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>> -- efficiently press star 1 in your touchtone phone.
Today's conversation is being recorded
if you have any objections you may disconnect at this time.
Now, I will turn the meeting over to Miss Shannon McGarry, we may begin.
>> Great. Thanks so much Amy and good afternoon everyone and welcome
to our monthly Webinar for VISTA.
I'm Shannon MacGarry and I'll be the host of today's session on Mining Census Data
to Explore Poverty in your community.
Quantitative data can really help you sharpen your understanding of community problems
and can help inform the strategic solutions that you're going to be using to build community
in the areas that you guys are working.
And census data is a great resource to provide insights
and to poverty and life in your community.
So, during today's presentation you have an opportunity to glean an insider's look
at the census data and learn how you can use the data to inform the work as a VISTA.
I want to direct you to the lower right hand corner of your screen,
you'll notice that there's a poll and we're just asking you to answer a couple of questions
which will help us to know a little bit more about whose participating today and help us
to direct the session to your needs.
Today, we're joined by Nesreen Khashan who's the Data Dissemination Specialist
at the US Census Bureau and she will be leading us through this exciting look at census data.
Also joining us today, we have Robyn Stegman and Sharon Rabb both
of who are Project Specialists at Campaign Consultation.
You'll find Robyn in the chat in Q&A features.
She's going to be answering your questions asking for your advice and input
in also providing you with some additional resources on today's topic.
Sharon is helping us with the technical assistance and I'm going to turn it over to her
so she can share a few tips and suggestions to help you fully engage in today's presentation.
>> Hello everyone.
So, if you have questions for today's presenter you may submit them by clicking on the Q&A bar
and we will get to them during the presentation.
Your phone lines are muted right now but we will open them at the end of the session
to ask your questions over the phone.
If you wish to share tips and ideas and resources you can share those
on the chat section which is also on the right.
We'll keep the conversation going for 30 minutes after the conclusion of the presentation
to make sure that we answer additional questions as much as we can
if we have too many we will find another way to get it responses to you.
This webinar is being recorded and we'll be available on webinars for this [inaudible]
of the campus in about two weeks.
>> Great. Thanks, Sharon.
And now I'm going to turn it over to Kim Judy who's a Training Specialist
at the AmeriCorps VISTA and she is going to share some ways and talk
to you a little bit more about investing in your professional development.
>> Hello and welcome on behalf of the AmeriCorps VISTA program.
I do welcome you to today's webinar.
When we create this webinars with our AmeriCoprs VISTAs in mind our goal is to equip you
with the learning resources and information you need to be successful in your year of service.
We also call on you to invest on your professional development.
So hopefully, we've already started our professional development plan for your self
and have set goals for what you want to develop this year.
If you haven't, please start setting aside 30 minutes a week for reading, research,
learning on the VISTA campus or others sites.
We do offer regular opportunities to participate in webinars that focus on your life
as it relates to VISTA and on webinars that focused on your VISTA service like this one.
And so, I encourage you to start looking ahead throughout your year of service and picking
up on some of the webinars that may help you be more successful not only
at your site but in your future goals.
I look forward to into your questions that you have brought this session.
Thank you.
>> Great. Thanks so much, Kim.
And I'm going to take a few minutes and walk us through today's agenda.
So, the first thing that we are going to be talking
about is how the census bureau measures poverty?
It just some what are those poverty specials are and how that calculated?
Then we'll be going over the 2010 census in the American Community Survey
so that you can see what the differences are between those two things
and also how they relate and then we're going to really dive in and take a look at the data
and how it can help gleans-- that help you to glean some insight into poverty
at the community level of it and what's the different-- other different level.
Finally, I will give you an opportunity to, you know, go over a couple of demonstration that I--
we can get our hands dirty and those are few exercises so that you can give it a whirl.
And then we're going to give you the opportunity and some tips on how you can build
up your community's profile to help inform your work and then finally,
we will be doing some evaluations so that you're feedback is always really helpful
to see how we can improve these sessions in the future.
And I'm going to touch base quickly with Sharon before I turn it over to Nesreen see
if the results of our polls are right.
>> They are.
They are.
>> Nesreen, with the first question, are you new to accessing the census data and 82 out of a 171
or 40 percent are and 56 are not familiar with it and which is about 30 percent
and the question is do you know what the poverty rates are for your community?
54 or is about 30 percent answered yes and 40 percent answered no.
And you know how to access information for poverty rates in your community
and how to use it for your source.
About 10 percent said yes about 20 percent said no and about 30 percent were unsure.
>> Great. Thanks, Sharon.
So, it looks like there is going to be a lot of opportunity to provide some deeper information
and help get more of those no's and unsures to yes's today and at this point I'm going
to go ahead and turn it over to Nesreen.
>> Okay, thank you Shannon.
Good afternoon everyone.
I always begin these presentations with the mission statement of the agency--
the Census Bureau Source as the leading source of quality data
about the nation's people and economy.
We honor privacy, protect confidentiality,
share our expertise globally, and conduct our work openly.
So, you know, the mission statement of course is fundamental to our agency's identity but also I
like to start with it because when you're accessing the data you're going to discover
at times that you won't be able to get certain data such here after.
And it all comes back to the agency's pledge to honor privacy
and protect confidentiality of our respondents.
If the agency believe that releasing certain data could possibly breach our confidentiality
loss by identifying the identities of the respondents then they will not be released.
You will not get-- if you-- if you are not able to get the data you want it's
because of the agency is very often has made a conscious decision not to release it.
Now, I want to talk to you about how the official poverty measure is arrived
to the census bureau uses a set of money income thresholds that very [inaudible] size
and composition to the chairman who is in poverty.
If a family's total income is less than the family's threshold then that family
and every individual in it is considered in poverty.
Official poverty thresholds don't vary geographically but they are updated
for inflation using the CPI the Consumer Price Index.
So, income used to compute poverty status includes earnings, unemployment compensation,
workers comp, social security, Supplemental Security Income, SSI, public assistance,
veterans payment, survivor benefits, pension or retirement income, entrust dividens, grants,
royalties, income from a state's trust, educational assistance, alimony, child support
and assistance from outside the household.
But it does not include none cash benefits such as foods stamps and a housing subsidies.
