Price to Rent Ratio in the United States increased to 134.44 in the fourth quarter of 2024 from 133.75 in the third quarter of 2024. This dataset includes a chart with historical data for the United States Price to Rent Ratio.

Price to Rent Ratio in Canada decreased to 134.71 in the first quarter of 2025 from 134.87 in the fourth quarter of 2024. This dataset includes a chart with historical data for Canada Price to Rent Ratio.

BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro data was reported at 218.732 2010=100 in Mar 2025. This records an increase from the previous number of 215.570 2010=100 for Feb 2025. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro data is updated monthly, averaging 140.566 2010=100 from Jan 2008 (Median) to Mar 2025, with 207 observations. The data reached an all-time high of 218.732 2010=100 in Mar 2025 and a record low of 70.002 2010=100 in Jun 2008. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Global Database’s Brazil – Table BR.RKB005: Real Estate: FipeZap House Asking Price Index: Rent. The FipeZap Index uses announcements of sale or rental of apartments ready registered in many websites as data sources.

VITAL SIGNS INDICATOR Home Prices (EC7)

FULL MEASURE NAME Home Prices

LAST UPDATED August 2019

DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

VITAL SIGNS INDICATOR Home Prices (EC7)

FULL MEASURE NAME Home Prices

LAST UPDATED August 2019

DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

BR: FipeZap: House Asking Price Index: Rent: São Paulo: 1 Bedroom data was reported at 248.396 2010=100 in Mar 2025. This records an increase from the previous number of 245.521 2010=100 for Feb 2025. BR: FipeZap: House Asking Price Index: Rent: São Paulo: 1 Bedroom data is updated monthly, averaging 144.731 2010=100 from Jan 2008 (Median) to Mar 2025, with 207 observations. The data reached an all-time high of 248.396 2010=100 in Mar 2025 and a record low of 69.277 2010=100 in Jan 2008. BR: FipeZap: House Asking Price Index: Rent: São Paulo: 1 Bedroom data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Global Database’s Brazil – Table BR.RKB005: Real Estate: FipeZap House Asking Price Index: Rent. The FipeZap Index uses announcements of sale or rental of apartments ready registered in many websites as data sources.

The dataset mainly provides actual information about pre-sale house transactions declared by applicants nationwide, including actual transaction prices and key attributes such as area, land use zoning, and other information. (Provide MANIFEST.CSV, schema-main.csv, schema-build.csv, schema-land.csv, schema-park.csv) Released once on the 1st, 11th, and 21st of each month.

BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 3 Bedrooms data was reported at 200.638 2010=100 in Mar 2025. This records an increase from the previous number of 199.274 2010=100 for Feb 2025. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 3 Bedrooms data is updated monthly, averaging 131.187 2010=100 from Jan 2008 (Median) to Mar 2025, with 207 observations. The data reached an all-time high of 200.638 2010=100 in Mar 2025 and a record low of 67.836 2010=100 in Feb 2008. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 3 Bedrooms data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Global Database’s Brazil – Table BR.RKB005: Real Estate: FipeZap House Asking Price Index: Rent. The FipeZap Index uses announcements of sale or rental of apartments ready registered in many websites as data sources.

BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 1 Bedroom data was reported at 246.678 2010=100 in Mar 2025. This records an increase from the previous number of 241.883 2010=100 for Feb 2025. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 1 Bedroom data is updated monthly, averaging 151.143 2010=100 from Jan 2008 (Median) to Mar 2025, with 207 observations. The data reached an all-time high of 246.678 2010=100 in Mar 2025 and a record low of 65.125 2010=100 in Aug 2008. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 1 Bedroom data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Global Database’s Brazil – Table BR.RKB005: Real Estate: FipeZap House Asking Price Index: Rent. The FipeZap Index uses announcements of sale or rental of apartments ready registered in many websites as data sources.

BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 2 Bedrooms data was reported at 217.007 2010=100 in Mar 2025. This records an increase from the previous number of 213.582 2010=100 for Feb 2025. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 2 Bedrooms data is updated monthly, averaging 140.129 2010=100 from Jan 2008 (Median) to Mar 2025, with 207 observations. The data reached an all-time high of 217.007 2010=100 in Mar 2025 and a record low of 65.113 2010=100 in Jun 2008. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 2 Bedrooms data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Global Database’s Brazil – Table BR.RKB005: Real Estate: FipeZap House Asking Price Index: Rent. The FipeZap Index uses announcements of sale or rental of apartments ready registered in many websites as data sources.

