Thursday, December 19, 2013

Historical ACS Matrix of Demographic, Social, Ecomonic, and Housing Profiles for Herkimer and Oneida Counties


With the American Communities Survey (ACS) in full swing these days (all three iterations - the One Year, Three Year, and Five Year estimates - all now have multiple sets of data available) it strikes me that people may want to look at them over time. However there are at least two things that everyone should be wary of when looking at the data sets across ACS years.



Please remember that you should:
  • only compare like versions to like versions (one year estimates to one year estimates)
  • only compare discrete sets to one another (sets that do not have over lapping years, such as the 2009-2005 FIVE year estimate to the FIVE year estimate covering 2014-2010 since none of the years between the two overlap).
Below you can find all of the Five Year, Three Year, and One Year Estimates Profiles for available for the counties in our region. The Five and Three Year Estimates cover Herkimer and Oneida Counties; the single year estimates only cover Oneida County. PLEASE NOTE HOWEVER THAT THE 3 YEAR ESTIMATES ARE NO LONGER BEING PRODUCED.

So which data set are you looking for ? The general rule of thumb is that if you want the most RECENT data, then use the One Year Estimates. In the event that those aren't published as in the case for Herkimer County, then you have no choice but to use the FIVE Year Estimates. The FIVE year estimates do provide you with the most ACCURATE data and should be used if this is the goal of your research even when one year estimates are available.

This page should serve as a sort of historical matrix for our region when it comes to the ACS and will be updated regularly. I will also add it as a permanent link on the front page just below the banner so people can always look at the profiles within some historical context as well.



  ********** FIVE YEAR ACS ESTIMATES **********

Herkimer County Matrix

Year Profile Type Profile Type Profile Type Profile Type
2015-2011 Demographic Social Economic Housing
2014-2010 Demographic Social Economic Housing
2013-2009 Demographic Social Economic Housing
2012-2008 Demographic Social Economic Housing
2011-2007 Demographic Social Economic Housing
2010-2006 Demographic Social Economic Housing
2009-2005 Demographic Social Economic Housing
  
Oneida County Matrix

Year Profile Type Profile Type Profile Type Profile Type
2015-2011 Demographic Social Economic Housing
2014-2010 Demographic Social Economic Housing
2013-2009 Demographic Social Economic Housing
2012-2008 Demographic Social Economic Housing
2011-2007 Demographic Social Economic Housing
2010-2006 Demographic Social Economic Housing
2009-2005 Demographic Social Economic Housing



** DISCONTINUED THREE YEAR ACS ESTIMATES **

Herkimer County Matrix

Year Profile Type Profile Type Profile Type Profile Type
2013-2011 Demographic Social Economic Housing
2012-2010 Demographic Social Economic Housing
2011-2009 Demographic Social Economic Housing
2010-2008 Demographic Social Economic Housing
2009-2007 Demographic Social Economic Housing
2008-2006 Demographic Social Economic Housing
2007-2005 Demographic Social Economic Housing
  
Oneida County Matrix

Year Profile Type Profile Type Profile Type Profile Type
2013-2011 Demographic Social Economic Housing
2012-2010 Demographic Social Economic Housing
2011-2009 Demographic Social Economic Housing
2010-2008 Demographic Social Economic Housing
2009-2006 Demographic Social Economic Housing
2008-2006 Demographic Social Economic Housing
2007-2005 Demographic Social Economic Housing




********** ONE YEAR ACS ESTIMATES **********

Oneida County Matrix

Year Profile Type Profile Type Profile Type Profile Type
2015 Demographic Social Economic Housing
2014 Demographic Social Economic Housing
2013 Demographic Social Economic Housing
2012 Demographic Social Economic Housing
2011 Demographic Social Economic Housing
2010 Demographic Social Economic Housing
2009 Demographic Social Economic Housing
2008 Demographic Social Economic Housing
2007 Demographic Social Economic Housing
2006 Demographic Social Economic Housing
2005 Demographic Social Economic Housing

Tuesday, December 17, 2013

New Five Year ACS Estimates Released

The Census Bureau has released the latest Five Year American Community Survey Estimates for the period 2008-2012 for ALL LEVELS OF GEOGRAPHY ! To get information from the ACS for any given level of geography visit the American Fact Finder page.

County level data profiles for Herkimer and Oneida Counties can be found by clicking the link below our banner or by going here to our permanent five year estimate page.

Friday, November 22, 2013

Comparing ACS Data: Economic Changes Over the Last Five Years in Oneida County

An earlier examination of the social changes in Oneida County suggested by the single year estimates of the American Communities Survey (ACS) data between 2008 and 2012, came with a considered warning about placing the data and trends found there within context. It is important to exercise due caution when looking at significant changes in the ACS over time such that the trends that seem to be present make some sense in the larger picture. This is just as true about the economic profiles found in the ACS as it was with the social profiles.

Income Measures: That being said, let's begin with what the data does NOT show us - or more accurately, what it shows us has not changed in the last five years. Specifically, that the income levels of the region have remained relatively stable over that time frame. Income can be measured several ways. Typically we measure income based on the family median income, the household median income or the per capita income of the county. Here's a look back at these measures in the 2011 Five Year ACS for every municipality in the region.

The graph below shows the single year ACS income data from 2008 to 2012. Based on the margins of error for each income measure, the reality is that income levels haven't changed significantly since 2008 for families, households or on a per capita basis.For families it remains around $60,000; for households it is about $47,000; and on a per capita basis it is around $25,000. The fluctuations seen across the last five years are not statistically significant.