And the threshold is computed before taxes and it excludes capital gains or losses.
It's important to know that if a person lives with a family you're to add the income
of all family members none relatives then that households such as the house maid,
a border, a teacher would not count.
And I mention none cash benefits and SNAP would be included, that does not count
but it's worth noting that the Census Bureau separately asks about SNAP participation
so we still do capture that indicator and that is among the data sets you'll be able to access.
So, Sher, you're looking at the 2012 poverty thresholds by size of family
and number of related children under 18.
The way you want to read it is by looking at each row
and then the columns to see the family size.
How many of the householders are children under 18, et cetera.
So, if you-- if you look at this highlighted section, you--
first in this column with the non-column, you see three people with no children bringing
in as a family [inaudible] almost 18,000 dollars at that poverty threshold that they would be
in poverty if by this official definition.
And then in this next column with one child, it goes up to 18,500.
So, of course the way you would look at this is two people are adults now
and this column and one is a child.
And then-- and here in this column two, there would be two children, same values.
They have an income of 18,500 but two are children and one is an adult, and so on.
And I included the link below us if you wanted to explore just by your own
or download the sectional file that I derived this from.
So, now I'm going to review the differences between the 2010 census
and the American Community Survey so that you're aware of the programs,
behind the data you're accessing.
So, this file represents the data that you can obtain from the program, the 2010 census.
You have basic demographic and housing characteristics only.
So, you can get the population in 2010, age, race, Hispanic or Latino origin.
Households and family simply means the relationships of householders to one another.
Housing occupancy in 10 years simply mean owned or rented.
I just want to take you back to the race and Hispanic or Latino origin
because parenthetically since this aggregated and what that means for Asians is
that when we asked if you're Asian, you have an opportunity to tell us if you're Filipino
or Chinese or Korean or Afghan or whatever the case maybe.
And similarly with Hispanic, you can tell us if you're Puerto Rican or Cuban
or Mexican or Dominican and so on.
Although these are the only characteristics, you can cross tabulate some of them.
For instance, getting 10 year by the major race categories or Hispanic origin.
So, there are several other possible tables
that you can obtain besides the six or seven bullets here.
These are the 2010 census data products.
Table types and data products are important
because each table has its own strength you have available to download today.
It's a one pager that explains different types of data products.
Look for these prefixes, the DP or the QT.
When you're accessing your data and familiarize yourselves with them,
your downloadable one pager will give you that quick summary.
So, you'll know for instance that if you want general data, you should go to the DP
or the QTs in the case of 2010 census data.
And if you want more details or if you want to compare cross geographies, you'll know--
you'll need the-- you'll have to look for HS or GCTs
[ Pause ]
So, now I'm gong to let you know about American Community Survey which is going to be--
and vast majority of cases where you'll go for your data.
The American Community Survey is a nationwide survey
that collects essentially the same information on people and housing that was collected
on the long form questionnaire back in 2000.
So, back in 2000, we sent out two different forms.
The long form as it was then known which went to one in seven households, and the,
what was then called the short form.
In 2010, that did not happen.
We had one uniform form that asks about eight to ten questions.
Our slogan was 10 questions in 10 minutes.
Starting in 2005, we began the American Community Survey which went out to and continues
to go out to 3.5 million addresses every single year across our nation.
It's a continuous survey so each month a sample of housing unit
and addresses received the questionnaire representing every county in the nation.
Again, it has been in operations since 2005 and it provides detailed population
and housing characteristics every single year.
There are 69 different questions asked on the American Community Survey
and I would encourage you to look at the sample form on the census.gov website.
When you include the option to cross tabulate this, we have many cross tabulated tables.
There are hundreds of different types of characteristics
that you can derive about your community.
So, the major categories
for these characteristics are demographic, social, economic and housing.
The demographic characteristics such that's familiar to you
because this is essentially what we pass in the 2010 census but in the case of ACS,
we also collect this data and we released it every single year.
So, you can get sex and age and race and Hispanic or Latino origin.
And again, our Asians and our Hispanic and Latinos are disaggregated.
The social characteristics you can obtain from the ACS include education,
meaning school enrollment and educational attainment level.
Marital status, fertility, grandparent, caregivers, veterans and disability status,
place of birth, citizenship, year of entry,
languages spoken at home including how well you can speak English,
ancestry and tribal affiliation.
Now, I gave you a couple of ancestry in this final bullet as example simply
because when I introduced to you the major race categories, I explained that the Asian
and the Hispanics are disaggregated there.
The American Community Survey also asks respondents to brighten their ancestry.
And so this is where, if you're looking for information about Whites or Blacks who may want
to ride in their ancestry, you would get it.
So, for instance, in the Whites, it would the Germans or people who might want
to write their French origin or middle easterners
who are captured are here Iranians and Egyptians and so on.
And for Blacks, that would be your sub-Saharan African, such as your Eritreans
or Nigerians or Ethiopians, et cetera.
So, where I am in the DC metro area, we happen to have a lot of sub-Saharan Africans
and depending on what kind of outreach you conduct that maybe important for you to know.
[ Pause ]
So, here is a economic characteristics.
And this is where you'll get the poverty data.
Here it includes income, benefits, poverty status, employment status, occupation, industry,
community work which include how you get to work and how long it takes and place of work.
This is also under benefits for-- you'll get the SNAP participation rights.
So, if you'll recall, SNAP is not included as part of that basket of income
to determine poverty levels but you can look at that characteristic separately.
So, finally we have our housing characteristics.
Tenure again, whether you own or rent, what you can get from the 2010 census occupancy
and structure type, housing values, taxes and insurance,
utilities and mortgage and monthly rent.
Housing characteristics can be beneficial to you particularly if you want
to determine what percentage of households in your community spend more than 30 or 35 percent
of their gross incomes on rent or mortgages.
Those are called, there is two different indicators there
under this last bullet selected monthly ownership cost as a percentage
of household income and the crappy house rent as a percentage of household income.
So, you may want to look at poverty rates in your community but you may also want to look
at what other households who may not meet the official poverty definition
that may still be feeling financial distress.
How many households like that are in your community?
And this indicator may very well help you find that out.
[ Pause ]
So, what you're looking at here is population thresholds and release schedule
for the American Community Survey.
