Yearly statewide and by-Continuum of Care total counts of individuals receiving homeless response services by age group, race, and gender. This data comes from the Homelessness Data Integration System (HDIS), a statewide data warehouse which compiles and processes data from all 44 California Continuums of Care (CoC)—regional homelessness service coordination and planning bodies. Each CoC collects data about the people it serves through its programs, such as homelessness prevention services, street outreach services, permanent housing interventions and a range of other strategies aligned with California’s Housing First objectives. The dataset uploaded reflects the 2024 HUD Data Standard Changes. Previously, Race and Ethnicity are separate files but are now combined. Information updated as of 7/15/2024.

This is a collection of data sets acquired for measurements of noise figure and receive system noise of wireless/radio frequency receivers and transceivers. These data include tabular data that list1) Inputs: calibrated input signal and excess noise levels, and2) Outputs: summary statistics for each type of user data collected for each DUT.The experiments that produced these data were meant to be used to assess noise measurands, but the data are generic and could be applied to other problems if desired.The structure of each zip archive dataset is as follows:| Root|-- (Anonymized DUT name 1)|---- Data file 1|---- Data file 2|---- ...Data file N|---- DUT-README.txt|-- (Anonymized DUT name 2)|---- Data file 1|---- Data file 2|---- ...Data file N|---- DUT-README.txt| (etc.)Data tables in each archive are provided as comma-separated values (.csv), and the descriptive text files are ASCII (.txt). Detailed discussion of the test conditions and data formatting is given by the DUT-README.txt for each DUT.

This dataset has been collected in the Patient Recovery Center (a 24-hour

Unlock the power of ready-to-use data sourced from developer communities and repositories with Developer Community and Code Datasets.

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Abstract

To educate consumers about responsible use of financial products, many governments, non-profit organizations and financial institutions have started to provide financial literacy courses. However, participation rates for non-compulsory financial education programs are typically extremely low.

Researchers from the World Bank conducted randomized experiments around a large-scale financial literacy course in Mexico City to understand the reasons for low take-up among a general population, and to measure the impact of this financial education course. The free, 4-hour financial literacy course was offered by a major financial institution and covered savings, retirement, and credit use. Motivated by different theoretical and logistics reasons why individuals may not attend training, researchers randomized the treatment group into different subgroups, which received incentives designed to provide evidence on some key barriers to take-up. These incentives included monetary payments for attendance equivalent to $36 or $72 USD, a one-month deferred payment of $36 USD, free cost transportation to the training location, and a video CD with positive testimonials about the training.

A follow-up survey conducted on clients of financial institutions six months after the course was used to measure the impacts of the training on financial knowledge, behaviors and outcomes, all relating to topics covered in the course.

The baseline dataset documented here is administrative data received from a screener that was used to get people to enroll in the financial course. The follow-up dataset contains data from the follow-up questionnaire.

Geographic coverage

Mexico City

Analysis unit

-Individuals

Universe

Participants in a financial education evaluation

Kind of data

Sample survey data [ssd]

Sampling procedure

Researchers used three different approaches to obtain a sample for the experiment.

The first one was to send 40,000 invitation letters from a collaborating financial institution asking about interest in participating. However, only 42 clients (0.1 percent) expressed interest.

The second approach was to advertise through Facebook, with an ad displayed 16 million times to individuals residing in Mexico City, receiving 119 responses.

The third approach was to conduct screener surveys on streets in Mexico City and outside branches of the partner institution. Together this yielded a total sample of 3,503 people. Researchers divided this sample into a control group of 1,752 individuals, and a treatment group of 1,751 individuals, using stratified randomization. A key variable used in stratification was whether or not individuals were financial institution clients. The analysis of treatment impacts is based on the sample of 2,178 individuals who were financial institution clients.

The treatment group received an invitation to participate in the financial education course and the control group did not receive this invitation. Those who were selected for treatment were given a reminder call the day before their training session, which was at a day and time of their choosing.

Mode of data collection

Face-to-face [f2f]

Research instrument

The follow-up survey was conducted between February and July 2012 to measure post-training financial knowledge, behavior and outcomes. The questionnaire was relatively short (about 15 minutes) to encourage participation.

