How THIS Map Might Change With Development of High Tech Jobs

Robert Manduca, a graduate student at Harvard, recently create this map based on 2010 Census data. This visualization plots one dot for every job in the United States, according to the Census Bureau's Longitudinal Employer-Household Dynamics data. The LEHD data is based on state unemployment insurance records, and tabulates the count of jobs by census block.

In this map, jobs are colored by type, allowing us to see how different industries and sectors exhibit different spatial patterns--some clustering in downtowns, others spreading across city and suburbs alike.

What I was wondering was how the map I posted below, which centers on Utica and Marcy, might change in the coming years, and by the Census 2020, if the region sees the influx of high tech jobs on the Quad C Campus and surrounding area? Click on it to enlarge the graphic and pay attention to coloration guide at the bottom of the map ! And be sure to look at the job distribution in other areas by visiting the website !

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School District Poverty Data Visualized

Recently, EdBuild launched an interactive map that highlights student poverty in every school district across the United States. The student poverty numbers reported in the linked EdBuild map reflect the number of school-aged children falling below the federal poverty line, as reported in the US Census Small Area Income and Poverty Estimates data set. Therefore, the numbers in this map are not the often-referenced United States Department of Agriculture (USDA) Free and Reduced Price Lunch (FRL) eligibility numbers, which include students from households with income up to 185% of that poverty level. If the student poverty numbers for your school district differ from what you’ve heard in the past, it’s most likely because of this difference.

Below is a static screen shot of the Central Valley School district data (note the box in the upper right with the information). Visit the website and track down information on your district, or look at how you compare to surrounding districts. Click the graphic below to enlarge it.

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Measuring Our Circadian Rhythm: Sleep Patterns in Counties Across the US

Recently Jawbone released a set of interactive maps which show the time people go to bed as well as the length of sleep for people by county for the entire country. This study was based on over one million UP wearers who track their sleep using UP by Jawbone. Less populous counties were blended with neighboring counties to generate significant results. This technique revealed patterns at finer granularity than the state level, such as time zone boundaries and all data is anonymized and presented in aggregate.

Below are two screen shots of our region. But go to the interactive maps and see what the whole country looks like!
 

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Regional Families Receiving Food Stamps and the Presence of Workers in Past 12 Months

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July 2015 Labor Market Profile

From the NYS Department of Labor...click the table to enlarge the profile.

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Regional Comparison Within Races of the Percentage Identifying by a Single Race Versus Those Identifying with that Race Plus Others

When asked about a person's race, respondents are now allowed to select more than one racial category when answering most surveys. As a result, while some select a single race, such as Asian, others may select multiple races, such as Asian and White. Hence, when looking at the "Asian" population, you might want to include those that also coupled Asian with any other race.

The graphs below were made to give you an idea about what proportion of each racial category includes those selecting THAT race plus others.

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Herkimer County Households Reporting Self Employment Income

Here is a chart showing the number and percentages for households reporting any self-employment income from each town and the City of Little Falls in Herkimer County.

ACA Program Enrollment Changes In NYS Counties

A recent article from Politico provides some insight into the changes in ACA program enrollment (think "Obamacare") for every county in New York State. Click on the link above to read the article and see how counties that interest you have done. Simply go to the middle portion of the article and hover over any county to see their data.

Herkimer County 2014 Town, Village, and City Population Estimates

Click on the tables to enlarge them. These are the 2014 population estimates for each town, village and city in Herkimer County, as well as the remainder of towns minus village populations in the second table.

Herkimer County Town, Village, and City Estimates (2014)

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Herkimer County Town, Village, and City Estimates, With Remainder of Towns (2014)

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Oneida County 2014 Town, Village, and City Population Estimates

Click on the tables to enlarge them. These are the 2014 population estimates for each town, village and city in Oneida County, as well as the remainder of towns minus village populations in the second table.

Oneida County Town, Village, and City Estimates (2014)

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Oneida County Town, Village, and City Estimates, With Remainder of Towns (2014)

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Where Workers In Herkimer County Come From

We've looked at where all of the workers who reside in Herkimer County go to work, but now here's a graphic on where all of workers who fill the jobs IN Herkimer County come from. Click on the graphic to enlarge it.

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Outflow of Workers in Oneida County: Where Workers Go to Work

Yesterday I posted about Herkimer County workers. Here is the same information about Oneida County workers. Click to enlarge the graphic.