As I mentioned to you, it's an annual survey.
Data are collected and released annually.
The release according to population size threshold.
I'll start at the bottom.
For five year estimates, for all communities that are smaller than 20,000 people,
you can only get five year estimates.
What that means for you is if you want to know what's going on in your neighborhood
and the Census Bureau, you'll be able to do that through [inaudible] called the census track
which is between 3,000 and 7,000 people.
You will only be able to get a five year estimate for your community,
for your neighborhood or if you choose your zip code.
For areas that are larger than 20,000 but don't quite reach 65,
you can get a three year estimate.
So, this could-- this is going to include some of your smaller townships and even some
of your smaller counties for those of you who maybe working in rural areas.
If you are eligible geographically because of population size for a three year estimate,
you'll also have a five year estimate available to you.
And finally, we have our one year estimates.
Many of our counties certainly everyone of our state will have a one year estimate available
for it and so are our larger cities.
And similarly, if you're a one year estimate, if you're the highest on this pecking order,
you're going to be able to get a three and a five year estimate.
So, why would you want to do that?
Why would you get a care to get a five year estimate when you're city or a county
of a million people and you can get a one year estimate.
Let's say you want to compare what's going on, you want to compare poverty in your neighborhood
with poverty in your city and your city is about a million in size, you have to have a similar--
you have to be comparing apple to an apple essentially so you'll need
to use a five year estimate for your neighborhood,
its the only option available to you.
And compare it with the five year estimate for your very large city
so that you're making an accurate and true comparison.
So, that's why these larger estimates will have the other estimates available.
Now, the other component of this table is that it shows you the release schedule.
Data are released annually and they're released every Fall,
every October, November and December.
So, last year, we release the 2011 data set, the one year estimate on October
and November we're released the '09 to '11.
And in December we released the five year '07 to 2011.
And you can go back in the system and get this previous data set up to '06.
[ Pause ]
So now, we're back to the notion of data product types,
but this time for the much more robust American Community Survey.
Again, refer to your one page hand out to understand the various strengths
of each of this table product types.
Your DP is what you're looking at here, are identified in this slide
and they correspond to the slides I just showed you.
So, here's your GPL2 for the social characteristics slide, year '03 for economic,
year '04 for housing and year '05 for demographic.
When you conduct a search using our data access tool, the American FactFinder,
the system will return tables to ranks from general to specific and the DP, this right here,
will almost always come up first.
And they're often all that you're going to need.
So-- so, to get a quick alter view of your community's educational attainment
of poverty level, educational attainment you go to the '02 and poverty, you go to the '03.
We'll do a couple of exercises later where I'll show you that the strength and the value
of using-- selecting GCT table our aura comparison profile table.
And they're both great respectively for geographic or chronological overviews but--
but otherwise, unless that you-- you have to make a conscious choice just like these tables
to derive their strength and-- that will make a little more sense when we're in demo mode.
So, what you're looking at here are the substance geography, it is slightly offline
but most of these are self-explanatory.
Of course you could always get data for nation
and your region would be a metropolitan statistical area so, here around where I am,
the DC metro region and we have the nearby Baltimore metro region.
You may also have a Micropolitan statistical area in your community depending on that size.
That maybe useful to get data at that geography.
Divisions or political subdivision in use, you probably won't need them.
States are self-explanatory and so our counties.
Places are a term that are-- that is a term that's distinct to the Census Bureau.
So, places include municipalities, incorporated places, townships, cities, et cetera.
But they also include areas in your community that are not incorporated
but are recognized entities in your community.
And of course I can't know all of them in your respective areas
but the Census Bureau calls them CDPs, Census Designated Places.
And one important point about CDPs is they can often cross counties.
They're often not confined to one country.
So, we have a lot of CDPs around where I am at Silver Spring, Upper Marlboro,
Bethesda and in Maryland and Tysons Corner and Annandale and nearby Virginia.
And I think it will be useful for you to become familiar what's--
with the CDPs in your areas should you choose to get data at that level of geography.
But just remember, whether it's incorporated or not, the Census Bureau calls a place.
Now, census track and also zip codes which is partially covered
by the Circle are the neighborhood level geographies.
When you're after that community level granular look of what's going on in your community.
So, census track the dimensions are geographies of 3,000 to 5,000 in size
and zip codes obviously will have greater variances
because they're not based on population threshold.
But the advantage of course is you may have a better sense of what's the zip code looks
like in your community than a census track.
So, when we get to exercises, I'll show you some strategies
for becoming familiar with the census tracks near you.
[ Pause ]
So, the American Community Survey, it is a survey as its name states.
And accordingly, it comes with margins of error.
And I just wanted you to be aware of them and talk to you with a little bit about how
to ascertain what you're MOEs are, your margins of error.
A margin of error is the difference between an estimate
and its upper or lower confidence balance.
Confidence balance can be created by adding the margin of error to the estimate
or the upper bound and then subtracting the margin of error
from the estimate for the lower bound.
When you get that range, what the Census Bureau is telling you is it is 90 percent certain
that that range is accurate.
So, all data from the American Community Survey contains margins of error.
Some data tables would publish them but not all of them will.
And again to obtain your MOE, add or subtract the margin of error from your estimate
to get your margin of error range.
And this really becomes important when you're comparing two or more communities
because computing your margins of error are going
to tell you whether your conclusion is accurate.
If you want to say one community is experiencing poverty at a higher rate than another,
you should make sure by computing the MOE ranges that you're absolutely certain about that.
So, what would that look like?
In this table from the American FactFinders, it's an American Community Survey table,
we're looking at census track, two census track data, tables.
One in the District of Colombia, the other is a nearby county.
And the indicator is-- so these are neighborhoods, two different neighborhoods.
And we're looking at male Hispanics who were foreign born.
In one community, we have 355 males for Hispanic and foreign born.
And the other-- so subtract 703 at Montgomery County, it's very hard to see but it's 315.
And the MOE ranges are-- the margin of error ranges are in the column beside them.
And you'll see the plus or minus, so in this case it's plus or minus 158.
And then the Montgomery County case its plus or minus 200.
So, what does that mean?
Give me a moment.
Close the number of Hispanic male chart and one of this is tracks.
These numbers are estimates and they're based on samples.
