The Department of Housing Preservation and Development (HPD) reports on projects, buildings, and units that began after January 1, 2014, and are counted towards either the Housing New York plan (1/1/2014 – 12/31/2021) or the Housing Our Neighbors: A Blueprint for Housing & Homelessness plan (1/1/2022 – present).

The Department of Housing Preservation and Development (HPD) reports on projects, buildings, and units that began after January 1, 2014, and are counted towards either the Housing New York plan (1/1/2014 – 12/31/2021) or the Housing Our Neighbors: A Blueprint for Housing & Homelessness plan (1/1/2022 – present).

Analysis of ‘Governor's Report on Housing Development’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/53102481-268e-4940-97d7-a6fb5beb68a5 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset represents affordable housing development/preservation that is supported by the State of Connecticut Department of Housing. It includes units that have been completed under the current administration and when, or are actively under construction.

*Completion dates/percentages for HTCC only developments are based upon the most recently submitted quarterly statements. *Projects labeled as "Under Construction" include those that have had reported greater than 0% completed. *Projects labeled as "In Progress" include those that have received funding commitments but have not yet reported a % complete. * In some cases the Total DOH & CHFA funding exceeds Total Project Cost due to CHFA construction financing. *Only projects with a Board Approval (or application date if Board Approval N/A), Initial Close, Final Close or Construction Completion % date after 1/1/19 are to be included on list *Any Subtotal/Total amounts may be inflated due to multiple applications being captured for a single project *All projects specified as Family in the "Family or Elderly" column are non-age restrictive *Projects that have Final Closed prior to 2019 are not shown *Projects that were approved for funding or under construction but not yet complete, prior to 2019 are included

--- Original source retains full ownership of the source dataset ---

The number of manufactured home shipments in the United States has been on the rise since 2009, despite remaining substantially lower than in the 1990s. In 2022, there were about 113,000 mobile homes shipments, down from over 373,000 in 1998 - the year with the most homes shipped. Texas was the largest mobile home market and the state with the most mobile homes manufacturing plants.

Analysis of ‘Affordable Rental Housing Developments’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/4bfa4557-2f34-49d0-aaf2-1a8f112bba35 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

The rental housing developments listed below are among the thousands of affordable units that are supported by City of Chicago programs to maintain affordability in local neighborhoods. The list is updated periodically when construction is completed for new projects or when the compliance period for older projects expire, typically after 30 years. The list is provided as a courtesy to the public. It does not include every City-assisted affordable housing unit that may be available for rent, nor does it include the hundreds of thousands of naturally occurring affordable housing units located throughout Chicago without City subsidies. For information on rents, income requirements and availability for the projects listed, contact each property directly. For information on other affordable rental properties in Chicago and Illinois, call (877) 428-8844, or visit www.ILHousingSearch.org.

--- Original source retains full ownership of the source dataset ---

As of 2022, approximately 72 percent of households in the Kutai Kartanegara regency, East Kalimantan, had access to adequate and affordable housing. This was slightly below the overall rate for the province, which reached over 73 percent. The Indonesian government is currently developing the Capital City of Nusantara (Ibu Kota Nusantara/IKN), located in East Kalimantan, to replace Jakarta as the national capital. Nusantara spans across portions of North Penajam Paser and Kutai Kartanegara regencies, and its full development is aimed to be completed by 2045.

Despite the pandemic's broader economic disruptions, low interest rates in 2020 initially fueled a housing market boom driven by work-from-home orders and a shift toward residential construction. This surge was a lifeline for builders amid economic turbulence. However, the tide turned in 2022 and 2023 as the Federal Reserve's interest rate hikes curbed housing investments, dampening consumer enthusiasm and slowing residential construction activity. Low housing stock and rate cuts late in 2024 led to growth in single-family housing starts, boosting revenue. Single-family home development climbed in more affordable and less densely populated areas in 2024, but new multifamily developments have plummeted. Industry revenue has been climbing at a CAGR of 0.8% over the past five years to total an estimated $233.5 billion in 2025, including an estimated increase of 0.2% in 2025 alone. The initial boom in 2020 and 2021 led to one of the most significant expansions in home-building in recent memory, yet interest rate hikes soon tempered this growth. As smaller-scale developers struggled with escalating construction costs and regulatory hurdles, larger, financially robust companies like DR Horton, Lennar and PulteGroup managed to thrive and expand their operations. These larger companies maximized their market share, leveraging their resources to navigate the challenging economic climate and maintain momentum despite the pressures of rising material costs and labor shortages. These rising material costs and labor shortages have driven up purchase and wage costs, contributing to profit declines over the past five years. Expected interest rate cuts will boost housing developers. Developers will benefit from these favorable conditions, especially those who strategically invest in less densely populated areas to meet the growing appetite for affordable housing. Rate cuts will also provide relief to smaller housing developers more sensitive to interest rate fluctuations. Sustainability also looms on the horizon, with tax incentives and energy-efficient building standards encouraging developers to explore eco-friendly construction. Still, rising material costs and labor shortages will continue to stifle profit growth and increase housing prices. Larger companies will continue to gain market share, strategically developing homes near areas with strong job growth near new large manufacturing facilities. Industry revenue is forecast to expand at a CAGR of 1.4% to total an estimated $250.6 billion through the end of 2030.

