By on May 20, 2015 in Once in a blue moon, I get a for current population and demographic data for Neilsen’s designated market areas or DMAs. Getting current Census demographics for DMAs is a bit tricky but definitely do-able. Unlike “normal” geographies (counties,, etc.), the US Census Bureau doesn’t provide demographic data for DMAs.

For example, you can get demographic data for New York city or for New York County from the. But you can’t get demographic data for the New York DMA from the US Census Bureau. To get current demographic estimates for DMAs using Census data, you need to: • identify Census geographies like counties or zips/ZCTAs that make up DMAs, and • sum up the demographics for those geographies.

That sounds reasonable, right? Let’s dig a little deeper.

I have zip code level data that needs to be aggregated at DMA level and then mapped in a DMA boundary map. I have already looked into the following link. Zipcodes can and do cross county lines, so they can not be map onto counties as they are not a subset of counties. What are you really trying to do? Dec 26, 2017 - DMA Data Reports. The ZIP by DMA database provides. ZIP Code listings within U.S. Counties by DMA region. The ZIP by DMA report is produced annually and. Promo Code Doesn't Expire Other Results for Zip Code To Dma List: • Nielsen DMA Maps DMA (Designated Market Area) regions are the. Selection of software according to 'Zip code to dma mapping file' topic.

First, you need to decide which Census geography type you’ll be using. Bosch Gkf-400 Manual. Your options and the positives & negatives of those options are as follows: • Counties a.

Negative: Higher Potential for Geographic Errors b. Positive: You Can Be More Confident in the Demographics (sometimes) • Zip code/ZCTAs a. Negative: Higher Potential for Demographic Errors b. Positive: You Can Be More Confident in the Geographic Boundaries (sometimes) • A combination of counties and zip codes/ZCTAs Option 1.

DMAs And County Demographics According to, “a DMA region is a group of counties that form an exclusive geographic area in which the home market television stations hold a dominance of total hours viewed.” Quick & Dirty Boundary Check Let’s look at a simple example like San Diego DMA. When you compare the boundaries for the San Diego DMA on a 2012 with the boundaries of San Diego County on a US Census Bureau map, the boundaries of the county and the DMA look similar. The above is a quick & dirty check to see if the county boundaries align with the DMA boundaries. In a perfect world, the next step would be to overlay a Neilsen DMA boundary shapefile with a US Census Bureau county shapefile to verify that the boundary of the San Diego DMA precisely matches the boundary of San Diego County. But alasNielsen has never called me back despite my voicemails requesting to purchase said shapefile from their DMA department. 2nd Source Boundary Check So in our imperfect world, you can then check the county to DMA boundaries using or /. An enterprising individual (simzou) has generously created shapefiles of the Nielsen DMAs.

But I have no idea the source for either the SRDS maps or the nielsen-dma data, so I can’t be sure that the DMA boundaries in either of these sources are accurate. But personally, I feel more confident after checking a couple of different data sources. Iwantv App Free Download For Pc. Note: if these checks are too imprecise for your project skip to below. Pull The Demographics & Sum Them If you’ve checked a couple of sources & you’re comfortable assuming that the boundaries of the DMA roughly match the boundaries of the county/counties, you can then pull the demographic data for the counties from the US Census Bureau. In the San Diego DMA example, you can pull the demographics for San Diego County from the US Census Bureau, and you’d have the DMA demographics. But most DMAs are a collection of counties – so you’d need to add the demographics for county A + the demographics for county B + the demographics for county Cto get the DMA demographics.

Since we’re talking about summing demographics for multiple geographies (and actually since we’re talking about the most current Census demographics, which as of today are in the 2013 American Community Survey), I have to write a scary phrase. Brace yourself. Margins of error. Don’t tune me out just yet. The least you need to know is that county demographics typically have smaller margins of error than zip/ZCTA demographics.

And smaller margins of error are typically better given the questions that my clients ask of this data. You can get more details about margins of error and Census American Community Survey data.

Do the above steps sound painful or time-consuming? How To Install Plugins In Sketchup Portable Free. You’re not alone in this conclusion. DMAs And Zip Code/ZCTA Demographics Or What Happens If The Quick & Dirty Boundary Check Fails So using county demographics to estimate DMA demographics works in cases where the DMA boundaries align with the county boundaries. But in your boundary research, you might find DMAs that don’t align with county boundaries like Los Angeles DMA or Palm Springs DMA. For example, the Los Angeles DMA only includes part of Kern County.