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Out-Flow of Workers in Herkimer County: Where Workers Go To Work

Recently the 2013 ACS has released data on worker flow patterns. I will post some graphics about each as I work on them over the next few days. Todays is about the workforce in Herkimer County and where they go to work. The majority stay in the County for work (53%). But as you can see, they do travel to nearby counties for work as well. Click on the graphic to enlarge it.

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Herkimer County Single Family Housing Units as Rentals by Municipality

Yesterday I posted a graphic showing how there has been an increase in the use of single family dwellings as rental units for our region. In fact, since 1970, the use of single family dwellings for rental properties has increased by 45%. Below is a table showing the percent of all single family housing units in each municipality in Herkimer County that are being used as rental units.

Note that quite a few of the municipalities' data need to be viewed with caution due to the fact that the margins of error are 10% or more of their total housing unit counts!

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Single Family Housing Units as Rentals: 1970 Versus 2013

A recent article by the Joint Center for Housing Studies at Harvard suggest that more and more single family homes are being used as rentals than ever before."The recent growth of single-family rentals is unprecedented," reports the Joint Center for Housing Studies.

Looking at local housing data seems to bear this out. Below is a graphic showing how, since 1970, we have seen a regional grow in overall housing stock (12%), and more specifically an increase in single family housing units (21%). At the same time the region has experienced an increase the number of renters (up 15%).

More to the point, there has been a very large jump in the number of renters that are occupying single family homes (attached or detached). Renters in single family homes have jumped from around 6,400 in 1970 to more than 9.200 in 2013, and increase of about 45% !

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Easy Access to the Most Recent Basic ACS Data

The Census Bureau has a great page for when you are simply looking for the most up-to-date information on your town, village, city or county. It's called the Census Reporter. By simply going to that link and typing in the name of the place or town you are looking for, you can bring up a nice smattering of the most recent ACS data available for your target area. This includes basic demographics, as well as data on income, family, housing, and social traits of the populace. For example, here is what is provided in the basic demographic data panel for the Town of New Hartford.

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So the next time you need quick data on your town, city or village, just go to the Census Reporter and type in your community's name !

A Comparison of AGIs Between Those Migrating Into and Those Migrating Out of Herkimer County (2000-2012)

The chart below shows the difference for each year from 2000 to 2012 of the Adjusted Gross Incomes for those migrating into, and those migrating out of, Herkimer County. These are based on annual IRS returns for the county. The figures below reflect the differences in AGI for those moving in versus those moving out of the county. So, in 2000 for example, the AGI of those coming to the county was about $500 less than those leaving the county. As you can see, in most years those moving into the county appear to have higher AGIs than those leaving.

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Herkimer County Migration Based on IRS Returns

One of the key components for estimating migration impacts on population are IRS records. As people move and relocate, IRS records are used to track their entry into, or exit from, communities. The graph below shows the net gains and losses for Herkimer County based on these records.

One thing to note: the 2012 data was tabulated in a manner considerably different than that of previous years.

 In prior years the filer's ID was track and population migration was attributed based on previous household information. In 2012, as an effort to get more accurate data, not only is the filer's ID tracked, but also their dependents, thereby providing a more precise picture of how many people in a household may have relocated from one community to another.

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Animal Farm: A Regional Comparison of Livestock on Farms Between 1910 and 2012

Click the graphic to enlarge it and look at a comparison of livestock on farms in the Herkimer and Oneida Counties region now, when only about 20% of the land is farmland, compared to 1910, when more than 60% of the land was being farmed.

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Regional Working Poor (2013)

Recently the Bureau of Labor Statistics released a report showing that the US now had over 10 million working poor people in 2013. The working poor, by the BLS definition, are people who spent at least 27 weeks in the labor force during the year—either working or looking for work—but whose incomes were below the official poverty level. Nationally the working-poor rate, or the ratio of the working poor to all those in the labor force for at least 27 weeks, was 7.0 percent in 2013. Local PUMS data, derived from looking at those seeking work and those that worked at least 27 weeks in the past year, shows a working poor rate of 8.3% in the region.

The graphic below provides some insight into who constitutes the working poor regionally. Some comparisons with national data are possible by visiting the link cited above. The graphic can be enlarged by clicking on it.

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