And there are a lot factors that determine how well a sample reflects the true make
up of the whole population of how accurate the estimate is.
But in general, the bigger the sample is, the more reliable it is.
So, if you look at your margin of error ranges for a county of a million people,
you'll often see miniscule margin of error ranges.
Because many people were scaffold and so its therefore more reliable.
But when you get down to this neighborhood level such as this example, you may see larger margin
of error ranges and it's up to you to determine whether you're comfortable
with the reliability or not.
The margin of error ranges are there but you're ultimately the judge.
So, the margin of error for these two estimates is pretty high.
By taking the estimate plus or minus the margin of error, we can get a sense of the range.
You can see that there's a lot of overlap for these two estimates.
It's really apparent if we graph them side by side.
So, now consider the margin of error.
It's a number of Hispanic males, foreign born, higher in one of these two census tracks.
Because of the wide margin of error we can't say that there's any difference between the two.
So, before we get into actual demos, I just want to show you one such a killer way
that you can begin to collect your data and conduct your community level searches.
And we go back to demo-- I'm going to show you how to use the American fax side or data access
to the input and addressing their community to attain that neighborhood's level
of data at the census track level.
So, in this example, I typed in the address for the LA Regional Office of the Census Bureau.
From the earlier sides, remember that census tack have population thresholds
of about 3,000 to 7,000 people.
And also remember that the ACS tables are all released according to population thresholds.
So, the track level data only has five-year estimates.
If you want to compare, again, this is the same point I made earlier.
Your neighborhood with your city or your county, or even you state,
you have to use five-year estimates for all those larger geographies.
Because you're creating a nesting comparison and the smallest geography
in your nested comparison is-- only have a five-year estimate available for it.
So, just remember that that's going
to be necessary even though those larger geographies will also have certainly three-year
and in many cases one-year estimates available for them.
So, I took that geography, that census track neighborhood geography.
And that we saw in that previous slide.
And I looked at the poverty rate in that census track
and I added a couple of other in geography.
So, I added the LA metro region, Los Angeles County
and even the zip code that census track is locate in.
So, all these geographies are all nested together.
We would have to take a closer look at the margin to be very sure.
But on this stays involve cases whether it's all families, or with related children under 18.
During that five-year period it's important to know that we're looking at a five-year period.
The census track poverty rates are considerably higher that any
of the other geographies that are lasted with in it.
[ Pause ]
So, now that you're aware of the data available and how to evaluate them properly,
let's get into your data access tool.
How the American Factfinder and it has three components, we have Community Facts,
Guided Search and Advanced Search.
We're going to look at screenshots refers to because you'll see when you're trying them out
and I-- I encourage you to do that.
After pretty intuitive and user-friendly, advance search is the most comprehensive tool
but it's also the one that can be most challenging to use
without a little bit of instruction.
So, we're going to be conducting the demos and your exercises
in that mood so that you are well prepared.
Sort of like learning to drive a stick before you drive an automatic.
[ Pause ]
So, here's a community facts and as the screenshot shows you,
it instructs you to enter a state, country, city, town or zip code in the search box
and you do and there's a smart search capability around to it.
So sorry, that's [inaudible] what geography I'm after, so I can even click on one of the ones
that it presents for me and then I just simply click Go.
So, when I do that, I get all these topics and I can catch through them population, age,
business and industry, education, housing, income, origins and language.
I've either select statistics certainly not comprehensive but you'll see that--
you'll see a lot of blue text and anything blue as hyper link.
So, when you click on any of these blue links,
it shortcuts you over to the advanced American Factfinder so that you're
in the advanced [inaudible] without really knowing how to use it
and that could be advantageous if you'd never attended the session
or you just watch to get quickly data in and out.
But you'll only be able to get 5 year estimate as the default for all the data sets.
So, it really pays to have a full control
of the American Factfinder System is still quick facts could be a useful tool for you.
Guided search as its name suggest guides you step-by-step to the data you're looking for.
You just can push start by clicking Get me started and you--
you continue to follow the instruction.
So, here you would start, you're-- you'll most likely are going to start by saying I'm looking
for information about people or housing but even more likely people will be what you're after.
And then you click-- once you select one of these radio dials you click next.
And then it takes you through these numbered sections, topics, geographies,
race and ethnic groups and search results.
Under the race and ethnic groups, you may not even need to stop there.
You may want the poverty level for your entire community and it doesn't matter to you
if they're White or Black or Hispanic.
So, if it doesn't matter to you then just go over to support, let me put it differently,
in this particular search, you don't want to get that indicator and cross tab it,
simply skip number four and go right to number five and you'll get your search result.
And you'll get the top ten tables that the system thinks you're most interested in
but it's not advance search so, it's not every table available to you.
But the good news is, you'll have the option to go into advance search via a hyperlink
that will take you into advance search without really knowing how to use it again.
So, but even that is not as comprehensive as just going into advance search directly.
This is the screenshot showing you guided search, gives you stock over at number four
and shows to identify a race or an ethnic group.
There's a couple of different ways you can do it, you can simply type
in this case I don't just want Asian, I want Vietnamese and again it anticipate.
I started typing Vietnamese and it asks maybe Vietnamese alone, here's one code--
oh, Vietnamese alone are in combination,
so Vietnamese to it who's multi ethic or biracial for instance.
When you simply click Go, your selection would come up here and you would need to make sure
and top in this basket and then you go on the search results.
Or you can use these tables here and select the major race, groups,
White alone like in combination Black alone and so on.
And you would ensure that whatever blue hyperlink you selected ended
up in your selection and then you would continue,
you would hit the next box and get your search results.
But advance search is going to be as I mentioned the most comprehensive,
so this is [inaudible] and the rest of the afternoon.
So, what you have here are several ways to get started in advance search.
If you know you just want the poverty rate for your country and I--
so I simply type, you can stop by at number one here and--
and type poverty as topic and you can write your country, Montgomery county comma MD Maryland
and it will bring out table that is going to give you that.
Now, if you want something a little more detailed, if you want that granule
or level data stopping it at number one is not going to suffice.
You're going to have to go over the topics, geographies and race and ethnic group.
You won't be using the instances slightly off sync and district codes are EEO code.
So, this top three are the ones you'll need.
