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Mortgage Application in the United States decreased by 1.80 percent in the week ending October 10 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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MBA Mortgage Market Index in the United States decreased to 317.20 points in October 10 from 323.10 points in the previous week. This dataset includes a chart with historical data for the United States MBA Mortgage Market Index.
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United States WAS: Number of Applications: Purchase: 1-Wk Change data was reported at -0.515 % in 20 Jul 2018. This records a decrease from the previous number of 18.881 % for 13 Jul 2018. United States WAS: Number of Applications: Purchase: 1-Wk Change data is updated weekly, averaging -0.300 % from Jan 1990 (Median) to 20 Jul 2018, with 1489 observations. The data reached an all-time high of 118.100 % in 11 Jan 1991 and a record low of -48.800 % in 27 Dec 2013. United States WAS: Number of Applications: Purchase: 1-Wk Change data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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Graph and download economic data for New Home Mortgage Applications for United States (M0264AUSM500NNBR) from Jan 1938 to Dec 1941 about mortgage, new, housing, and USA.
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MBA Purchase Index in the United States decreased to 166 points in October 10 from 170.60 points in the previous week. This dataset includes a chart with historical data for the United States MBA Purchase Index.
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TwitterThe MBA Purchase Index is a weekly measure of mortgage loan application volume for home purchases in the United States, compiled by the Mortgage Bankers Association.
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United States WAS: Dollar Vol of Applications: Conventional: Purchase: 1-Wk Change data was reported at 0.900 % in 20 Jul 2018. This records a decrease from the previous number of 17.500 % for 13 Jul 2018. United States WAS: Dollar Vol of Applications: Conventional: Purchase: 1-Wk Change data is updated weekly, averaging -0.300 % from Jan 1999 (Median) to 20 Jul 2018, with 1021 observations. The data reached an all-time high of 90.700 % in 09 Jan 2015 and a record low of -50.300 % in 27 Dec 2013. United States WAS: Dollar Vol of Applications: Conventional: Purchase: 1-Wk Change data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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United States WAS: Dollar Vol of Applications: Government: Purchase: 1-Wk Change data was reported at -3.300 % in 20 Jul 2018. This records a decrease from the previous number of 15.900 % for 13 Jul 2018. United States WAS: Dollar Vol of Applications: Government: Purchase: 1-Wk Change data is updated weekly, averaging -0.300 % from Jan 1999 (Median) to 20 Jul 2018, with 1021 observations. The data reached an all-time high of 126.300 % in 09 Jan 2004 and a record low of -53.200 % in 26 Nov 1999. United States WAS: Dollar Vol of Applications: Government: Purchase: 1-Wk Change data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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United States WAS: Mortgage Loan Applications Index: FHA: sa: Purchase data was reported at 93.700 25Jul2014=100 in 20 Jul 2018. This records a decrease from the previous number of 100.100 25Jul2014=100 for 13 Jul 2018. United States WAS: Mortgage Loan Applications Index: FHA: sa: Purchase data is updated weekly, averaging 103.250 25Jul2014=100 from Jan 2014 (Median) to 20 Jul 2018, with 236 observations. The data reached an all-time high of 146.300 25Jul2014=100 in 02 Oct 2015 and a record low of 64.400 25Jul2014=100 in 21 Feb 2014. United States WAS: Mortgage Loan Applications Index: FHA: sa: Purchase data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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Dataset from Housing & Development Board. For more information, visit https://data.gov.sg/datasets/d_fbb057402a1d4a953a9b46babbdbf1fc/view
