Sentences with phrase «zip code level data»

To estimate the prevalence of facilities with recommended maternity care practices by the percentage of black residents in their area, zip code level data for the category «non-Hispanic black or African American alone» were obtained for the period 2007 — 2011 from the U.S. Census Bureau's American Community Survey (ACS).

«County and ZIP code level data suggest that areas with long commute times — which benefit disproportionally from lower gasoline prices — have experienced a boost in their labor and housing markets relative to other locations,» Shan and Pandl wrote.

Not exact matches

Analytics - focused companies such as Umbel and comScore provide granular audience data that brands can segment and slice to generate highly targeted ads, down to the zip code and persona level.

It can correlate the data right down to the zip code or county level.

ACS and mPINC data were linked by zip codes; of the 2,727 facilities that participated in the 2011 mPINC survey, 84 (3 %) facilities were missing zip code level racial data in ACS, resulting in a final analytic sample of 2,643 facilities.

The researchers used satellite data to determine particle levels and temperatures in every zip code in New England.

By offering publishers the opportunity to view circ data at the zip - code level and compare with consumer sales data in the same area, the system will give these businesses a better sense of how to work with libraries, Freese said.

The problem with mashing up these data sources are that the location accuracy for the various components is radically different: crime records are accurate to the nearest address, weather / census is at best zip code, social media is by IP address and hence is literally multiple miles inaccurate, and traffic is generally major thoroughfares / block level.

New Hampshire car insurance rates go up and down from one zip code to another, due to the differing population densities, unemployment data, poverty statistics, median income levels, crime rates, the percentage of uninsured drivers on the roads, and other demographic effects that change between zip codes, even within the same state.

Drivers in the state of Kentucky can look here to read about Kentucky median incomes, Kentucky poverty levels, statistics on Kentucky drivers, and Kentucky zip code data.

The reason why Montana car insurance rates vary between zip codes is because of changes in population densities, unemployment data, poverty statistics, median income levels, crime rates, the percentage of uninsured drivers on the roads, and other factors that affect car insurance rates from one zip code to the next.

Factors that change between zip codes include population density, unemployment rates, median resident age, median income levels, poverty statistics, crime data, and the percentage of uninsured drivers on the road, for example.

Scan Rhode Island zip code data, Rhode Island poverty levels, Rhode Island unemployment rates, Rhode Island population statistics, Rhode Island median incomes, and other demographic aspects that affect auto insurance rates in the state of Rhode Island.

This variance is due to changes in population densities, unemployment rates, poverty levels, crime statistics, and other demographic zip code data that can affect Wyoming car insurance rates.

Rates can change between zip codes due to population density, unemployment rates, median resident age, median income levels, poverty statistics, crime data, and the percentage of uninsured drivers on the road, for example.

Auto insurance rates change from one zip code to the next, primarily because of the differences in population densities, unemployment rates, median resident ages, median income levels, poverty rates, crime data, and the percentage of uninsured drivers on the road.

«On an individual property level, having a source where I can pull data and look at not just data about the property, but projections and forecasts for the market area, in addition to zip code - and census - level data, is truly unique,» says Binnings.

HouseCanary's platform leverages machine learning models that draw upon the most robust real estate database, and correlates those with mortgage markets, jobs, population shifts and an amazing array of local, block - level data to be able to predict the direction of every metro, zip code and block in the United States, analyzed and visualized in real - time for better, faster decision - making.

Property records and data are reviewed at many different levels (neighborhood, zip code, town, region, etc.) in order to gain a deep understanding of the local real estate conditions.

I also looked at home - price changes within metros using two different ZIP - code - level data sources: FHFA and Zillow.

Property records and data are reviewed at many different levels (neighborhood, zip code, town, region,... [Read the rest...]

Then we use that data to identify trends by city, state, and ZIP code and translate that information into an on - demand report based on market level data, analytics, and AVM based rent valuation solutions.

Specifically, it allows you to track variations in sales, selling price, inventory levels, market time and more on a month - to - month and year - to - year basis, and filter the data and trend lines by geographic area (region, community, zip code, neighborhood), property type, # of bedrooms, year built, etc..

Investors, businesses and government institutions can contact ATTOM Data Solutions to purchase the full dataset behind the Year - End and Q4 2015 U.S. Home Flipping report, including data at the state, metro, county and zip code leData Solutions to purchase the full dataset behind the Year - End and Q4 2015 U.S. Home Flipping report, including data at the state, metro, county and zip code ledata at the state, metro, county and zip code level.