I want to show you how this [inaudible] and then we're going to conduct some exercises.
So, let me go ahead and switch over to live view.
Let's see, [inaudible]-- that's the way to do that.
I'm sharing my desktop with you and just [inaudible]you have this tray available to you.
If you have questions, you can continue to engage with the chat and also here
on there far right, there's a Q&A option on your tray.
So, and then you can simply hide that tray if you-- if you find it too distracting.
[ Pause ]
So, I'm going to start at census.gov and to get you to American Factfinder,
you simply go to the data tab and do your second option is American Factfinder.
So, here we have our same smiling girl, we're going right into advance search and we're going
to just say, "Show me all" because again this is the most comprehensive search tool among
these three.
So, here again are the topics, geographies and race and ethnic group tabs.
You're going to spend most of your time and geographies and topics,
but I'm going to show you one exercise today
where you'll need race and ethnic group tabs as well.
So, geography works by telling you what type of geography you're after.
Before you type a name, is it a country?
Is it a city?
Is it a census track?
So, you tell it that first, country, is it a state?
Is it a place?
And when you think of place, the unique definition that I gave you or place.
And is it a zip code?
Now, the terms of [inaudible] if you want a zip code for households which all of you do,
you need to use this top one, it's called a zip code tabulation area,
not the bottom on the zip code.
It's just-- I wouldn't worry about lines, just sort of is what it is and it will--
it will help you from getting area when you conduct your searches.
And then here are your metropolitan statistical areas.
I gave you that example of wanting to get a census track by typing in an address.
If you want to do that, you would simply hit the address tab and type in an address here.
So, I would simply type in an address and they have to be a valid street address,
it can't just be a street and you don't always need a zip code.
But once you do that, what's great about doing that is,
none of us intuitively know what a census track looks like in our neighborhood
and what are census track is found by-- so you can move over to the map tab and it all--
it all create a map showing you the census track.
It can take a little while to load it as you're experiencing here.
And sometimes it may not even load on-- I think it might be going out here.
Sometimes, I just re-- I hit reload and see if that works.
I think it cleared my address tab, so.
[ Pause ]
Try it again.
[ Pause ]
Okay, and I apologize for that right now it doesn't seem to be loading but going back
to the address tab what this is telling you once you've done this is that for
that address this is again that nesting model I started illustrating for you.
I can get data by the census track, I can get it by the county which in this case DC as well
in county identified it as a county in a state and I can get it
by my metropolitan statistical area and I could select all of this at once and throw them
into this basket and get that nesting example I started off showing you.
But many-- so, that's what you would do if you want a specific address and you want
to nest geographies for that specific address down to the census track level.
Now, if you just again want a geographic type and you know what it is intuitively, you start--
you simply start with that and then you select your county, your state--
populate with all the counties in your state and you can select all of them.
Or you can hold down the control key and then just select the ones you want
and then pick out to your selections.
And you can do that with all these geographic types.
So, I'm going to clear all these selections so this basket is very important to keep your eye
on because you're search, I always tell people this system--
you're a complex thinker and the system is still through system is a binary thinker
so if you put too many things in the basket that don't make any sense
to this binary system it will come back with no search results at all.
So, the other tab in this filter system that you want to be aware of is the topics tab,
it's much more comprehensive, it has people and all the different ways
that you can get indicators for people including veteran status,
poverty which is where you get poverty levels but also SNAP participation
and heating and cooling assistant.
Employment including benefits, education including educational attainment and field
of degree, this ability status including the type of disability
and whether you have self care limitation and so on.
So, these are really great to explore.
I'm going to collapse it and then open up housing.
And this is where you get as I mentioned rent cost and mortgage cost,
this is where you would get those indicators, rental statistics, owner cost and fees,
those rents remember I mentioned the grapy to you.
So, and then owner cost and fees so you can ascertain those pertinence for your community.
And there are other characteristics of housing as well.
Business and industry you won't use and governments not so much
but sometimes you just may want to short cut
and tell the system you want the most recent data available.
As you can tell this parenthesis just mean the number of data sets that are available
and we don't have that much data for 2012 yet so--
so, it's seven the most often and most recent in this case will be 2011 and product type
by those table types that cheat-- cheat sheet I gave you and you may not want to always go
into every single one of these topics but if you know you want a comparison table
or geographic comparison table, start
by telling it you want those product types otherwise you may not need it.
And again, program, I began by telling you about the difference between American community survey
in 2010 census so here you can develop a finer search
by telling it right away you only want American community survey data
or conversely you only want 2010 census data and that would be under the semi [inaudible] census.
We actually at this particular system has about 2,000 in 2010 census.
And I won't get into data set so those are the features and the topic and geographies tab,
so let's look at the exercises available.
The exercises we're going to do this afternoon.
The first one is, let's take a look at poverty rates in Alameda California,
we're going to focus on all families and we can explore how poverty rates change according
to family composition and over-- and as well as over the years.
The purpose of this exercise is to show you a comparison profile.
So, I mentioned that different product types,
comparison profiles only let you see consecutive one year ASC estimate
because you can obtain accurate comparison with three or five year overlapping estimates.
So, let's-- I think if this will be--
this is just one of these examples where exception not really clear
when you actually see it in action.
So, let's go back and-- our geography is a county, right?
It's Alameda.
So, we're going to tell it's a typing one it's a county versus California
and once it populates Alameda will be up there and I'm going
to throw that into your selections.
So, I'm interested in two things, I want year after year poverty rates so I know it's property
and I know I want a comparison profile so I'm going to--
people clearly experience poverty so I start there and I expand poverty and I feel poverty
into my filter so now I just fill the system I'm only interest in poverty in Alameda county.
Now, I don't have to do this but because I know I want a comparison profile I'm going to stop
over at [inaudible] type and select comparison profile.
So, I'm telling it, "I only want Alameda country poverty,
give it to me only as comparison profile."
And I conducted a pretty fine search because I only have five tables returned to me.
And Alameda's clearly a big country so--
and I can only get one year estimates for comparison profiles
because remember you cannot compare three
or five year consecutive three or five year estimates.
So, I'm going to open up the most current so I have 2707 and 11 identified for me.
