About this dataset

Context

The dataset tabulates the Raleigh 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 Raleigh 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 Raleigh was 278, a 0.71% decrease year-by-year from 2022. Previously, in 2022, Raleigh population was 280, a decline of 1.06% compared to a population of 283 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Raleigh decreased by 44. In this period, the peak population was 353 in the year 2010. 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 Raleigh is shown in this column.
• Year on Year Change: This column displays the change in Raleigh 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 Raleigh Population by Year. You can refer the same here

Graph and download economic data for Resident Population in Raleigh, NC (MSA) (RCYPOP) from 2000 to 2024 about Raleigh, NC, residents, population, and USA.

About this dataset

Context

The dataset tabulates the Raleigh population by year. The dataset can be utilized to understand the population trend of Raleigh.

Content

The dataset constitues the following datasets

• Raleigh, IL Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

About this dataset

Context

The dataset tabulates the data for the Raleigh, NC population pyramid, which represents the Raleigh 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 Raleigh, NC, is 23.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Raleigh, NC, is 16.4.
• Total dependency ratio for Raleigh, NC is 40.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Raleigh, NC is 6.1.

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

Historical dataset of population level and growth rate for the Raleigh metro area from 1950 to 2025.

In 2023, the population of the Raleigh-Cary metropolitan area in the United States was about 1.51 million people. This was a slight increase from the previous year, when the population was about 1.48 million people.

Graph and download economic data for Resident Population in Wake County, NC (NCWAKE3POP) from 1970 to 2024 about Wake County, NC; Raleigh; NC; residents; population; and USA.

About this dataset

Context

The dataset tabulates the Raleigh 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 Raleigh 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 2022, the population of Raleigh was 476,587, a 1.42% increase year-by-year from 2021. Previously, in 2021, Raleigh population was 469,892, an increase of 1.20% compared to a population of 464,320 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Raleigh increased by 186,508. In this period, the peak population was 476,587 in the year 2022. 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Raleigh is shown in this column.
• Year on Year Change: This column displays the change in Raleigh 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 Raleigh Population by Year. You can refer the same here

The North Carolina self-storage market, valued at approximately $XX million in 2025, is experiencing steady growth, projected to expand at a compound annual growth rate (CAGR) of 4.97% from 2025 to 2033. This growth is driven by several factors, including a rising population in major metropolitan areas like Charlotte, Raleigh, Greensboro, and Durham, increasing urbanization, and a growing demand for flexible and convenient storage solutions among both residential and commercial customers. The increasing popularity of e-commerce and the subsequent need for businesses to manage inventory efficiently further contributes to market expansion. Furthermore, the state's robust economy and a consistent influx of new residents fuel the need for additional storage space. While land availability and construction costs represent potential restraints, the strong demand continues to outweigh these challenges, supporting a positive outlook for the sector. The market is segmented by user type (personal and business) and geography, with Charlotte, Raleigh, Greensboro, Durham, and Winston-Salem comprising the most significant regional markets. Competition is relatively high, with established players like Life Storage Inc, Cubesmart LP, and several regional operators vying for market share. The consistent growth projections suggest a lucrative opportunity for existing and new entrants alike. The segmentation by user type reveals a dynamic interplay between personal and business storage needs. While personal storage caters to individual relocation, decluttering, and seasonal storage needs, the business segment reflects a growing demand for storage solutions by entrepreneurs, small and medium-sized enterprises (SMEs), and large corporations. The geographic segmentation highlights the importance of strategically targeting major urban centers experiencing population growth and economic expansion. Future market performance will likely be influenced by factors such as economic conditions, real estate prices, and the continued development of innovative self-storage solutions and technologies. This detailed analysis provides a comprehensive overview of the North Carolina self-storage market, offering insights for investors, businesses, and stakeholders operating within this dynamic sector. Recent developments include: March 2023 - A brand-new self-storage facility that MV is building in Fayetteville, North Carolina, is also almost finished. The building at 5234 Raeford Road, which was constructed on 9 acres, has 808 units and 105,000 gross square feet of space. The opening date was set for April 1. A development, building, and property management company with a focus on multifamily and self-storage buildings is MV. More than 1.5 million square feet of self-storage have been built by it thus far., August 2022 - CBRE, commercial real estate services and investment firm, announced the USD 23.6 million sales of two extra space storage facilities outside Charlotte, North Carolina. Lakeland Village acquired the portfolio from a private investor. Furthermore, the portfolio of 136,994 square feet includes extra space storage locations in Mooresville and Salisbury, North Carolina, the 66,000 square foot Salisbury facility, which can be found at 725 Jake Alexander Blvd. S. has 680 self-storage units that range in size from 5x5 feet to 10x30 feet.. Key drivers for this market are: Increased Urbanization, Coupled with Smaller Living Spaces, Improved Economic Outlook and Innovative Trends. Potential restraints include: Increased Urbanization, Coupled with Smaller Living Spaces, Improved Economic Outlook and Innovative Trends. Notable trends are: Personal Segment to Hold Major Market Share.

Graph and download economic data for Resident Population in Durham-Chapel Hill, NC (MSA) (RADPOP) from 2000 to 2024 about Durham, SC, NC, residents, population, 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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

The prevailing demographic model for Drosophila melanogaster suggests that the colonization of North America occurred very recently from a subset of European flies that rapidly expanded across the continent. This model implies a sudden population growth and range expansion consistent with very low or no population subdivision. As flies adapt to new environments, local adaptation events may be expected. To describe demographic and selective events during North American colonization, we have generated a data set of 35 individual whole-genome sequences from inbred lines of D. melanogaster from a west coast US population (Winters, California, USA) and compared them with a public genome data set from Raleigh (Raleigh, North Carolina, USA). We analysed nuclear and mitochondrial genomes and described levels of variation and divergence within and between these two North American D. melanogaster populations. Both populations exhibit negative values of Tajima's D across the genome, a common signature of demographic expansion. We also detected a low but significant level of genome-wide differentiation between the two populations, as well as multiple allele surfing events, which can be the result of gene drift in local subpopulations on the edge of an expansion wave. In contrast to this genome-wide pattern, we uncovered a 50-kilobase segment in chromosome arm 3L that showed all the hallmarks of a soft selective sweep in both populations. A comparison of allele frequencies within this divergent region among six populations from three continents allowed us to cluster these populations in two differentiated groups, providing evidence for the action of natural selection on a global scale.