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Poverty: At the same time as income has remained relative stable, however, we have seen a significant increase in the percentage of the population that has fallen into poverty.Looking at the population as a whole, the percent of the County's residents who live in poverty has climbed from around 14% in 2008 to about 16.4% in 2012. Similarly, there has been an increase in the percentage of families in poverty over this period - from 10% in 2008 to 12.5% of families in 2012.

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Health Insurance Coverage: The last piece of economic data noted here that has changed significantly since 2008 is the number of people covered by health insurance.  Health insurance is measured in two broad sectors - specifically as being provided by the private sector or as being provided by the public sector.

These two types of coverage are not mutually exclusive, but may be. In other words, you could have someone who receives private insurance, and also has some public/government insurance coverage as well. Keep that in mind as you look at the graphic below, in that the data is not intended to add up to 100% - the coverage by either a private vender or public resource is totally independent of one another.

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Statistically speaking we have seen a decrease in the percentage of the population with private insurance coverage in the last five years. It has fallen from around 72% of the population in 2008 to about 67% of the current population. In terms of public insurance coverage, we have seen an increase in the percentage of the county's population using public insurance options from about 35% in 2008 to roughly 39% as of 2012.

While other comparative data may show statistically significant changes between 2008 and 2012, these few items are the ones that seem to suggest decipherable trends worth noting.

Monday, November 18, 2013

Comparing ACS Data: Where We Have Come in the Last Five Years in Oneida County

I'd like to provide some insights into the utility of the American Communities Survey (ACS) data that has been collected for nearly a decade now. The resulting information we have gained about our region CAN now be looked at across time in ways that weren't possible in the past. After all, such data used to be collected through the decennial census, so we only saw it once every 10 years. With the ACS, areas with populations in excess of 65,000 people have data available on an annual basis. So, theoretically, we should be able to track how things have changed over time without having to wait 10 years for the next census to arrive.

The "benefits" of doing this are questionable however. Not so much because there is limited ability to make policy changes on the fly as new data comes along. Rather, the limitations of comparing the data across small incremental time periods is that the data is based on small samples that often have large margins of error. To learn more about the MOEs (or margins of error) you may want to revisit this post. So as I share information about changes we've seen in the last five years, please make note of the fact that ACS is best viewed with caution and in the context of other meaningful data sets.

So where have we come then? Well let's begin with a look at how we have changed in terms of our social profile.

While many data points could be examined, I will only talk about those that have changed in a statistically significant way over the last 4 or 5 years, and that also seem to show a pattern of change that makes intuitive sense as well. All of the following data concerns Oneida County from the year 2008 to 2012. 

Families, Nonfamilies, and the Elderly: Statistically, we have seen a decline in the number of family households in the county between the years 2008 and 2012 (64.5% versus 61,2%, respectively). This comes at the same time as we see a significant rise in non-family households, from 35.5% to 38.8% between 2008 and 2012. "Nonfamilies" are householders living alone, or with other non-related individuals. Within these nonfamilies, we have found an increase in the percentages of people who actually live by themselves, as well as among those who are age 65 or older. One third of all people living in households in the county are "loners" - they live alone with no one else present. And nearly one in seven households in the county (14%) are occupied by a lone senior citizen. In both these cases, the percentage of households that are occupied by either a person living alone, or in which an elderly person is living alone, has increased significantly since 2008.

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Marital Status For Males and Females: It appears as though fewer males and females are reporting that they are married and living together now than five years ago. While about 49% of males said that they were married and living with their spouse in 2009, that number has dropped significantly to 46% of males in the most recent ACS data. Among women, the percentage has gone from around 46% in 2009 to about 43% in 2012. The percentage of females indicating that they were divorced has increased as well over the same period.

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Highest Level of Education: The population appears to be more well educated now that it was five years ago. Fewer people reported their highest level of education as being a high school diploma (it has dropped from about 35% in 2008 to around 32% in 2012), while more people said that they had attained a bachelors degree or higher (from a low of 19% in 2009 to as many as 24% in 2012).
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Foreign Born Populations and Language Spoken At Home: More foreign-born people now live in the county than did five years ago. In 2008 about 6.4% of the population reported being foreign born. Now, around 8% of the county's population claims birth in a foreign country. Along the same lines, more people are speaking a language other than English at home as well. In 2008, about 10% of the population reported that English wasn't the primary language that they spoke while at home. In 2012, 13% of county residents speak something other than English while at home.

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Future Comparative Posts: Statistically speaking, these are the main social changes we have seen in the last five years within Oneida County, based on the ACS data. Still to come if future posts will be and examination of the changes we have seen economically and in terms of housing data. Again, be careful to recognize that the limitation of the ACS data lies in the margins of error that come with relative small sampling done with the survey instrument. Such data as provided here should be used as a springboard for looking at other data sets that may address the social, economic or housing issues brought forth by the ACS comparison files.

Friday, November 15, 2013

2012 ACS Profiles for the Cities of Utica and Rome, And Town of New Hartford

With the recent release of the Three Year Estimates of the 2012 American Communities Survey, communities with populations of 20,000 or greater now have demographic, economic, social and housing profiles available. Below are the three municipalities in our region that meet this population threshold and their ACS profiles.


Municipality Profile 1 Profile 2 Profile 3 Profile 4
Utica Demographics Economics Social Housing
Rome Demographics Economics Social Housing
New Hartford (T) Demographics Economics Social Housing