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Context
The dataset tabulates the Wilkes-Barre 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 Wilkes-Barre 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 Wilkes-Barre was 44,254, a 0.01% increase year-by-year from 2022. Previously, in 2022, Wilkes-Barre population was 44,251, a decline of 0.15% compared to a population of 44,318 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Wilkes-Barre increased by 1,216. In this period, the peak population was 44,318 in the year 2021. 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).
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 Wilkes-Barre Population by Year. You can refer the same here
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TwitterComprehensive demographic dataset for Wilkes Barre, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Graph and download economic data for Resident Population in Scranton--Wilkes-Barre--Hazleton, PA (MSA) (SWBPOP) from 2000 to 2024 about Scranton, PA, residents, population, and USA.
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Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Wilkes-Barre. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Wilkes-Barre. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, in Wilkes-Barre, householders within the 45 to 64 years age group have the highest median household income at $57,474, followed by those in the 25 to 44 years age group with an income of $52,184. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $41,346. Notably, householders within the under 25 years age group, had the lowest median household income at $23,963.
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.
Age groups classifications 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 Wilkes-Barre median household income by age. You can refer the same here
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TwitterComprehensive demographic dataset for Laflin, Wilkes Barre, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Warrior Run, Wilkes Barre, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Wilkes-Barre 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 Wilkes-Barre. The dataset can be utilized to understand the population distribution of Wilkes-Barre by age. For example, using this dataset, we can identify the largest age group in Wilkes-Barre.
Key observations
The largest age group in Wilkes-Barre, PA was for the group of age 20 to 24 years years with a population of 4,050 (9.16%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Wilkes-Barre, PA was the 80 to 84 years years with a population of 749 (1.69%). 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 Wilkes-Barre Population by Age. You can refer the same here
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TwitterComprehensive demographic dataset for Sugar Notch, Wilkes Barre, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the Wilkes-Barre population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Wilkes-Barre.
The dataset constitues the following two datasets across these two themes
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/.
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Graph and download economic data for Unemployment Rate in Scranton--Wilkes-Barre--Hazleton, PA (MSA) (LAUMT424254000000003A) from 1990 to 2024 about Scranton, PA, household survey, unemployment, rate, and USA.
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Twitterhttps://www.zip-codes.com/tos-database.asphttps://www.zip-codes.com/tos-database.asp
Demographics, population, housing, income, education, schools, and geography for ZIP Code 18701 (Wilkes Barre, PA). Interactive charts load automatically as you scroll for improved performance.
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TwitterAttribution 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 Wilkes-Barre, PA population pyramid, which represents the Wilkes-Barre population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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) 2017-2021 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 Wilkes-Barre Population by Age. You can refer the same here
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Graph and download economic data for Civilian Labor Force in Scranton--Wilkes-Barre--Hazleton, PA (MSA) (LAUMT424254000000006A) from 1990 to 2024 about Scranton, PA, civilian, labor force, labor, household survey, and USA.
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Graph and download economic data for Unemployed Persons in Scranton--Wilkes-Barre--Hazleton, PA (MSA) (LAUMT424254000000004) from Jan 1990 to Aug 2025 about Scranton, PA, household survey, persons, unemployment, and USA.
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Graph and download economic data for All Employees: Government: Federal Government in Scranton--Wilkes-Barre, PA (MSA) (SMU42425409091000001SA) from Jan 1990 to Aug 2025 about Scranton, PA, federal, government, employment, and USA.
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Twitterhttps://www.zip-codes.com/tos-database.asphttps://www.zip-codes.com/tos-database.asp
Demographics, population, housing, income, education, schools, and geography for ZIP Code 18773 (Wilkes Barre, PA). Interactive charts load automatically as you scroll for improved performance.
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Graph and download economic data for Employed Persons in Scranton--Wilkes-Barre--Hazleton, PA (MSA) (LAUMT424254000000005A) from 1990 to 2024 about Scranton, PA, household survey, persons, employment, and USA.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Wilkes-Barre population by age. The dataset can be utilized to understand the age distribution and demographics of Wilkes-Barre.
The dataset constitues the following three datasets
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/.