Affordable Housing Market was valued at USD 210.41 Billion in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 8.78% through 2028.

Analysis of ‘Low Income Housing Tax Credits Awarded by HPD: Project-Level (4% Awards)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/86086259-5d52-4a0f-a164-65dd4dc43c24 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

The Department of Housing Preservation and Development (HPD) receives a sub-allocation of 9% Low Income Housing Tax Credits and allocated its credits through one competitive round each calendar year. It is also charged with allocating 4% Low Income Housing Tax Credits to projects receiving tax exempt bonds through New York City Housing Development Corporation. Each entry represents an allocation to a low income housing development project with households at or below 60% of Area Median Income.

For the Low Income Housing Tax Credits Awarded by HPD: Building-Level (4% Awards) dataset, please follow this link

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Affordable Housing by Town 2011-2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/12fb0759-dd5d-4701-a95d-3a7365723c24 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

The Affordable Housing Appeals Procedure List is published annually on or about February 1. The data for the Affordable Housing Appeals Procedure List comes from different sources including federal, state and local programs. This makes it difficult to ensure complete accuracy, so DOH asks municipalities to provide a local administrative review of and input on the street addresses of units and projects as well as information on deed-restricted units. The responses received by DOH vary widely from each municipality.

In developing the Affordable Housing Appeals Procedure List, DOH counts:

-Assisted housing units or housing receiving financial assistance under any governmental program for the construction or substantial rehabilitation of low and moderate income housing that was occupied or under construction by the end date of the report period for compilation of a given year’s list; -Rental housing occupied by persons receiving rental assistance under C.G.S. Chapter 138a (State Rental Assistance/RAP) or Section 142f of Title 42 of the U.S. Code (Section 8); -Ownership housing or housing currently financed by the Connecticut Housing Finance Authority and/or the U.S. Department of Agriculture; and -Deed-restricted properties or properties with deeds containing covenants or restrictions that require such dwelling unit(s) be sold or rented at or below prices that will preserve the unit(s) as affordable housing as defined in C.G.S. Section 8-39a for persons or families whose incomes are less than or equal to 80% of the area median income.

--- Original source retains full ownership of the source dataset ---

VITAL SIGNS INDICATOR
Housing Permits (LU3)

FULL MEASURE NAME
Permitted housing units

LAST UPDATED
February 2023

DESCRIPTION
Housing growth is measured in terms of the number of units that local jurisdictions permit throughout a given year. A permitted unit is a unit that a city or county has authorized for construction.

DATA SOURCE
California Housing Foundation/Construction Industry Research Board (CIRB) - https://www.cirbreport.org/
Construction Review report (1967-2022)

Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) - https://data.bayareametro.gov/Development/HCD-Annual-Progress-Report-Jurisdiction-Summary/nxbj-gfv7
Housing Permits Database (2014-2021)

Census Bureau Building Permit Survey - https://www2.census.gov/econ/bps/County/
Building permits by county (annual, monthly)

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Bay Area housing permits data by single/multi family come from the California Housing Foundation/Construction Industry Research Board (CIRB). Affordability breakdowns from 2014 to 2021 come from the Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) Housing Permits Database.

Single-family housing units include detached, semi-detached, row house and town house units. Row houses and town houses are included as single-family units when each unit is separated from the adjacent unit by an unbroken ground-to-roof party or fire wall. Condominiums are included as single-family units when they are of zero-lot-line or zero-property-line construction; when units are separated by an air space; or, when units are separated by an unbroken ground-to-roof party or fire wall. Multi-family housing includes duplexes, three-to-four-unit structures and apartment-type structures with five units or more. Multi-family also includes condominium units in structures of more than one living unit that do not meet the single-family housing definition.

Each multi-family unit is counted separately even though they may be in the same building. Total units is the sum of single-family and multi-family units. County data is available from 1967 whereas city data is available from 1990. City data is only available for incorporated cities and towns. All permits in unincorporated cities and towns are included under their respective county’s unincorporated total. Permit data is not available for years when the city or town was not incorporated.

