Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gaithersburg 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 Gaithersburg 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 Gaithersburg was 69,563, a 0.84% increase year-by-year from 2022. Previously, in 2022, Gaithersburg population was 68,984, a decline of 0.28% compared to a population of 69,177 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Gaithersburg increased by 16,708. In this period, the peak population was 69,563 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Year. You can refer the same here
Comprehensive demographic dataset for Gaithersburg, MD, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gaithersburg 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 Gaithersburg. The dataset can be utilized to understand the population distribution of Gaithersburg by age. For example, using this dataset, we can identify the largest age group in Gaithersburg.
Key observations
The largest age group in Gaithersburg, MD was for the group of age 40 to 44 years years with a population of 5,844 (8.44%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Gaithersburg, MD was the 80 to 84 years years with a population of 1,176 (1.70%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Gender. You can refer the same here
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Gaithersburg city, Maryland. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 1993 to 2023 for Gaithersburg Middle School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Gaithersburg by race. It includes the population of Gaithersburg across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Gaithersburg across relevant racial categories.
Key observations
The percent distribution of Gaithersburg population by race (across all racial categories recognized by the U.S. Census Bureau): 35.60% are white, 15.46% are Black or African American, 0.86% are American Indian and Alaska Native, 19.63% are Asian, 0.20% are Native Hawaiian and other Pacific Islander, 16.34% are some other race and 11.91% are multiracial.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual hispanic student percentage from 1993 to 2023 for Gaithersburg High School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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).
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual black student percentage from 1993 to 2023 for Gaithersburg High School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual science proficiency from 2021 to 2022 for Gaithersburg High School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual math proficiency from 2011 to 2023 for Gaithersburg Middle School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual asian student percentage from 1993 to 2023 for Gaithersburg High School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual two or more races student percentage from 2013 to 2023 for Gaithersburg High School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual graduation rate from 2013 to 2023 for Gaithersburg High School vs. Maryland and Montgomery County School District
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://mdgeodata.md.gov/imap/rest/services/BusinessEconomy/MD_IncentiveZones/FeatureServer/13
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual free lunch eligibility from 1991 to 2023 for Gaithersburg High School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual student-teacher ratio from 1987 to 2023 for Gaithersburg Middle School vs. Maryland and Montgomery County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gaithersburg Population by Age. You can refer the same here