A dataset showing the population of 23230 between 2010 and 2020.

FunCoup network information for gene 23230 in Homo sapiens. VP13A_HUMAN Intermembrane lipid transfer protein VPS13A

Detailed information about the ASN for the IP AS23230.

ubiquitin like modifier activating enzyme 5 Enables UFM1 activating enzyme activity; protein homodimerization activity; and zinc ion binding activity. Involved in several processes, including protein K69-linked ufmylation; regulation of intracellular estrogen receptor signaling pathway; and reticulophagy. Acts upstream of or within response to endoplasmic reticulum stress. Located in cytosol and endoplasmic reticulum membrane. Implicated in autosomal recessive spinocerebellar ataxia 24 and developmental and epileptic encephalopathy 44. This gene encodes a member of the E1-like ubiquitin-activating enzyme family. This protein activates ubiquitin-fold modifier 1, a ubiquitin-like post-translational modifier protein, via the formation of a high-energy thioester bond. Alternative splicing results in multiple transcript variants. A pseudogene of this gene has been identified on chromosome 1. [provided by RefSeq, Feb 2016]

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Richmond, VA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

About this dataset

Context

The dataset tabulates the Richmond 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 Richmond 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 Richmond was 229,247, a 0.39% increase year-by-year from 2022. Previously, in 2022, Richmond population was 228,367, an increase of 0.54% compared to a population of 227,140 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Richmond increased by 32,396. In this period, the peak population was 231,027 in the year 2019. 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 Richmond is shown in this column.
• Year on Year Change: This column displays the change in Richmond 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 Richmond Population by Year. You can refer the same here

These data were automated to provide an accurate high-resolution historical shoreline of Richmond, VA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

Graph and download economic data for All Employees: Manufacturing in Richmond, VA (MSA) (SMU51400603000000001A) from 1990 to 2024 about Richmond, VA, manufacturing, employment, and USA.

About this dataset

Context

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

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 11,543, while the mean income for the highest quintile (20% of households with the highest income) is 261,851. This indicates that the top earners earn 23 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 488,756, which is 186.65% higher compared to the highest quintile, and 4234.22% higher compared to the lowest quintile.

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:

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

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Richmond median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Richmond, VA population pyramid, which represents the Richmond 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 Richmond, VA, is 21.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Richmond, VA, is 19.1.
• Total dependency ratio for Richmond, VA is 40.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Richmond, VA is 5.2.

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

These data provide an accurate high-resolution shoreline compiled from imagery of JAMES RIVER, HOPEWELL TO RICHMOND, VA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic...

This dataset provides information about the number of properties, residents, and average property values for Hazelwood Street cross streets in Richmond, VA.

Explore the historical Whois records related to 23230.net (Domain). Get insights into ownership history and changes over time.

This dataset is the most comprehensive look at volunteering and civic life in the 50 states and 51 cities across the country. Data include volunteer rates and rankings, civic engagement trends, and analysis.

This dataset provides information about the number of properties, residents, and average property values for Condie Street cross streets in Richmond, VA.

Graph and download economic data for Housing Inventory: Median Days on Market Year-Over-Year in Richmond, VA (CBSA) (MEDDAYONMARYY40060) from Jul 2017 to Feb 2025 about Richmond, VA, median, and USA.

This dataset provides information about the number of properties, residents, and average property values for Conley Road cross streets in Richmond, VA.

This dataset provides information about the number of properties, residents, and average property values for Arizona Drive cross streets in Richmond, VA.

predicted gene, 23230

About this dataset

Context

The dataset tabulates the Richmond population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Richmond.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Richmond, VA Population Breakdown by Race
• Richmond, VA Non-Hispanic Population Breakdown by Race
• Richmond, VA Hispanic or Latino Population Distribution by Their Ancestries

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/.