Affordable housing is the total number of permitted units affordable to low and very low income households. Housing affordable to very low income households are households making below 50% of the area median income. Housing affordable to low income households are households making between 50% and 80% of the area median income. Housing affordable to moderate income households are households making below 80% and 120% of the area median income. Housing affordable to above moderate income households are households making above 120% of the area median income.

Permit data is missing for the following cities and years:
Clayton, 1990-2007
Lafayette, 1990-2007
Moraga, 1990-2007
Orinda, 1990-2007
San Ramon, 1990

Building permit data for metropolitan areas for each year is the sum of non-seasonally adjusted monthly estimates from the Census Building Permit Survey. The Bay Area values are the sum of the San Francisco-Oakland-Hayward MSA and the San Jose-Sunnyvale-Santa Clara MSA. The counties included in these areas are: San Francisco, Marin, Contra Costa, Alameda, San Mateo, Santa Clara, and San Benito.

Permit values reflect the number of units permitted in each respective year. Note that the data columns come from difference sources. The columns (SFunits, MFunits, TOTALunits, SF_Share and MF_Share) are sourced from CIRB. The columns (VeryLowunits, Lowunits, Moderateunits, AboveModerateunits, VeryLow_Share, Low_Share, Moderate_Share, AboveModerate_Share, Affordableunits and Affordableunits_Share) are sourced from the ABAG Housing Permits Database. Due to the slightly different methodologies that exist within each of those datasets, the total units from each of the two sources might not be consistent with each other.

As shown, three different data sources are used for this analysis of housing permits issued in the Bay Area. Data from the Construction Industry Research Board (CIRB) represents the best available data source for examining housing permits issued over time in cities and counties across the Bay Area, dating back to 1967. In recent years, Annual Progress Report (APR) data collected by the California Department of Housing and Community Development has been available for analyzing housing permits issued by affordability levels. Since CIRB data is only available for California jurisdictions, the U.S. Census Bureau provides the best data source for comparing housing permits issued across different metropolitan areas. Notably, annual permit totals for the Bay Area differ across these three data sources, reflecting the limitations of needing to use different data sources for different purposes.

The Housing Affordability Index value in the United States plummeted in 2022, surpassing the historical record of ***** index points in 2006. In 2024, the housing affordability index measured **** index points, making it the second-worst year for homebuyers since the start of the observation period. What does the Housing Affordability Index mean? The Housing Affordability Index uses data provided by the National Association of Realtors (NAR). It measures whether a family earning the national median income can afford the monthly mortgage payments on a median-priced existing single-family home. An index value of 100 means that a family has exactly enough income to qualify for a mortgage on a home. The higher the index value, the more affordable a house is to a family. Key factors that drive the real estate market Income, house prices, and mortgage rates are some of the most important factors influencing homebuyer sentiment. When incomes increase, consumer power also increases. The median household income in the United States declined in 2022, affecting affordability. Additionally, mortgage interest rates have soared, adding to the financial burden of homebuyers. The sales price of existing single-family homes in the U.S. has increased year-on-year since 2011 and reached ******* U.S. dollars in 2023.

As of May 2025, there were nearly *** million housing units completed across the north Indian state of Uttar Pradesh within the "housing for all" (HFA) program since 2014. The HFA-program is part of the Pradhan Mantri Awas Yojana - Urban scheme of the Indian government. What is affordable housing? The right to housing is recognized as one of the very basic human rights in the Universal Declaration of Human Rights by the United Nations. The basic aim is to provide shelter for every human. The next step is to establish “adequate housing”. Thereby, a few conditions must be met to differentiate basic shelter from adequate housing. One of these conditions is affordability. From a broader perspective, affordability can be measured by correlating income and housing expenses. From a narrower perspective, the costs for housing must not compromise other basic rights such as the right to food or family well-being. Government schemes on affordability Indian governments since independence have focused on the issue of affordable housing in the context of poverty reduction. In 2015, the government announced a “housing for all” program that aimed at providing a safe home to every Indian by 2022. The existing Indira Awas Yojana was renamed in Pradhan Mantri Awas Yojana in the same year and split into one scheme for the urban and one for the rural population. Furthermore, the introduction of Real Estate Regulation Authorities in 2017 is meant to increase transparency on the market and strengthen the rights of buyers.

