Graph and download economic data for Resident Population in Charlotte-Concord-Gastonia, NC-SC (MSA) (CGRPOP) from 2000 to 2024 about Charlotte, SC, NC, residents, population, and USA.

In 2023, the population of the Charlotte-Concord-Gastonia metropolitan area was about 2.8 million people. This was a slight increase from the previous year, when the population was about 2.75 million people.

Comprehensive demographic dataset for South Charlotte, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for North Charlotte, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for University City North, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Northlake, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Uptown Charlotte, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Belmeade Green, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

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.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 28277 (Charlotte, NC). Interactive charts load automatically as you scroll for improved performance.

Attributes/demographics of FBI Uniform Crime Reporting Part I violent crime victims and offenders, updated monthly, aggregated to the CMPD jurisdiction, Neighborhood Profile Area (NPA), and Violent Crime Hotspot (focus areas for the City's violence reduction initiative). Monthly counts cover the time frame Jan-2015 to present. Crime categories comprising violent crime include homicide, rape, robbery, and aggravated assault. Attributes of violent crime victims include counts of domestic violence (DV and Non-DV), age group, gender, and race/ethnicity. Attributes of violent crime offenders include counts of age group, gender, and race/ethnicity.

Comprehensive demographic dataset for Mountain Island, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Wildwood, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Elizabeth, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Cotswold, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Druid Hills, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Highland Creek, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Genesis Park, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Hickory Grove, Charlotte, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.