Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Wake County, NC (MWACL37183) from 2009 to 2023 about Wake County, NC; Raleigh; adjusted; NC; average; wages; real; and USA.

Comprehensive cost of living breakdown for North Carolina including housing, food, transportation, and healthcare costs for retirement planning.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Davidson County, NC (MWACL37057) from 2009 to 2023 about Davidson County, NC; adjusted; NC; average; wages; real; and USA.

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Union County, NC (MWACL37179) from 2009 to 2023 about Union County, NC; Charlotte; adjusted; NC; average; wages; real; and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for New Hanover County, NC (MWACL37129) from 2009 to 2023 about New Hanover County, NC; Wilmington; adjusted; NC; average; wages; real; and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Mecklenburg County, NC (MWACL37119) from 2009 to 2023 about Mecklenburg County, NC; Charlotte; adjusted; NC; average; wages; real; and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Durham County, NC (MWACL37063) from 2009 to 2023 about Durham County, NC; Durham; adjusted; NC; average; wages; real; and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Cumberland County, NC (MWACL37051) from 2009 to 2023 about Cumberland County, NC; Fayetteville; adjusted; NC; average; wages; real; and USA.

The United States senior living market, valued at $112.93 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 5.86% from 2025 to 2033. This expansion is fueled by several key drivers. The aging population, particularly the baby boomer generation, is a significant factor, creating an increasing demand for assisted living, independent living, memory care, and nursing care facilities. Furthermore, rising disposable incomes and increasing awareness of the benefits of senior living communities contribute to market growth. Technological advancements in senior care, such as telehealth and remote monitoring, are also enhancing the quality of life for residents and boosting market appeal. However, the market faces some restraints, including the rising costs of healthcare and senior care services, potentially limiting accessibility for some segments of the population. Furthermore, staffing shortages within the industry represent a significant challenge. The market is segmented by property type, with assisted living, independent living, and memory care facilities representing the largest segments. Key states driving market growth include New York, Illinois, California, North Carolina, and Washington, reflecting higher concentrations of the senior population and higher disposable incomes. Major players in the market such as Ensign Group Inc, Sunrise Senior Living, Brookdale Senior Living Inc, and Atria Senior Living Inc, compete fiercely, driving innovation and service improvements. The forecast period (2025-2033) anticipates continued growth, driven by the ongoing demographic shifts and increased demand for high-quality senior care options. Strategic partnerships, acquisitions, and investments in technology are likely to shape the competitive landscape in the coming years. The industry will continue to adapt to meet the evolving needs of the aging population, focusing on personalized care, innovative technologies, and cost-effective solutions. This comprehensive report provides an in-depth analysis of the booming United States senior living market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period spanning 2025-2033, this report is an invaluable resource for investors, industry professionals, and anyone seeking to understand the dynamics of this rapidly evolving sector. The report leverages extensive data analysis to provide insightful projections and uncover key trends shaping the future of senior care in the US. Expect detailed breakdowns of key segments, including assisted living, independent living, memory care, and nursing care, across major states like California, New York, Illinois, North Carolina, and Washington. Recent developments include: July 2023: Spring Cypress senior living site expansion is set to open at the end of 2024 and will consist of three phases. The first phase of the expansion will include 19 independent-living, two-bedroom cottages. The second phase will include 24 townhomes. The third phase will feature 95 apartments. The final phase will feature a resort with several luxury amenities., Apr 2023: For seniors looking for innovative, high-quality care, Avista Senior Living is transitioning away from its SafelyYou partnership to empower safer, more personalized dementia care with real-time, AI video and remote clinical experts 24/7.. Key drivers for this market are: 4., Increase in Aging Population Driving the Market4.; Healthcare and Long-term Care Needs Driving the Market. Potential restraints include: 4., High Affordability and Cost of Care Affecting the Market4.; Staffing and Workforce Challenges Affecting the Market. Notable trends are: Senior Housing Witnessing Increased Demand.

Texas, North Carolina, and Florida were the states with the highest number of mobile homes in the U.S. as of September 2023. Since 1994, the cumulative number of manufactured housing units shipped to Texas amounted to approximately *******. Texas was also home to the largest number of manufactured home production plants, with over ** facilities operating in the state. What is the price of a mobile home? Because they are factory manufactured, mobile homes are considerably less expensive than regular homes. In 2022, a double-width mobile home cost about ******* U.S. dollars. While this may be more affordable than buying a new home, there are drawbacks to owning a mobile home. For example, unless the home buyer also owns the land, the mobile home is likely to depreciate over time. In contrast, regular homeowners can expect that if home prices and land prices grow, their property will go up in value. The need for affordable housing With house prices and mortgage rates rising, while housing inventory remains limited, it has become increasingly difficult for prospective homebuyers to buy a home. To address this issue, the Biden-Harris administration released a housing supply action plan aiming to close the housing supply gap in the next five years. Within the scope of the plan are policies that encourage state and local zoning and land-use laws, piloting new financing for housing production and preservation, and preserving the availability of affordable housing for owner-occupants.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Guilford County, NC (MWACL37081) from 2009 to 2023 about Guilford County, NC; Greensboro; adjusted; NC; average; wages; real; and USA.