Price to Rent Ratio in the United Kingdom decreased to 113.62 in the fourth quarter of 2024 from 114.08 in the third quarter of 2024. This dataset includes a chart with historical data for the United Kingdom Price to Rent Ratio.

Housing Index in Hong Kong decreased to 135.16 points in May 25 from 136.24 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

BR: FipeZap: House Asking Price Index: Rent: São Paulo: 4 Bedrooms or More data was reported at 184.102 2010=100 in Jan 2025. This records an increase from the previous number of 182.925 2010=100 for Dec 2024. BR: FipeZap: House Asking Price Index: Rent: São Paulo: 4 Bedrooms or More data is updated monthly, averaging 136.033 2010=100 from Jan 2008 (Median) to Jan 2025, with 205 observations. The data reached an all-time high of 184.102 2010=100 in Jan 2025 and a record low of 75.393 2010=100 in Jan 2008. BR: FipeZap: House Asking Price Index: Rent: São Paulo: 4 Bedrooms or More data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Global Database’s Brazil – Table BR.RKB005: Real Estate: FipeZap House Asking Price Index: Rent. The FipeZap Index uses announcements of sale or rental of apartments ready registered in many websites as data sources.

FipeZap House Asking Price Index: Sales: Average Price: Broad data was reported at 7,182.229 BRL/sq m in Jun 2019. This records a decrease from the previous number of 7,184.350 BRL/sq m for May 2019. FipeZap House Asking Price Index: Sales: Average Price: Broad data is updated monthly, averaging 6,448.389 BRL/sq m from Jan 2008 (Median) to Jun 2019, with 138 observations. The data reached an all-time high of 7,224.051 BRL/sq m in Feb 2017 and a record low of 2,318.617 BRL/sq m in Jan 2008. FipeZap House Asking Price Index: Sales: Average Price: Broad data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Brazil Premium Database’s Construction and Properties Sector – Table BR.EK014: Real Estate: FipeZap House Asking Price Index: Rent: Average Price.

About this Dataset

Recently verified (1/5/18) list of attorneys in the greater SF Bay Area. We guaranty our list and will replace any emails that bounce from this list. We offer our lists for hundreds, often thousands less than other email list providers. If you are thinking about renting an email list, we offer our lists for sale at nearly the same price as most list rental companies. Why rent when you can buy it for the same price?

Category

Attorney email Lists

Keywords

attorneys,lawyers,california

Row Count

8592

Price

$399.00

About this Dataset

Recently verified (1/5/18) list of attorneys in the greater Los Angeles Area. We guaranty our list and will replace any emails that bounce from this list. Whether you are marketing to LA attorneys, looking for a new job, or performing market research our list provides the mailing address, phone, and email address you need to run any kind of campaign. Please send us any questions you have about our list and we will respond shortly. We offer our lists for hundreds, often thousands less than other email list providers. If you are thinking about renting an email list, we offer our lists for sale at nearly the same price as most list rental companies. Why rent when you can buy it for the same price?

Category

Attorney email Lists

Keywords

attorneys,lawyers,LA,los,angeles

Row Count

13372

Price

$499.99

About this Dataset

Recently verified (1/5/18) list of attorneys in the greater South Florida Area including Miami, Fort Lauderdale, and surrounding areas. We guaranty our list and will replace any emails that bounce from this list. Whether you are marketing to Florida attorneys, looking for a new job, or performing market research our list provides the mailing address, phone, and email address you need to run any kind of campaign. Please send us any questions you have about our list and we will respond shortly. We offer our lists for hundreds, often thousands less than other email list providers. If you are thinking about renting an email list, we offer our lists for sale at nearly the same price as most list rental companies. Why rent when you can buy it for the same price?

Category

Attorney email Lists

Keywords

attorneys,lawyers,miami,florida,email

Row Count

10645

Price

$499.99

Abstract copyright UK Data Service and data collection copyright owner.