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United States WAS: Conventional Loans % the Total Purchase Loan Ammounts data was reported at 79.900 % in 20 Jul 2018. This records an increase from the previous number of 79.200 % for 13 Jul 2018. United States WAS: Conventional Loans % the Total Purchase Loan Ammounts data is updated weekly, averaging 78.800 % from Jan 2011 (Median) to 20 Jul 2018, with 393 observations. The data reached an all-time high of 81.700 % in 20 Oct 2017 and a record low of 60.900 % in 15 Apr 2011. United States WAS: Conventional Loans % the Total Purchase Loan Ammounts data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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United States WAS: Government Loans % the Total Purchase Loan Applications data was reported at 25.900 % in 20 Jul 2018. This records a decrease from the previous number of 26.300 % for 13 Jul 2018. United States WAS: Government Loans % the Total Purchase Loan Applications data is updated weekly, averaging 29.600 % from Jan 2011 (Median) to 20 Jul 2018, with 393 observations. The data reached an all-time high of 47.000 % in 15 Apr 2011 and a record low of 25.200 % in 20 Oct 2017. United States WAS: Government Loans % the Total Purchase Loan Applications data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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The Home Mortgage Disclosure Act (HMDA): Loan Application Register (LAR) and Transmittal Sheet (TS) Raw Data, 2012 contains information collected in calendar year 2011. The HMDA, enacted by Congress in 1975, requires most mortgage lenders located in metropolitan areas to report data about their housing-related lending activity. The HMDA data were collected from 7,632 lending institutions and cover approximately 14.7 million home purchase and home improvement loans and refinancings, including loan originations, loan purchases, and applications that were denied, incomplete, or withdrawn. The Private Mortgage Insurance Companies (PMIC) data refer to applications for mortgage insurance to insure home purchase mortgages and to insure mortgages to refinance existing obligations. Part 1, HMDA Transmittal Sheet (TS), and Part 4, PMIC Transmittal Sheet (TS), include information submitted by reporting institutions with the Loan Application Register (LAR), such as the reporting institution's name, address, and Tax ID. Part 2, HMDA Reporter Panel, and Part 5, PMIC Reporter Panel, contain information on all institutions that reported data for activity year 2011. Part 3, HMDA MSA Offices, and Part 6, PMIC MSA Offices, contain information on all metropolitan statistical areas in the data. Parts 7 through 796 contain HMDA and PMIC Loan Application Register (LAR) files at the national level, at the agency level, and by MSA/MD. With some exceptions, for each transaction the institution reported data about the loan (or application), such as the type and amount of the loan made (or applied for) and, in limited circumstances, its price, the disposition of the application, such as whether it was denied or resulted in an origination of a loan, the property to which the loan relates, such as its type (single-family versus multi-family), and location (including the census tract), the sale of the loan, if it was sold, and the applicant's and co-applicant's ethnicity, race, sex, and income.
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using Home Mortgage Disclosure Act (HMDA) data to show mortgage loan applications, originations, denials, and applicant income, for 2013, by census tract in the Atlanta Region.
Attributes:
GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)
County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)
Area_Name = 2010 Census tract number and county name
Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)
Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)
Planning_Region = Planning region designation for ARC purposes
AcresLand = Land area within the tract (in acres)
AcresWater = Water area within the tract (in acres)
AcresTotal = Total area within the tract (in acres)
SqMi_Land = Land area within the tract (in square miles)
SqMi_Water = Water area within the tract (in square miles)
SqMi_Total = Total area within the tract (in square miles)
TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
CountyName = County Name
ALL_LOAN_APPS_2013 = All Loan Applications, 2013
ALL_LOAN_ORIG_2013 = All Loan Originations, 2013
ALL_LOAN_DENIALS_2013 = All Loan Denials, 2013