Interviewers first attempted to conduct the follow-up survey over the phone. If the person did not respond to the survey during the first attempt, researchers offered one a 500 pesos (US$36) Walmart gift card for completing the survey during the second attempt. If the person was still unavailable for the phone interview, a surveyor visited his/her house to conduct a face-to-face interview. If the participant was not at home, the surveyor delivered a letter with information about the study and instructions for how to participate in the survey and to receive the Walmart gift card. Surveyors made two more attempts (three attempts in total) to conduct a face-to-face interview if a respondent was not at home.

Response rate

72.8 percent of the sample was interviewed in the follow-up survey. The attrition rate was slightly higher in the treatment group (29 percent) than in the control group (25.3 percent).

GapMaps Foot Traffic Data uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more.

Businesses can utilise foot traffic data to answer key questions including: - What is the demographic profile of customers visiting my locations? - What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations? - What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ? - How far do customers travel to visit my locations? - Where are the potential gaps in my store network for new developments?
- What is the sales impact on an existing store if a new store is opened nearby? - Is my marketing strategy targeted to the right audience? - Where are my competitor's customers coming from?

Foot Traffic data provides a range of benefits that make it a valuable addition to location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical

Azira have created robust screening methods to evaluate the quality of Foot Traffic data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data.

This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates.

Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score.

Use cases in Europe will be considered on a case to case basis.

Account used to receive remittances (% age 15+) in Latvia was reported at 25.51 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Latvia - Account used to receive remittances (% age 15+) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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Job Posting Datasets Source:

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• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
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Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

SMAP Level 1A Radar Receive Only Data Quality Information Version 1

The leading technology in Sweden in 2018, by average speed of broadband to receive data, were cable-TV with an average speed of 104 Mbit/s. It was followed by fiber with an average speed of 96 Mbit/s.

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. This table displays the percentage of women ages 18-44 who have received preventative services. It contains data for California only. The data are from the California Behavioral Risk Factor Surveillance Survey (BRFSS). The California BRFSS is an annual cross-sectional health-related telephone survey that collects data about California residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. The BRFSS is conducted by the Public Health Survey Research Program of California State University, Sacramento under contract from CDPH. The column percentages are weighted to the 2010 California Department of Finance (DOF) population statistics. Population estimates were obtained from the CA DOF for age, race/ethnicity, and sex. Values may therefore differ from what has been published in the national BRFSS data tables by the Centers for Disease Control and Prevention (CDC) or other federal agencies.

Account used to receive wages (% age 15+) in United States was reported at 50.11 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Account used to receive wages (% age 15+) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Monthly breakdown of all passport book applications received. Held and maintained by the Passport Service.

Account used to receive remittances (% age 15+) in Croatia was reported at 10.68 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Croatia - Account used to receive remittances (% age 15+) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Account used to receive remittances (% age 15+) in Colombia was reported at 8.614 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Colombia - Account used to receive remittances (% age 15+) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Historical price and volatility data for Receive Access Ecosystem in Japanese Yen across different time periods.

APISCRAPY offers comprehensive California legal data, including court data, litigation records, attorney information, and legal datasets for other states such as Texas, New York, Florida, Illinois, and more. Our AI-driven web scraping tool simplifies data extraction and integration, transforming complex legal data into ready-to-use APIs.

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Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Access everything there is to know about your customer in seconds! Avoid spending valuable time on performing manual credit checks and make accurate business decisions ahead of time.

By combining business data received from official sources worldwide, with information on regulatory compliance and the transactional behaviour of entities, Infocredit Group has developed an API which provides users with the ability to receive comprehensive business data with just one 'click'.

Key Benefits -Automate work flows -Real-time insights -Improved customer experience -Greater flexibility & productivity -Accuracy of business data - Reduced risk exposure -Faster onboarding

Available Date: -Corporate data -Credit risk assessments & scoring -Global AML risk data -Other data (NACE, Import/ Export information etc.) -Entity relationships -Financial Data -Director/Shareholder data & possible connections -Option to place your offline credit report request

In 2023, over half of the Italian digital population received an alert that their data was breached. Of these, 77.5 percent of the received alerts referred to data compromise on the dark web. In comparison, only 22.5 percent of breached data were found on the index web, also called surface net.