A series of surveys were carried out to provide factual and detailed information on the performance of 6 local authorities in council house allocation, improvement grants, council mortgages and council house sales. The information was intended to support inter-authority comparisons, and to check on variability of policy and practice. The emphasis was on the extent to which housing need was being met and housing opportunities created.
Main Topics:
Attitudinal/Behavioural Questions (SN: 205)
This dataset records information collected from the West Bromwich Waiting List.
Type of list, length of application, applicant's marital and family situation, whether baby expected at application data, 'points' (total and detailed breakdown, e.g. size of family points, shared accommodation points). Period of residence/employment in West Bromwich County Borough, tenure, household size and type, bedrooms for applicant's family, use of separate living room, whether family separated by accommodation (length of time), other persons in dwelling, amenities, any personal disabilities, cleanliness. Type of dwelling recommended/allocated, number of bedrooms needed, area, offers made, rent/floor area allocated, rateable value allowed, age/grade choice and allocation, category of tenant, origin of letting, present location, location allocated, comparison of density of occupation (present and previous).
Background Variables (SN: 205)
Age, sex, ethnic origin, household status, place of residence, number of children less than/over 16 years of age, number under 5 years of age.
Attitudinal/Behavioural Questions (SN: 263, 268, 271, 274, 277 and 280)
Type of list, type of house, tenure, number of bedrooms, whether living room shared, other persons in house, standard of decorations. Type of house wanted, reasons for application, offers made, rent record. Expectant mother at application, medical claims 'points'. Required: type of dwelling, number of bedrooms, garage or car space. Location, age and grade of house (chosen and allocated). Present, chosen and allocated density of occupation. Floor space allocated.
Background Variables (SN: 263, 268, 271, 274, 277 and 280)
Age, marital status, place of birth, children 16 and under/5 and under, household size and type, length of residence at present address and in UK.
Attitudinal/Behavioural Questions (SN: 264)
Length of residence, whether on council waiting list, owner occupier, whether other property owned, present rent, rent willing to pay, general condition of property, cleanliness, rent record, medical problems, offers made, type of dwelling allocated, rent allocated, rateable value allocated, category of tenant, origin of letting, present, chosen and allocated location, age and grade of house, density of occupation allocated.
Background Variables (SN: 264)
Age, children 15 and under/5 and under, household type and size, number in employment, total income, car ownership.
Attitudinal/Behavioural Questions (SN: 265)
Size and age of house, mortgage intention, market price, sale price, % discount, market price above construction cost, length of tenancy, reasons for withdrawal, rent record, previous tenure, family size on application, whether still at same address, density of occupation, grade of estate, car parking facilities.
Background Variables (SN: 265)
Age, children 15 and 5 and under, household type.
Attitudinal/Behavioural Questions (SN: 266)
Term of loan sought, reference satisfactory, income satisfactory, price, loan sought, valuation, advance approved, balance of annual repayments, valuation as % price, loan granted as % price, loan approved as % valuation, loan approved as % price, time taken for approval, whether applicant is tenant, whether part of house would be let in future, freehold or leasehold, rateable value, notices to repair outstanding, type of property, number of bedrooms, garden, garage, hot water system, age of buildings, annual basic earnings, overtime, total earnings, total household income, annual repayment as % applicant's annual earnings, annual repayments as % household annual earnings, mortgage held.
Background Variables (SN: 266)
Age, place of birth, family size, social class.
Variables (SN: 267, 270, 273, 276 and 279)
Type of grant, nature of work, cost approved, maximum grant, age of property, tenure, mortgage, cost of improvement, cost of repairs as % approved costs, grant as % total costs, total cost of work, grant approved, date of application, time taken from application to approval, time taken from approval to completion, time taken from application to completion, area, house type.
Attitudinal/Behavioural Questions (SN: 269, 272, 275, 278 and 281)
Period of loan sought, income status, period of loan granted, category of tenant, price, loan applied for, valuation,...

Abstract copyright UK Data Service and data collection copyright owner.