HOME_PURCH_LOAN_APPS_2013 = Home Purchase Loan Applications, 2013
HOME_PURCH_LOAN_ORIG_2013 = Home Purchase Loan Originations, 2013
HOME_PURCH_LOAN_DENIALS_2013 = Home Purchase Loan Denials, 2013
HOME_REFI_LOAN_APPS_2013 = Home Refinancing Loan Applications, 2013
HOME_REFI_LOAN_ORIG_2013 = Home Refinancing Loan Originations, 2013
HOME_REFI_LOAN_DENIALS_2013 = Home Refinancing Loan Denials, 2013
MED_AMT_LOAN_APLD_1K = Median Amount of Loan Applied for, $1k
MED_AMT_LOAN_ORIG_1K = Median Amount of Loan Originated, $1k
MED_AMT_LOAN_DEND_1K = Median Amount of Loan Denied, $1k
MED_AMT_HOME_PURCH_LOAN_APLD_1K = Median Amount of Home Purchase Loan Applied for, $1k
MED_AMT_HOME_PURCH_LOAN_ORIG_1K = Median Amount of Home Purchase Loan Originated, $1k
MED_AMT_HOME_PURCH_LOAN_DEND_1K = Median Amount of Home Purchase Loan Denied, $1k
MED_AMT_HOME_REFI_LOAN_APLD_1K = Median Amount of Home Refinancing Loan Applied for, $1k
MED_AMT_HOME_REFI_LOAN_ORIG_1K = Median Amount of Home Refinancing Loan Originated, $1k
MED_AMT_HOME_REFI_LOAN_DEND_1K = Median Amount of Home Refinancing Loan Denied, $1k
MED_INCOME_FOR_LOAN_APLD_1K = Median Applicant Income for Loan Applied for, $1k
MED_INCOME_FOR_LOAN_ORIG_1K = Median Applicant Income for Loan Originated, $1k
MED_INCOME_FOR_LOAN_DEND_1K = Median Applicant Income for Loan Denied, $1k
MED_INCOME_PURCH_LOAN_APLD_1K = Median Applicant Income for Home Purchase Loan Applied for, $1k
MED_INCOME_PURCH_LOAN_ORIG_1K = Median Applicant Income for Home Purchase Loan Originated, $1k
MED_INCOME_PURCH_LOAN_DEND_1K = Median Applicant Income for Home Purchase Loan Denied, $1k
MED_INCOME_REFI_LOAN_APLD_1K = Median Applicant Income for Home Refinancing Loan Applied for, $1k
MED_INCOME_REFI_LOAN_ORIG_1K = Median Applicant Income for Home Refinancing Loan Originated, $1k
MED_INCOME_REFI_LOAN_DEND_1K = Median Applicant Income for Home Refinancing Loan Denied, $1k
LOANS_ORIG_PER_SQ_MI_2013 = Loans Originated per Square Mile, 2013
HOME_PURCH_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Purchase per Square Mile, 2013
HOME_REFI_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Refinancing per Square Mile, 2013
PCT_LOAN_APPS_ORIG_2013 = % of Loan Applications Originated, 2013
PCT_HOME_PURCH_LN_APPS_ORG_2013 = % of Home Purchase Loan Applications Originated, 2013
PCT_HOME_REFI_LN_APPS_ORG_2013 = % of Home Refinancing Loan Applications Originated, 2013
last_edited_date = Last date the feature was edited by ARC
Source: Home Mortgage Disclosure Act (HMDA), Atlanta Regional Commission
Date: 2013
For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
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United States WAS: Average Loan Size: VA: Purchase data was reported at 276.300 USD th in 20 Jul 2018. This records a decrease from the previous number of 281.000 USD th for 13 Jul 2018. United States WAS: Average Loan Size: VA: Purchase data is updated weekly, averaging 256.200 USD th from Jan 2014 (Median) to 20 Jul 2018, with 236 observations. The data reached an all-time high of 285.500 USD th in 06 Apr 2018 and a record low of 220.400 USD th in 17 Jan 2014. United States WAS: Average Loan Size: VA: Purchase data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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United States WAS: Average Loan Size: Government: Purchase data was reported at 238.200 USD th in 20 Jul 2018. This records a decrease from the previous number of 240.600 USD th for 13 Jul 2018. United States WAS: Average Loan Size: Government: Purchase data is updated weekly, averaging 127.700 USD th from Jan 1990 (Median) to 20 Jul 2018, with 1490 observations. The data reached an all-time high of 242.900 USD th in 08 Jun 2018 and a record low of 66.700 USD th in 18 Sep 1992. United States WAS: Average Loan Size: Government: Purchase data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.
People Data Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:
Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).
People Data Use Cases:
360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation.
Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment
Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.
Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.
Using Factori People Data you can solve use cases like:
Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.
