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.

In 2024, the annual cost for a private room in an assisted living facility in the U.S. amounted to ****** U.S. dollars. However, costs varied greatly from one state to another. The most expensive states for a private room in assisted living was found in Hawaii, followed by Alaska and DC.

Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at ******* U.S. dollars annually for homeowners to have an affordable and comfortable life in 2024. This can be compared to Houston, Texas, where homeowners needed an annual income of ****** U.S. dollars in 2024.

Quality of life is a measure of comfort, health, and happiness by a person or a group of people. Quality of life is determined by both material factors, such as income and housing, and broader considerations like health, education, and freedom. Each year, US & World News releases its “Best States to Live in” report, which ranks states on the quality of life each state provides its residents. In order to determine rankings, U.S. News & World Report considers a wide range of factors, including healthcare, education, economy, infrastructure, opportunity, fiscal stability, crime and corrections, and the natural environment. More information on these categories and what is measured in each can be found below:

Healthcare includes access, quality, and affordability of healthcare, as well as health measurements, such as obesity rates and rates of smoking. Education measures how well public schools perform in terms of testing and graduation rates, as well as tuition costs associated with higher education and college debt load. Economy looks at GDP growth, migration to the state, and new business. Infrastructure includes transportation availability, road quality, communications, and internet access. Opportunity includes poverty rates, cost of living, housing costs and gender and racial equality. Fiscal Stability considers the health of the government's finances, including how well the state balances its budget. Crime and Corrections ranks a state’s public safety and measures prison systems and their populations. Natural Environment looks at the quality of air and water and exposure to pollution.

In 2024, the annual cost for a private room in an assisted living facility in the U.S. amounted to ****** U.S. dollars - the national median price. However, cost varied greatly from one state to another. The least expensive states for a private room in assisted living were South Dakota, and Mississippi. While the most expensive states for assisted living were Hawaii and Alaska.

Quality of Life by State 2024

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1937611%2F82267b1a15f8669ec2a072972bebccb5%2Fquality-of-life-by-us-state.png?generation=1717697280376438&alt=media" alt="">

This dataset provides insights into the quality of life across different states in the United States for the year 2024. Quality of life, encompassing aspects like comfort, health, and happiness, is evaluated through various metrics including affordability, economy, education, and safety. Dive into this dataset to understand how different states fare in terms of overall quality of life and its individual components.

Columns Description

• State: The name of the U.S. state.
• QualityOfLifeTotalScore: The total score representing the overall quality of life for the respective state. This score is calculated based on various quality of life metrics.
• QualityOfLifeQualityOfLife: The score representing the quality of life aspect for the respective state. This aspect may include subjective factors related to happiness, satisfaction, and overall well-being. Higher scores may indicate a higher level of subjective well-being, happiness, or overall satisfaction among residents. Lower scores could suggest lower levels of subjective well-being.
• QualityOfLifeAffordability: The score representing the affordability aspect of the quality of life for the respective state. This aspect evaluates factors such as cost of living, housing affordability, and income levels. Higher scores typically indicate greater affordability of housing, cost of living, and basic necessities. Lower scores may suggest that these essentials are less accessible or more expensive for residents.
• QualityOfLifeEconomy: The score representing the economic aspect of the quality of life for the respective state. This aspect assesses factors such as employment opportunities, economic growth, and income distribution. Higher scores may reflect a stronger economy with more job opportunities, higher incomes, and lower levels of poverty. Lower scores might indicate economic challenges such as unemployment or income inequality.
• QualityOfLifeEducationAndHealth: The score representing the education and health aspect of the quality of life for the respective state. This aspect considers factors such as access to quality education, healthcare facilities, and overall public health indicators. Higher scores generally signify better access to quality education, healthcare services, and overall public health. Lower scores may indicate deficiencies in these areas, such as limited access to healthcare or lower educational attainment levels.
• QualityOfLifeSafety: The score representing the safety aspect of the quality of life for the respective state. This aspect evaluates factors such as crime rates, public safety measures, and community well-being initiatives. Higher scores suggest lower crime rates, better community safety, and a higher sense of security among residents. Lower scores may indicate higher crime rates or concerns about safety.

These descriptions provide an overview of what each column represents and the specific aspects of quality of life they assess for each U.S. state.

The Consumer Sentiment Index in the United States stood at 51 in November 2025. This reflected a drop of 2.6 point from the previous survey. Furthermore, this was its lowest level measured since June 2022. The index is normalized to a value of 100 in December 1964 and based on a monthly survey of consumers, conducted in the continental United States. It consists of about 50 core questions which cover consumers' assessments of their personal financial situation, their buying attitudes and overall economic conditions.

In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

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.