And it's-- once it loads up, this is basically the cousin of the DP03,
this data profile 03 it's a basic table of economic characteristics but this time
in a comparison profile format and I'm scrolling down pretty quickly but you can see the trove
of that available income, income brackets, health insurance coverage.
And here we arrive at poverty and we arrive at our all families are 9.6 for the year 2011.
So, what's great about this is at a glance I can see what poverty look
like in the last several years in Alameda county
and more importantly the census bureau makes it easy and tells me this is--
that 2010 to 2011 estimate so it's tied to 2011.
Are these two different statistically significant and the census bureau by the absence
of an asterisk is telling me, "No, it's not-- once you compute MOE's there's no difference
between the 2010 and the 2011 poverty estimate for all family."
But then I go for the 2009 poverty estimate which is 7.3 and again it's tagged at 11, right?
And it's telling me, "Yes the '09 estimate is statistically significant
from the current 9.6 percent 2011 estimate and so on."
The 2008 estimate is statistically significant from that 11 estimate and the '07 is as well.
And this is where we can start looking also at poverty for different householder's composition.
So, it's 9.6 percent currently for all families but with related children under 18,
it's significantly higher and not so much
so that's generally the same rate for children under five.
It tends to be lower for married couples but it spikes considerably for families
with female householders or no husband present and so on.
And you can look at poverty for all people and this various compositions.
So, this helps you see that the rate is all people 13.1
but then you can see what the drivers of these rates are
by looking at these various composition.
For the next exercise--
[ Pause ]
Okay. So, it's your turn so hopefully you've had a good primer
and you're ready to search for your own data.
Your exercise is a compare poverty levels for all families.
In a primary county that you'll serve so obviously all your answers are going to vary
and here again I invite you to look at poverty for all people,
it's going to be the same table format that I just showed you in that exercise
but this time you'll be after DP03 instead of a CP03 but you can take a CP if you wish
but the general instructions are as follows.
If you look at number 3, go to advance search and your topics overlay select people
on property and then close your topics then go to your geography tab and select your county
and then close your geography's overlay.
I'll give you guys a couple of minutes.
[ Silence ]
And I could see-- excuse me, that Robyn has just invited you to go up here--
your selections and chat so, feel free to do that.
[ Pause ]
And of course tells you Geography your county and tell us whether you're posting
for all people or all families or female householders
or the way the children under 18 that stuff.
And this is significant, if you're county is smaller
and you did only get a three year estimate for it tell us
if you're not using a one year estimate, well,
otherwise we may all assume you're using a one year estimate.
And so, I already see San Francisco have a .5 for all families versus 13.8 for all people
in sections it's going to be one of those counties like DC that's going
to have just enormous variances across the cities similarly to Washington DC.
[ Pause ]
Someone--
[ Pause ]
Yeah, well, one of you has mentioned it disconnects the Webinar
but it shouldn't have any vary on the Webinar.
30.2 have Kevin told me 30.2 for the female householders
with related children I don't know what county that is.
And we have someone who's nesting already that's great comparing the city
of Oakland a specific neighborhood in Alameda county poverty rates.
Fulton, New York has 13.0 for all families and 16.9 and here's an example
from Jacob let's bring in your estimate.
So, we have, a number of you are going to be in counties
where you can't get one year estimates probably.
And here we have one from Polk County, Iowa with a five year estimate I wonder
if there was not even a three year, I haven't run into that in Maryland yet
but that could well be a case for even smaller rural counties
than I'm used to out here in Maryland.
[ Pause ]
Oh, so you should start at census.gov
if it's not already clear let me load the census.gov and--
web browser, check content and go to the data cap
and click American FactFinders, the second option.
And I'm hearing for people that they're surprised at what they're finding which is great
because a lot of people go into their communities kind of shooting from the hip
or you know going off of means but a lot of times data will blow away assumptions
that we all have about our community that we know and it's not that we think we know
than we know than we know them very well.
We have our census to experience them but data obviously allows us a bar astute level
of I think lends out your community through.
21.6 for all families in Orleans Parish and that's really high and I have a 44.8
in Travis County, I wonder what that kind of composition that is, that's astonishingly high.
So, a lot of you guys got the hang of that, I'm going to move on in the interest of time
or our time for your questions so, let's look at the next demo.
So, this is poverty across so [inaudible] can help you look at develop better eyes for looking
at poverty and its different compositions with householders and this time we're going to look
at poverty across multiple ethnic groups.
Poverty rates, so the question is why are the poverty rates in Montgomery County
for all people for the following Hispanic ethnic communities.
And so, they're Mexican, Guatemalan, Honduran, Nicaraguan, Salvadoran and Colombian.
Sometimes you may want to compare poverty rates or other indicators
across these various ethnic and racial groups.
When you're conducting your community needs assessments you want to know how
to develop programs for your stake holders and knowing
about their backgrounds could help you do that
and that could also help you conduct more effective outreach.
So, before I begin let me just point out again that there are a couple ways you can get race
and ethnic data from American FactFinder.
And I showed you, I think all of the times I kind of orient you so that you could see
where you'd be spending most of your time in the search tool so let me go back to advance search.
By the way, when you go back avoid using this back arrow and use that back
to advance search bar, I'm going to clear all of these because I no longer need any
of these filter items in my basket.
So, if you're just searching for the major race categories plus Hispanic identify you don't even
have to go to race and ethnic group caps, you can go to people
and you can go to race and ethnicity.
And you can pluck out what you want, Asian,
here are you major categories, Asian, Black, Hispanic or White.
And White not Hispanic means what it says, Whites who are not Hispanic.
But in this particular exercise anything more detailed as example where you're actually
after not just Hispanic identity but countries of origin then you should go
to that separate race and ethnic groups tabs so that's the purpose of this exercise
to show you why that tab is there and when you'll need it.
So, what I'm going to do here is just go to my go box, my search box and I'm going
to type the nature of these groups that I have.
I'm going to start with Mexican and let it go and so here it is it's up to,
in my results table and I'm going to click on Mexican and it's,
make sure it adds up in this year selection guys this is a mistake that I can -- make.
Another mistake that you need to be aware of is this is a filter within a filter you're going
to have to delete Mexican before you search for your Guatemalan.
And there's my Guatemalan I'm going to hit go, it's going to end up here
and I need to make sure until it's there.