Lookalike Modeling
Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers
And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data
Here's the schema of People Data:
person_id
first_name
last_name
age
gender
linkedin_url
twitter_url
facebook_url
city
state
address
zip
zip4
country
delivery_point_bar_code
carrier_route
walk_seuqence_code
fips_state_code
fips_country_code
country_name
latitude
longtiude
address_type
metropolitan_statistical_area
core_based+statistical_area
census_tract
census_block_group
census_block
primary_address
pre_address
streer
post_address
address_suffix
address_secondline
address_abrev
census_median_home_value
home_market_value
property_build+year
property_with_ac
property_with_pool
property_with_water
property_with_sewer
general_home_value
property_fuel_type
year
month
household_id
Census_median_household_income
household_size
marital_status
length+of_residence
number_of_kids
pre_school_kids
single_parents
working_women_in_house_hold
homeowner
children
adults
generations
net_worth
education_level
occupation
education_history
credit_lines
credit_card_user
newly_issued_credit_card_user
credit_range_new
credit_cards
loan_to_value
mortgage_loan2_amount
mortgage_loan_type
mortgage_loan2_type
mortgage_lender_code
mortgage_loan2_render_code
mortgage_lender
mortgage_loan2_lender
mortgage_loan2_ratetype
mortgage_rate
mortgage_loan2_rate
donor
investor
interest
buyer
hobby
personal_email
work_email
devices
phone
employee_title
employee_department
employee_job_function
skills
recent_job_change
company_id
company_name
company_description
technologies_used
office_address
office_city
office_country
office_state
office_zip5
office_zip4
office_carrier_route
office_latitude
office_longitude
office_cbsa_code
office_census_block_group
office_census_tract
office_county_code
company_phone
company_credit_score
company_csa_code
company_dpbc
company_franchiseflag
company_facebookurl
company_linkedinurl
company_twitterurl
company_website
company_fortune_rank
company_government_type
company_headquarters_branch
company_home_business
company_industry
company_num_pcs_used
company_num_employees
company_firm_individual
company_msa
company_msa_name
company_naics_code
company_naics_description
company_naics_code2
company_naics_description2
company_sic_code2
company_sic_code2_description
company_sic...
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TwitterThe U.S. mortgage market has declined notably since 2020 and 2021, mostly due to the effect of higher borrowing costs on refinance mortgages. The value of refinancing mortgage originations amounted to 112 billion U.S. dollars in the first quarter of 2025, down from a peak of 851 billion U.S. dollars in the fourth quarter of 2020. The value of mortgage loans for the purchase of a property recorded milder fluctuations, with a value of 272 billion U.S. dollars in the first quarter of 2025. According to the forecast, mortgage lending is expected to slightly increase until the end of 2026. The cost of mortgage borrowing in the U.S. Mortgage interest rates in the U.S. rose dramatically in 2022, peaking in the final quarter of 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under three percent, whereas in 2024, the average rate for the same mortgage type exceeded 6.6 percent. This has led to a decline in homebuyer sentiment and an increasing share of the population pessimistic about buying a home in the current market. The effect of a slower housing market on property prices and rents According to the S&P/Case Shiller U.S. National Home Price Index, housing prices experienced a slight correction in early 2023, as property transactions declined. Nevertheless, the index continued to grow in the following months. On the other hand, residential rents have increased steadily since 2000.
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United States WAS: Average Loan Size: USDA: Purchase data was reported at 153.500 USD th in 20 Jul 2018. This records a decrease from the previous number of 156.100 USD th for 13 Jul 2018. United States WAS: Average Loan Size: USDA: Purchase data is updated weekly, averaging 149.500 USD th from Jan 2014 (Median) to 20 Jul 2018, with 236 observations. The data reached an all-time high of 172.500 USD th in 05 Jun 2015 and a record low of 135.800 USD th in 12 Dec 2014. United States WAS: Average Loan Size: USDA: Purchase data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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Mortgage Application in the United States decreased by 1.80 percent in the week ending October 10 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.