In 2025, the Consumer Price Index (CPI) for medical professional services in the United States was at 432.46, compared to the period from 1982 to 1984 (=100). The CPI for hospital services was at 1,102.12.

Population with Income per Capita below Living Cost: % of Total: CF: Lipetsk Region data was reported at 6.000 % in 2024. This records a decrease from the previous number of 7.000 % for 2023. Population with Income per Capita below Living Cost: % of Total: CF: Lipetsk Region data is updated yearly, averaging 10.200 % from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 30.900 % in 2000 and a record low of 6.000 % in 2024. Population with Income per Capita below Living Cost: % of Total: CF: Lipetsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA015: Population with Income per Capita below Living Cost.

Population with Income per Capita below Living Cost: % of Total: CF: Kursk Region data was reported at 6.300 % in 2024. This records a decrease from the previous number of 7.600 % for 2023. Population with Income per Capita below Living Cost: % of Total: CF: Kursk Region data is updated yearly, averaging 10.950 % from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 42.200 % in 2000 and a record low of 6.300 % in 2024. Population with Income per Capita below Living Cost: % of Total: CF: Kursk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA015: Population with Income per Capita below Living Cost.

As of September 2025, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

Population with Income per Capita below Living Cost: % of Total: NW: Novgorod Region data was reported at 8.700 % in 2024. This records a decrease from the previous number of 10.800 % for 2023. Population with Income per Capita below Living Cost: % of Total: NW: Novgorod Region data is updated yearly, averaging 15.750 % from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 34.200 % in 2000 and a record low of 8.700 % in 2024. Population with Income per Capita below Living Cost: % of Total: NW: Novgorod Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA015: Population with Income per Capita below Living Cost.

Context

This dataset contains Real Estate listings in the US broken by State and zip code.

Download

kaggle API Command !kaggle datasets download -d ahmedshahriarsakib/usa-real-estate-dataset

Content

The dataset has 1 CSV file with 10 columns -

1. realtor-data.csv (2,226,382 entries)
   • brokered by (categorically encoded agency/broker)
   • status (Housing status - a. ready for sale or b. ready to build)
   • price (Housing price, it is either the current listing price or recently sold price if the house is sold recently)
   • bed (# of beds)
   • bath (# of bathrooms)
   • acre_lot (Property / Land size in acres)
   • street (categorically encoded street address)
   • city (city name)
   • state (state name)
   • zip_code (postal code of the area)
   • house_size (house area/size/living space in square feet)
   • prev_sold_date (Previously sold date)

NB: 1. brokered by and street addresses were categorically encoded due to data privacy policy 2. acre_lot means the total land area, and house_size denotes the living space/building area

Acknowledgements

Data was collected from - - https://www.realtor.com/ - A real estate listing website operated by the News Corp subsidiary Move, Inc. and based in Santa Clara, California. It is the second most visited real estate listing website in the United States as of 2024, with over 100 million monthly active users.

Cover Image

Image by Mohamed Hassan from Pixabay

Disclaimer

The data and information in the data set provided here are intended to use for educational purposes only. I do not own any data, and all rights are reserved to the respective owners.

Inspiration

• Can we predict housing prices based on the features?
• How are housing price and location attributes correlated?
• What is the overall picture of the USA housing prices w.r.t. locations?
• Do house attributes (bedroom, bathroom count) strongly correlate with the price? Are there any hidden patterns?

Tiny House Market Outlook

According to our latest research, the tiny house market size reached USD 6.1 billion globally in 2024, demonstrating steady growth fueled by shifting consumer preferences and housing affordability challenges. The market is expected to expand at a robust CAGR of 6.9% from 2025 to 2033, reaching a forecasted value of approximately USD 11.5 billion by 2033. The primary growth driver is the increasing demand for affordable, sustainable, and flexible living solutions, especially among younger demographics and environmentally conscious consumers.

The growth trajectory of the tiny house market is significantly influenced by the rising cost of traditional housing and urbanization trends. As metropolitan areas become denser and real estate prices soar, consumers are increasingly seeking alternative housing options that offer both affordability and flexibility. Tiny houses, with their compact footprints and lower construction and maintenance costs, provide a compelling solution for individuals and families looking to achieve homeownership without the financial burden of conventional homes. Additionally, the rising interest in minimalist lifestyles and the desire to reduce personal carbon footprints have made tiny homes an attractive choice for those prioritizing sustainability.

Another key factor propelling the tiny house market is the increasing prevalence of remote work and digital nomadism. The shift towards flexible work arrangements, accelerated by global events such as the COVID-19 pandemic, has prompted many individuals to reconsider their housing needs. Tiny homes, especially mobile variants, enable a lifestyle that is not tied to a single location, allowing owners to travel or relocate as needed. This flexibility aligns well with the preferences of millennials and Gen Z consumers, who value experiences over material possessions and are more likely to embrace non-traditional living arrangements. Furthermore, advancements in off-grid technologies, such as solar panels and composting toilets, have enhanced the viability of tiny homes in remote or rural areas.