And then I have to do the same for my Honduran and I got nothing back and that's
because I didn't delete this so that's why it's important you clear your last search
when you're in the filter within a filter.
So, I've got my Honduran and then I have my Nicaraguan and I hit Go.
I have to delete my Honduran and take my Nicaraguan.
This time I'll delete my Nicaraguan and look for my Salvadoran.
And I'm using, I'm taking advantage of that smart search feature that's anticipating
when I'm looking for, although I don't have to, Colombian--
oops, and I forgot to delete Salvadoran.
So, here's my Colombian.
[Inaudible] I'm done.
I'm going to close out in the shelter over lay.
And I'll tell you right now that-- oh, I haven't picked a geography.
So, I chose Montgomery County, Maryland.
And why are these grayed out?
Okay. I'm going to try to figure out why these are grayed out.
And I have no idea.
That's interesting.
I'm going to just kind of take a step at why they're grayed out by--
[ Pause ]
Sometimes when the system messes and it has never done this before.
So, we may have to abort this question right now.
[ Pause ]
Now, this is not suppose to be happening.
So, we need to-- we need to delete Honduran if that helps.
Yes, it's-- okay.
So, everything grayed out unfortunately.
And so, I see what's happening.
Okay. So, we're having a, we're just having American FactFinder meltdown
because my counties are not populating.
Sometimes this happens with the system, that's all right.
I think that's, it's still a teaching moment because the system does this and it's not you,
it's the system, so let's go back to and see what our next question is.
Our next exercise.
[ Pause ]
This, this would have been the result-- the system had been working.
And we-- we see the variances of poverty among the different Hispanics
in Montgomery County, Maryland.
And we see that the Salvadorans, we have to look at MOEs, margins of error to be sure.
But it looks like the Salvadorans and the Hondurans are experiencing poverty
at a higher rate than the other communities with the Guatemalan just close behind.
So, we have to keep in mind we're looking at a five year estimate at,
from 2006 to 2010 five year estimate.
And I apologize that the system's on the fritz.
Let's hope it's not for your turn.
This is your exercise.
And then I think we can-- we can go into questions.
I'm going to leave out that last exercise just in the interest of time
and giving enough time you're questions.
So, select three counties within your service area this time and determine
which has the highest poverty rate for Blacks or African-Americans.
So, this time you don't have to go to that race and ethnic group test,
remember just go to topics, people and after you select poverty, go to that race
and ethnic group, ethnicities up top and select Black or African-American.
Then you can close your topics overlay and select your counties
or select your counties first if you wish.
And once you're there, I'm going to just make the task a little easier.
This was going to be a detailed table, one of those Bs that I, that's on your cheat sheet.
And you're going to look for a V17020B.
And most of you, many of you though not all of you may have to use a three
or a five year estimate because there won't be enough Blacks or African-American sample
for the Census Bureau to release that data in a one year table for all of your communities.
So, I'll just hang back and you guys can throw out your answers, throw up your answers.
[ Pause ]
Okay, I have someone who have no duration as the group filters and your selections.
So, if you have no results that match your criteria, try a three year or a five year table.
If you can't get in a one year, go back to the main table results
and try opening a three and a five year table.
That's what's happening there.
Okay, we have another one telling me that every time I click
on the people tab, all options below it disappear.
They just-- that's another AFF error.
It just dims.
If you hover over, do a mouse over and hover over those,
the mouse hover will tell you what they are.
[ Silence ]
>> Hi everyone.
I just wanted-- this is Shannon.
I just wanted to connect.
I see that we're approaching 3:15 and I just want to make sure
that we were expecting everybody's time.
I know that this is really an incredible presentation and webinar and an opportunity
to just got dive in and get our hands dirty.
So, you're going to notice that we're-- be opening a poll.
And we encourage you to share your feedback and Nesreen, I want to make sure that we cover all
of the-- the great content that you have and then I'll let you figure
out how best to move that forward.
>> Okay. I think at this juncture, so Shannon,
they're going to have the option to download these slides, right?
>> Yes.
>> I'll go ahead and let you look at the last section.
I'm going to skip an exercise and you're community profile section is just everything
that is written here that I would, I would just read for you.
These are just tips for you to keep in mind when you're conducting your search.
So, please look them over before you start diving into your own searches and--
and systematically like developing-- the take away from this is to develop a game plan
for building your community profile and do so consciously and know what you're after
and know how to get around little glitches in the system.
For instance, some of you couldn't get data for one year estimates for Blacks in your county,
so go up to a three or a five year estimate.
So, those tips are off here.
And I also left you with some useful tables that you'll often go back to time
and again to get your poverty data.
So, they're all here listed for you.
And I really, I just want to open up before the questions
since we are limited on time, if that's okay.
>> And Amy, we're good.
If you can go ahead and let people know how to open up the phone lines.
>> Thank you.
>> [Inaudible] question.
>> If you like to ask a question on the telephone, please press star 1.
[ Pause ]
Once again, press star 1 to ask a question.
[ Pause ]
One moment for the first question.
[ Pause ]
>> -- SNAP benefits by individuals?
>> Sorry, can I hear that in its completion?
>> Sorry, we've been having technical difficulties.
Instead of going by household, can we get a percentage of people--
or sorry, the count for the number of people by census track for SNAP
or is it only by census household?
>> It depends on how the data is presented in the tabulation.
>> Uh-hmm.
>> So--
>> We're only seeing census households and not individuals.
>> Yeah. If it's not giving you per capita,
then that's all that's available in those tabulations.
>> Okay.
[ Pause ]
>> Clearly there are no other questions.
>> Okay. There are no other questions.
Okay.
>> Great. Will there's still an opportunity if you want to,
press star 1 and submit your questions.
I want to ask you a couple of questions from a Q&A that we have here.
The first one is-- [Inaudible Remark] The first one is from Kevin Hill [phonetic].
Should we ignore data that isn't statistically significant?
>> Yes. If you're-- ignore wouldn't be the right--
It just means, if you're using that CT table, that the data is not--
Yes, it means that you cannot say that there has been an increase in poverty from 2010 to 2011.
It means that you should understand how to interpret something
that is not statistically significant.
>> Great. We have another question here.
