Wharton’s jelly (WJ) is a mucous connective tissue of the umbilical cord. It shows high healing capabilities, mainly attributed to the chemical composition and to the presence of stem cells, growth factors and peptides. Although WJ biological properties are well documented in vitro and in vivo, there is still a lack of mechanical data on this tissue, which is paramount for its use as a biomaterial for medical applications. In this study, mechanical responses of ten WJ samples within close physiological conditions were registered undergoing quasi static cyclic tensile tests followed by a load up to failure. This database provides stress/strain curves with cyclic and ultimate behavior of the WJ. The resulting viscous nonlinear elastic response obtained is fully in tune with the literature confirming the database quality. A side of the knowledge improvement on WJ mechanical response, this dataset can feed predictive numerical models and on the other hand increase WJ knowledge in view of its potential use in biomedical field.

About this dataset

Context

The dataset tabulates the population of Wharton by race. It includes the population of Wharton across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Wharton across relevant racial categories.

Key observations

The percent distribution of Wharton population by race (across all racial categories recognized by the U.S. Census Bureau): 98.14% are white and 1.86% are multiracial.

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 (excluding ethnicity) for the Wharton
• Population: The population of the racial category (excluding ethnicity) in the Wharton is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Wharton 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 Wharton Population by Race & Ethnicity. You can refer the same here

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

This dataset provides information about the number of properties, residents, and average property values for Wharton Road cross streets in Austin, PA.

About this dataset

Context

The dataset tabulates the Wharton 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 Wharton 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 Wharton was 8,742, a 0.37% increase year-by-year from 2022. Previously, in 2022, Wharton population was 8,710, an increase of 0.50% compared to a population of 8,667 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Wharton decreased by 557. In this period, the peak population was 9,374 in the year 2001. 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 Wharton is shown in this column.
• Year on Year Change: This column displays the change in Wharton 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 Wharton Population by Year. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Wharton Drive cross streets in Yorktown Heights, NY.

About this dataset

Context

The dataset tabulates the data for the Wharton, OH population pyramid, which represents the Wharton 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 Wharton, OH, is 26.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Wharton, OH, is 15.0.
• Total dependency ratio for Wharton, OH is 41.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Wharton, OH is 6.7.

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

Graph and download economic data for Personal Income in Wharton County, TX (PI48481) from 1969 to 2023 about Wharton County, TX; personal income; personal; TX; income; and USA.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Feature Names Relationship File (FEATNAMES.dbf) contains a record for each feature name and any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines Shapefile (EDGES.shp), where applicable to the corresponding address range or ranges in the Address Ranges Relationship File (ADDR.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads Shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines Shapefile (EDGES.shp) using the permanent edge identifier (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File (FEATNAMES.dbf) through the Address Range / Feature Name Relationship File (ADDRFN.dbf).

The Center for Research in Security Prices (CRSP) stock databases provide time-series and event data on individual stocks, augmented with market time-series. Daily and monthly time-series variables include returns, closing, low bid and high ask prices, and trading volume. Event data includes distributions, shares outstanding, names, etc.

Dataset is an external database available here for Cornell affiliates: https://johnson.library.cornell.edu/database/wharton-research-data-services-wrds/

This dataset provides information about the number of properties, residents, and average property values for Cutler Street cross streets in Wharton, NJ.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).

Graph and download economic data for Unemployment Rate in Wharton County, TX (TXWHAR1URN) from Jan 1990 to Apr 2025 about Wharton County, TX; TX; unemployment; rate; and USA.

Graph and download economic data for Gross Domestic Product: All Industries in Wharton County, TX (GDPALL48481) from 2001 to 2023 about Wharton County, TX; TX; industry; GDP; and USA.

RS_US_Colorado_Wharton. +ATLANTIC_CoLAB data from a local source. author=U.S. Geological Survey (USGS), USA cdm_data_type=TimeSeries cdm_timeseries_variables=station_name, latitude, longitude citation=These data were collected and made freely available by U.S. Geological Survey contact=info@colabatlantic.com, francisco.campuzano@colabatlantic.com Conventions=CF-1.10, COARDS, ACDD-1.3, NCCSV-1.2 data_assembly_center=+ATLANTIC CoLAB, Portugal data_type=time-series data date_update=2025-07-01T00:26:26Z distribution_statement=These data are public and free of charge. User assumes all risk for use of data. User must display citation in any publication or product using data. User must contact PI prior to any commercial use of data. Easternmost_Easting=-96.10385 family_label=hydrometric featureType=TimeSeries format_version=1.2 geospatial_lat_max=29.30914 geospatial_lat_min=29.30914 geospatial_lat_units=degrees_north geospatial_lon_max=-96.10385 geospatial_lon_min=-96.10385 geospatial_lon_units=degrees_east history=Creation: 2025-07-01T00:26:26Z id=RS_US_Colorado_Wharton_20250630 infoUrl=https://emodnet.ec.europa.eu/en/physics institution=+ATLANTIC_CoLAB institution_edmo_code=1566 last_date_observation=1751327700 last_latitude_observation=29.309137 last_longitude_observation=-96.10385 logo=https://erddap.colabatlantic.com/erddap/files/Logos_emodnet/US/20080730174956!USGS_logo.png naming_authority=EMODnet netcdf_version=4.4.1.1 Northernmost_Northing=29.30914 pi_name=+ATLANTIC references=https://emodnet.ec.europa.eu/en/physics SDN=SDN:P01::RFDSCH01 site_code=08162000 source=automatic sensor sourceUrl=(local files) Southernmost_Northing=29.30914 standard_name_vocabulary=CF Standard Name Table v70 testOutOfDate=now-1day time_coverage_end=2025-06-30T23:55:00Z time_coverage_start=2016-01-01T00:00:00Z update_interval=300 Westernmost_Easting=-96.10385

Detailed data on Oil & Gas Production Data in Texas including production and reserves information.

About this dataset

Context

The dataset tabulates the population of Wharton by race. It includes the population of Wharton across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Wharton across relevant racial categories.

Key observations

The percent distribution of Wharton population by race (across all racial categories recognized by the U.S. Census Bureau): 63.74% are white, 0.04% are Black or African American, 0.80% are Asian, 13.81% are some other race and 21.60% are multiracial.

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 (excluding ethnicity) for the Wharton
• Population: The population of the racial category (excluding ethnicity) in the Wharton is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Wharton 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 Wharton Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Unemployed Persons in Wharton County, TX (LAUCN484810000000004) from Jan 1990 to May 2025 about Wharton County, TX; household survey; TX; unemployment; persons; and USA.

Employed in Wharton County, TX was 18915.00000 Persons in April of 2025, according to the United States Federal Reserve. Historically, Employed in Wharton County, TX reached a record high of 20724.00000 in October of 2014 and a record low of 16291.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Employed in Wharton County, TX - last updated from the United States Federal Reserve on June of 2025.

About this dataset

Context

The dataset tabulates the population of Wharton township by race. It includes the population of Wharton township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Wharton township across relevant racial categories.

Key observations

The percent distribution of Wharton township population by race (across all racial categories recognized by the U.S. Census Bureau): 93.69% are white, 1.80% are American Indian and Alaska Native and 4.50% are Native Hawaiian and other Pacific Islander.

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 (excluding ethnicity) for the Wharton township
• Population: The population of the racial category (excluding ethnicity) in the Wharton township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Wharton township 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 Wharton township Population by Race & Ethnicity. You can refer the same here