Government initiatives and regulatory reforms are also playing a pivotal role in shaping the tiny house market. In several regions, local authorities are amending zoning laws and building codes to accommodate tiny house developments, recognizing their potential to address affordable housing shortages and promote sustainable urban growth. These regulatory changes are encouraging both individual buyers and developers to invest in tiny house communities, further expanding the market. However, challenges remain in areas where regulations are less favorable, highlighting the importance of continued advocacy and policy innovation to unlock the full potential of the tiny house movement.

From a regional perspective, North America continues to dominate the tiny house market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The popularity of tiny homes in the United States and Canada can be attributed to high housing costs, a strong DIY culture, and widespread media coverage. In Europe, growing environmental awareness and government incentives for sustainable housing are driving adoption, while in Asia Pacific, rapid urbanization and the need for space-efficient solutions are fueling market growth. Emerging markets in Latin America and the Middle East & Africa are also beginning to show interest, particularly in the context of affordable housing initiatives and tourism-related applications.

Product Type Analysis

The tiny house market is segmented by product type into mobile tiny houses and stationary tiny houses, each catering to distinct consumer preferences and lifestyle needs. Mobile tiny houses, often built on trailers, offer unparalleled flexibility and mobility, making them especially popular among digital nomads, retirees, and adventure seekers. Their ability to be relocated with ease appeals to those who value freedom of movement and the opportunity to

Cost comparison table showing 2023 and 2024 median costs by location

The United States Senior Living Market Report is Segmented by Property Type (Assisted Living, Independent Living, Memory Care, Nursing Care), by Business Model (Outright Sale (Freehold), Long-Lease / Rental, Hybrid (Sale + Lease), by Age (55 To 64 Years, 65 To 74 Years, and More), and by States (Texas, California, Florida, New York, Illinois, Rest of US). The Market Forecasts are Provided in Terms of Value (USD).

Population with Income per Capita below Living Cost: % of Total: SB: Republic of Tyva data was reported at 20.400 % in 2024. This records a decrease from the previous number of 23.500 % for 2023. Population with Income per Capita below Living Cost: % of Total: SB: Republic of Tyva data is updated yearly, averaging 37.150 % from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 77.900 % in 2000 and a record low of 20.400 % in 2024. Population with Income per Capita below Living Cost: % of Total: SB: Republic of Tyva data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA015: Population with Income per Capita below Living Cost.

Baby Expense Trackers Printable Market Outlook

According to our latest research, the Global Baby Expense Trackers Printable market size was valued at $156 million in 2024 and is projected to reach $367 million by 2033, expanding at a CAGR of 9.7% during the forecast period of 2024–2033. The primary driver behind this robust growth is the rising awareness among parents and caregivers about systematic budgeting for childcare expenses, spurred by increasing global living costs and a heightened focus on financial planning for families. This trend is further reinforced by the proliferation of digital platforms, which make it easier for consumers to access, customize, and utilize printable expense tracking solutions tailored to their unique needs.

Regional Outlook

North America currently commands the largest share of the Baby Expense Trackers Printable market, accounting for approximately 41% of the global revenue in 2024. This dominance is attributed to the region’s mature digital infrastructure, high disposable incomes, and a strong culture of personal finance management among young families. The widespread adoption of online marketplaces and subscription services in the United States and Canada has significantly contributed to the uptake of printable tracking solutions. Additionally, the presence of several established players and frequent product innovations ensure that North American consumers have access to a diverse range of high-quality, customizable baby expense trackers, further consolidating the region’s leadership position.

In contrast, the Asia Pacific region is poised to be the fastest-growing market, projected to exhibit a remarkable CAGR of 13.2% through 2033. This accelerated growth is driven by rising urbanization, increasing internet penetration, and a burgeoning middle class with growing awareness of the importance of financial planning for young families. Countries such as China, India, and Japan are witnessing a surge in demand for user-friendly, affordable, and locally relevant baby expense trackers. Strategic investments by global and regional players in digital distribution channels, coupled with the rising popularity of mobile-friendly and localized printable formats, are fueling market expansion across Asia Pacific.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing baby expense trackers printable solutions, albeit at a slower pace due to certain adoption challenges. These include limited access to digital resources, lower awareness of personal finance tools, and varying cultural attitudes toward expense tracking. However, localized demand is steadily increasing as governments and non-profits promote digital literacy and financial management education. Policy initiatives aimed at supporting young families, along with the gradual proliferation of affordable internet access, are expected to unlock new growth avenues in these regions, though market penetration remains below the global average.

Report Scope