A series of surveys were carried out to provide factual and detailed information on the performance of 6 local authorities in council house allocation, improvement grants, council mortgages and council house sales. The information was intended to support inter-authority comparisons, and to check on variability of policy and practice. The emphasis was on the extent to which housing need was being met and housing opportunities created.
Main Topics:
Attitudinal/Behavioural Questions (SN: 205)
This dataset records information collected from the West Bromwich Waiting List.
Type of list, length of application, applicant's marital and family situation, whether baby expected at application data, 'points' (total and detailed breakdown, e.g. size of family points, shared accommodation points). Period of residence/employment in West Bromwich County Borough, tenure, household size and type, bedrooms for applicant's family, use of separate living room, whether family separated by accommodation (length of time), other persons in dwelling, amenities, any personal disabilities, cleanliness. Type of dwelling recommended/allocated, number of bedrooms needed, area, offers made, rent/floor area allocated, rateable value allowed, age/grade choice and allocation, category of tenant, origin of letting, present location, location allocated, comparison of density of occupation (present and previous).
Background Variables (SN: 205)
Age, sex, ethnic origin, household status, place of residence, number of children less than/over 16 years of age, number under 5 years of age.
Attitudinal/Behavioural Questions (SN: 263, 268, 271, 274, 277 and 280)
Type of list, type of house, tenure, number of bedrooms, whether living room shared, other persons in house, standard of decorations. Type of house wanted, reasons for application, offers made, rent record. Expectant mother at application, medical claims 'points'. Required: type of dwelling, number of bedrooms, garage or car space. Location, age and grade of house (chosen and allocated). Present, chosen and allocated density of occupation. Floor space allocated.
Background Variables (SN: 263, 268, 271, 274, 277 and 280)
Age, marital status, place of birth, children 16 and under/5 and under, household size and type, length of residence at present address and in UK.
Attitudinal/Behavioural Questions (SN: 264)
Length of residence, whether on council waiting list, owner occupier, whether other property owned, present rent, rent willing to pay, general condition of property, cleanliness, rent record, medical problems, offers made, type of dwelling allocated, rent allocated, rateable value allocated, category of tenant, origin of letting, present, chosen and allocated location, age and grade of house, density of occupation allocated.
Background Variables (SN: 264)
Age, children 15 and under/5 and under, household type and size, number in employment, total income, car ownership.
Attitudinal/Behavioural Questions (SN: 265)
Size and age of house, mortgage intention, market price, sale price, % discount, market price above construction cost, length of tenancy, reasons for withdrawal, rent record, previous tenure, family size on application, whether still at same address, density of occupation, grade of estate, car parking facilities.
Background Variables (SN: 265)
Age, children 15 and 5 and under, household type.
Attitudinal/Behavioural Questions (SN: 266)
Term of loan sought, reference satisfactory, income satisfactory, price, loan sought, valuation, advance approved, balance of annual repayments, valuation as % price, loan granted as % price, loan approved as % valuation, loan approved as % price, time taken for approval, whether applicant is tenant, whether part of house would be let in future, freehold or leasehold, rateable value, notices to repair outstanding, type of property, number of bedrooms, garden, garage, hot water system, age of buildings, annual basic earnings, overtime, total earnings, total household income, annual repayment as % applicant's annual earnings, annual repayments as % household annual earnings, mortgage held.
Background Variables (SN: 266)
Age, place of birth, family size, social class.
Variables (SN: 267, 270, 273, 276 and 279)
Type of grant, nature of work, cost approved, maximum grant, age of property, tenure, mortgage, cost of improvement, cost of repairs as % approved costs, grant as % total costs, total cost of work, grant approved, date of application, time taken from application to approval, time taken from approval to completion, time taken from application to completion, area, house type.
Attitudinal/Behavioural Questions (SN: 269, 272, 275, 278 and 281)
Period of loan sought, income status, period of loan granted, category of tenant, price, loan applied for, valuation,...

BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 4 Bedrooms or More data was reported at 174.554 2010=100 in Mar 2025. This records an increase from the previous number of 174.237 2010=100 for Feb 2025. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 4 Bedrooms or More data is updated monthly, averaging 126.925 2010=100 from Jan 2008 (Median) to Mar 2025, with 207 observations. The data reached an all-time high of 174.554 2010=100 in Mar 2025 and a record low of 77.278 2010=100 in Jan 2008. BR: FipeZap: House Asking Price Index: Rent: Rio de Janeiro: 4 Bedrooms or More data remains active status in CEIC and is reported by Institute of Economic Research Foundation. The data is categorized under Global Database’s Brazil – Table BR.RKB005: Real Estate: FipeZap House Asking Price Index: Rent. The FipeZap Index uses announcements of sale or rental of apartments ready registered in many websites as data sources.