HUD's LIHTC database contains information on 53,032 projects and 3.65 million housing units placed in service between 1987 and 2022. Data for properties placed in service in 2023 will be collected in the fall of 2024 and added to this database in the spring of 2025. The database includes project address, number of units and low-income units, number of bedrooms, year the credit was allocated, year the project was placed in service, whether the project was new construction or rehab, type of credit provided, and other sources of project financing. The database has been geocoded, enabling researchers to look at the geographical distribution and neighborhood characteristics of tax credit projects. It may also help show how incentives to locate projects in low-income areas and other underserved markets are working. With the continued support of the national LIHTC database, HUD hopes to enable researchers to learn more about the effects of the tax credit program.Summary of filesIn the zip file:LIHTC Data Dictionary 2022.PDF - The data dictionary for the LIHTC database (multiple address data use same formats) in Adobe Acrobat.LIHTCPUB.ACCDB - The LIHTC Database in MS Access format. This file also includes building addresses from HUD’s LIHTC tenant data collection.LIHTCPUB.CSV - The LIHTC Database in CSV format.missing data.PDF - Percent of Projects with Missing Data by Variable and Year Placed in Service

The India Residential Real Estate Market is experiencing robust growth, projected to reach a market size of $227.26 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 24.77% from 2025 to 2033. This expansion is driven by several factors, including a burgeoning middle class with increasing disposable incomes, favorable government policies promoting affordable housing, and urbanization trends leading to a significant demand for residential properties across major metropolitan areas. The market is segmented into Condominiums and Apartments and Villas and Landed Houses, with both segments contributing significantly to overall growth. Key players such as DLF, Oberoi Realty, and Godrej Properties are shaping the market landscape through large-scale projects and innovative offerings. However, challenges remain, including high construction costs, regulatory complexities, and land acquisition hurdles, which could potentially moderate growth in certain regions. The forecast suggests continued market expansion, particularly in high-growth urban centers, fueled by ongoing infrastructure development and improved connectivity. The competitive landscape is intense, with both established players and new entrants vying for market share. The increasing preference for luxury apartments and sustainable housing options presents opportunities for developers to cater to evolving consumer preferences. Government initiatives focusing on affordable housing schemes are expected to further stimulate demand, particularly in the affordable housing segment. The market's trajectory suggests a positive outlook, although careful consideration of macroeconomic factors and potential risks is crucial for informed decision-making. Continued monitoring of evolving consumer preferences, technological advancements, and regulatory changes will be essential for sustained success in this dynamic market. This report provides a detailed analysis of the Indian residential real estate market, covering the historical period (2019-2024), the base year (2025), and forecasting the market's trajectory until 2033. It delves into market size, segmentation, key trends, growth drivers, challenges, and significant developments, offering valuable insights for investors, developers, and stakeholders. The report leverages data encompassing condominiums and apartments, villas and landed houses, and examines the impact of key players and regulatory changes. This in-depth analysis will help you navigate the complexities of this dynamic market and make informed decisions. Recent developments include: October 2022- Shriram Properties Ltd and ASK Property Fund agreed to establish an INR 500 crore (USD 608.98 million) investment platform to acquire housing projects. Both companies have signed an agreement to establish an investment platform to acquire residential real estate projects. Shriram and ASK will co-invest in plotted residential development projects in Bengaluru, Chennai, and Hyderabad as part of the platform agreement., October 2022- Magnolia Quality Development Corporation (MQDC), a Bangkok-based property development firm, was in talks with multiple landowners to acquire a large plot for a residential project in the NCR. The company plans to launch its flagship luxury residential real estate project in India and is discussing a possible transaction with property consultants and developers.. Key drivers for this market are: Growing urban population driving the growth of transportation infrastructure., Sultanate's Economic Diversification Plan (Vision 2040) to provide new growth to the market. Potential restraints include: Delay in project approvals, High cost of materials. Notable trends are: Increasing Demand for Big Residential Spaces Driving the Market.

Analysis of ‘City of Austin Affordable Housing Inventory’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5e50d9d0-64dd-4111-8dbe-581fab5fe2f4 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

The City of Austin Affordable Housing Inventory (AHI) includes all income-restricted affordable units in developments funded through the Housing Development Assistance Programs sand incentivized through Development Incentive Programs that are currently affordable. Projects within the AHI have either already been completed or are currently being developed. No warranty is made by the City of Austin regarding the specific accuracy or completeness of this dataset.

--- Original source retains full ownership of the source dataset ---

These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

The Path Forward – Strategies for Success was accepted by Volusia County Council in July of 2022 as an outline of recommendations to increase and maintain affordable housing in Volusia County. The ten strategies in the plan were developed based on input from the Affordable Housing Initiative, three affinity groups, and the Affordable Housing Advisory Committee. The plan is intended to be a five-year plan and the action steps related to each strategy are shown by anticipated accomplishment year. The plan, strategies, and steps may evolve as progress is made, new topics emerge, and new direction is received. Click each strategy to view more information about the timeframe, action steps and current status.