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Graph and download economic data for Total Quarterly Wages in Scranton--Wilkes-Barre--Hazleton, PA (MSA) (ENUC425430010SA) from Q1 1990 to Q1 2025 about Scranton, PA, wages, and USA.
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TwitterDescriptionExercise OnlyA Situational Awareness application for Wilkes Barre, PA that can be used by emergency management staff to identify the impact of a flood on public infrastructure and human populations. The Situational Awareness Viewer is a configuration of Web AppBuilder for ArcGIS that can be used to analyze the impact to people and places within an incident area. The application can be configured within ArcGIS Online or deployed on-premises.This web map is based on a flood hazard assessment of Luzerne County, PA.Populations along the Susquehanna River Basin, which includes areas of New York, Pennsylvania, and Maryland, reside in one of the most flood prone areas in the United States. Major floods have occurred about every 15 years and flash floods are a consistent threat. Luzerne County, PA communities have long histories of flood emergencies, as the river bisects the county and tributaries are spread throughout. Based on the existing models and historical data, flood protection and management are already high priorities. However, rapidly changing demographics and unpredictable environmental conditions expose the need for more detailed and constantly evolving models for emergency preparedness and response.This Hazard Analysis of Luzerne County augments the existing flood hazard area models with two additional critical factors for consideration. First, areas with vulnerable populations are identified using the Agency for Toxic Substances and Disease Registry's (ATSDR) 2014 Social Vulnerability Index. This data model incorporates a variety of socioeconomic indicators as part of an analytical matrix that measures the potential resilience of communities facing emergency conditions. All tracts are given a percentile rank (0= Lowest Vulnerability to 1=Highest Vulnerability) for fifteen variables. Four major theme rankings (Socioeconomic, Housing Composition and Disability, Minority Status & Language, and Housing & Transportation) are compiled as a sum of the variables for each theme. An overall percentile ranking is determined for each tract. For the purposes of this study, Natural Breaks classification was used to group tracts with similar overall tract scores. All tracts with overall ratings above .7372 (top 2 of 5 classes) are defined as “High Vulnerability”, with populations that are at the highest risk during crisis level events of any kind. In addition, critical infrastructure locations are identified and mapped.Given the incalculable value of human life and importance of essential infrastructure to response and recovery, both the “High Vulnerability” areas and critical emergency locations layers are intersected with a layer of flood hazard areas from the FEMA Flood Map Service Center. The Special Flood Hazard Areas (SFHA) that intersect with High Vulnerability areas are defined as “High Hazard Areas”.The United States National Grid (USNG) for Luzerne County is also available as a comparative layer.About the SFHAThe land area covered by the floodwaters of the base flood is the Special Flood Hazard Area (SFHA) on NFIP maps. The SFHA is the area where the National Flood Insurance Program's (NFIP's) floodplain management regulations must be enforced and the area where the mandatory purchase of flood insurance applies.What is the SVI?Social vulnerability refers to the resilience of communities when confronted by external stresses on human health, stresses such as natural or human-caused disasters, or disease outbreaks. Reducing social vulnerability can decrease both human suffering and economic loss. The Agency for Toxic Substances and Disease Registry's (ATSDR) Social Vulnerability Index uses U.S. census variables at tract level to help local officials identify communities that may need support in preparing for hazards or recovering from disaster.What is the USNG?The United States National Grid (USNG) is a point reference system of grid references commonly used in the United States. It provides a nationally consistent language of location in a user-friendly format. It is similar in design to the national grid reference systems used throughout other nations.Data SourcesUS Homeland Infrastructure Foundation Level Data (HIFLD Open Data Portal)Emergency SheltersEmergency ServicesHospitalsFire StationsPolice StationsColleges and UniversitiesPrivate SchoolsPublic SchoolsATSDR 2014 Social Vulnerability Index (link)FEMA Flood Map Service Center (link)The United States National Grid (USNG) (link)
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Wilkes-Barre 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 Wilkes-Barre 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 Wilkes-Barre was 44,254, a 0.01% increase year-by-year from 2022. Previously, in 2022, Wilkes-Barre population was 44,251, a decline of 0.15% compared to a population of 44,318 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Wilkes-Barre increased by 1,216. In this period, the peak population was 44,318 in the year 2021. 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).
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 Wilkes-Barre Population by Year. You can refer the same here