD

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 Gaithersburg median household income. You can refer the same here

A statewide listing of District Court of Maryland Eviction Case Data & its Process.

Maryland enacted a new law in 2022 requiring the District Court of Maryland to collect and report eviction case data. Additionally, the Maryland Department of Housing and Community Development is required to host a dashboard for the public to view and analyze the information, as well as produce an annual report on evictions.

The District Court began collecting the eviction case data required under the law on January 1, 2023, and the public dashboard was launched in May 2023.

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 Gaithersburg. 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 2013 and 2023, 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 Gaithersburg, the median household income for the households where the householder is White increased by $1,388(1.13%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $122,609 in 2013 and $123,997 in 2023.
• Black or African American: In Gaithersburg, the median household income for the households where the householder is Black or African American increased by $12,984(16.27%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $79,802 in 2013 and $92,786 in 2023.
• 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

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 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 Gaithersburg.
• 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
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-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 Gaithersburg median household income by race. You can refer the same here

Under 6 years Health Insurance Coverage Statistics for 2023. This is part of a larger dataset covering consumer health insurance coverage rates in Gaithersburg, Maryland by age, education, race, gender, work experience and more.

High school graduate (includes equivalency) Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Gaithersburg, Maryland by age, education, race, gender, work experience and more.