Alaska, Hawaii, and Connecticut were the states with the highest average monthly utility costs in the United States in 2023. Residents paid about ****** U.S. dollars for their electricity bills in Hawaii, while the average monthly bill for natural gas came to *** U.S. dollars. This was significantly higher than in any other state. Bigger homes have higher utility costs Despite regional variations, single-family homes in the United States have grown bigger in size since 1975. This trend also means that, unless homeowners invest in energy savings measures, they will have to pay more for their utility costs. Which are the most affordable states to live in? According to the cost of living index, the three most affordable states to live in are Mississippi, Kansas, and Oklahoma. At the other end of the scale are Hawaii, District of Columbia, and New York. The index is based on housing, utilities, grocery items, transportation, health care, and miscellaneous goods and services. To buy a median priced home in Kansas City, a prospective home buyer will have to earn an annual salary of about ****** U.S. dollars.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Wilson County, NC (MWACL37195) from 2016 to 2023 about Wilson County, NC; adjusted; NC; average; wages; real; and USA.

The Russia Longitudinal Monitoring Survey (RLMS) is a series of nationally representative surveys designed to monitor the effects of Russian reforms on the health and economic welfare of households and individuals in the Russian Federation. These effects are measured by a variety of means: detailed monitoring of individuals' health status and dietary intake, precise measurement of household-level expenditures and service utilization, and collection of relevant community-level data, including region-specific prices and community infrastructure data. Phase II data have been collected annually (with two exceptions) since 1994. The project has been run jointly by the Carolina Population Center at the University of North Carolina at Chapel Hill, headed by Barry M. Popkin, and the Demoscope team in Russia, headed by Polina Kozyreva and Mikhail Kosolapov.

The sample size in 2014 was cut by about 20%, because the cost of the project increased due to inflation, but financial support remained the same. The original 1994 sample remained the same, and all cuts applied only to the part of the sample which was added in 2010. It should be stated that the implemented procedure of cutting the sample size guarantees that the smaller sample is still representative at the national level. To lower the cost it was also decided to dro p the Educational Expenses section from the HH questionnaire, which was added back in 2010.

For the household interview, a single member of the household was asked questions that pertained to the entire family. The respondent was usually the oldest living woman in the home since she was available to be interviewed during the daytime. Any attempt to identify one person as the "household head" is as problematic in Russia as it is in the United States. Thus, the interviewer was instructed to speak with "the person who knows the most about this family's shop ping and health."

In theory, the individual questionnaire is administered to every person living in the household. In practice, however, some individuals, such as very young children and elderly people, did not receive an individual interview. Individual-level information is the primary source of information pertaining to a person's health, employment status, demographic characteristics, and anthropometry. It can also be used to supplement household-level income an d expenditure information.

To safeguard the confidentiality of RLMS respondents, individual-level data sets omit text variables (designated char on questionnaires). Please note that almost all text variables exist in Russian only. English translations exist for only a few of these variables. Please contact us to check on the availability of English translations of specific variables of interest.

In January 2025, apartment rents recorded an annual growth in most U.S. states. Nevertheless, the national average rent declined by about *** percent. West Virginia was the state with the largest rental increase, while Colorado measured the largest decline. California, one of the most expensive states to rent an apartment, such as California, saw an increase of about *** percent from the previous year. How much should you earn to afford to rent an apartment in different states in the U.S.? Both employment opportunities and the living costs vary widely across the country. In California, which is among the most competitive housing markets in the U.S., the hourly wage needed to afford a two-bedroom apartment rental was roughly ** U.S. dollars, more than twice higher than in North Carolina, Louisiana, or Michigan in 2024. When it comes to the median household income, on the other hand, California does not even make it in the top ten states. How much should you earn to afford a home in some of U.S. largest metros? In 2022, the annual salary needed to buy a median-priced home in the U.S. was ****** U.S. dollars. However, in some of the largest metropolitan areas in the United States, where housing prices are up to two or three times higher, homebuyers would have to earn more than 100,000 U.S. dollars to afford a home. In San Jose, which was the most expensive metro, the annual salary needed for a median-priced home was approximately ******* U.S. dollars.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Pitt County, NC (MWACL37147) from 2009 to 2023 about Pitt County, NC; Greenville; adjusted; NC; average; wages; real; and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Surry County, NC (MWACL37171) from 2016 to 2023 about Surry County, NC; adjusted; NC; average; wages; real; and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Johnston County, NC (MWACL37101) from 2009 to 2023 about Johnston County, NC; Raleigh; adjusted; NC; average; wages; real; and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Onslow County, NC (MWACL37133) from 2009 to 2023 about Onslow County, NC; Jacksonville; adjusted; NC; average; wages; real; and USA.