So, the-- this came after beginning the webinar.
The LA census is a really good census that is devised by neighborhood here in LA,
unfortunately, they're still using the 2000 census data.
Are there any other similar resources or should we be doing the SNAPing ourselves?
>> The most current data available, no one's developed an app
yet that it has the most current data available.
So, you still have to go through census.gov.
The New York Times has something that is block by block of the city 2007, no 2005, six, seven,
eight nine-- It's 2005 to 2009 data set.
And so, that's-- that's hold by our standards now but that's probably the next best resource
in terms of excellent navigation and usability.
I'll just show you that real quick.
[ Inaudible Remark ]
So, I just typed-- I just googled New York Times census map
and again, this is not the most current.
For the most current, you have to go census.gov
but this is really [inaudible], it's just numerous of code.
And also it's not every indicator that we have.
So, and apparently, it doesn't always work either so it makes me feel that--
feel better that I'm not the only one with glitches.
So, its select indicators, really nice mouse over, really nice census track work
but not comprehensive and not current.
[ Pause ]
Was that helpful?
[ Pause ]
>> Yes, I think that was helpful.
Do we have any other questions that have come over the phone
as we've answered a couple from the Q&A?
>> [Inaudible] to ask question, please press star 1.
One moment please.
>> Great, thank you.
We have another question that came in to Q&A about the--
the ancestry versus racial information.
So, does not, does ancestry necessarily present racial information so is there a necessary,
is there always a link between the two?
>> That's a complicated question.
Ancestry is-- is it's on box and its own question.
But because the race category, the major race categories does not ask
for Whites or Blacks, what the origin was.
It's the only opportunity for you to see what the origins of your White
and Black community members are from census data.
Hopefully, that explains the relationship.
You get the desegregation from Asians and Hispanics
from the major race questions we asked.
And otherwise, there would be no, there would be no data on the ethnic origins of your Whites
and Blacks without the inclusion of the ancestry question.
[ Pause ]
>> Thank you.
We have a one last question that's come in to the Q&A which might be large question
but we might have an entire webinar on and have.
Why is poverty so hard to measure?
>> Okay. Well, I should definitely shut up by saying I'm not a poverty expert.
And I actually listened in on your webinar with your poverty expert.
We ar-- we are using a poverty definition that has been
around since the Johnson Administration.
There are many social scientists who disagree with that definition.
And the Census Bureau accordingly has began using something called measuring something
called the supplemental poverty measure.
And the supplemental poverty measure appends the current poverty basket
by including things that-- that per poverty measure does not like SNAP benefits
because SNAP benefits alleviate poverty.
But it also deducts things that make poverty worst like expenses for child care
and commuting to work and healthcare.
A supplemental poverty measure is only available by state and it is supplemental.
It's not an official poverty measure, it's not used for the disbursement of funds
for several programs, but it is-- it is a response to the criticism like social sciences,
another aspect that-- that's pretty important in terms of the criticisms, is--
is the poverty income thresholds vary by geography which is a huge criticism.
So, start again the supplement always experimental, it's not [inaudible],
it's just I think it helps social scientist work critical as the current measurement,
build their case for changing it but, like everything in our society it will take time
and probably some drum beating in cage building for several years out.
I hope that I answered your question, but you can always go to census.gov
and under the search field, type in supplemental poverty measure to learn more about it
and to see what's measured in that basket versus the official poverty measure.
That might be illuminating for you.
>> Great, thanks so much Nasreen.
And we have another question, this one is specific
to Ohio although I think it could be applied anywhere should be looking
at the Ohio Department [inaudible] the name right here.
If the Ohio Department of Job and Family Services, they put up a monthly report
on public assistance specific and where those dollars are going?
And she was wondering whether or not, you know, the percentage of poverty would be different
from the census and so one of the criteria would be the same and--
and whether or not, you know, what-- how that was determined?
And why they wouldn't necessarily be [inaudible] between the two?
>> So, is she saying that the poverty measure and poverty rate are different?
>> I think that should asking when I'm looking at the report,
I'm saying that they're actually the same [inaudible] refer with you.
>> Yeah, I mean I-- I was going to say, I'd be very surprised that they were different
because the official poverty measures can play for the disbursement of dollars.
You know, like it or not, it's what we have and, you know,
it's what all the funding for me those are tied to.
So, the fact that they're the same as what I wish expect to find, they should be.
>> Great, thank you.
And another question that we had is whether or not anyone knows whether
or not SNAP funding will be cut again in November
and if it helps poverty levels decrease, why cut it?
>> Oh, yeah.
That-- that's way beyond my [inaudible] and it might--
I apologize, I can't even [inaudible] that, complicado.
[laughs]
[ Pause ]
>> Wonderful, we are going to check in once more with the phone,
so make sure we didn't have any remaining questions there.
>> I do have a new question.
So in that first question, the name is not recorded to be at the question,
you're line is open, please check in your button.
You had a question, your line is open, please check your button.
>> If we're interested in using shape files from TIGER/Line,
would you prefer that we ask it separate time or would it be appropriate for this conversation?
>> Oh, wow, you may have a geographer and know how-- so, okay, I wasn't expecting a geographer.
We better take that one offline because I don't have much geography acumen and I would have
to connect you with the geographer on my shop so if you want
to e-mail me separately I'll make sure I do that.
>> Oh, thank you so much.
>> Sure.
>> [Inaudible] concerning Jamie Hannah [phonetic], and your line is open
>> Hi, I was wondering, you know, if the census contains information about public health
such as obesity rate [inaudible], domestic violence,
epilepsy, different information like that.
>> The census bureau has collects data for a lot of federal agency--
agencies but, it's not census proprietary I guess you could say.
So, I know that there's a CDC collects obesity data so, if you-- my advice to you and you--
and mention obesity and what else did you mention?
>> [Inaudible] domestic violence, epilepsy--
>> Okay. Thank you.
>> So, USDA has [inaudible] data, CDC
and some NIH have the other indicators that you mentioned.
But to shortcut this whole process, my advice should be check out data.gov and then type
in each of the indicators you're interested in and you can get, you know, that way,
you don't have to search each file separately and--
and you can get the various data that you're looking for from other federal agencies.
'Cause almost everything you mentioned, another agency has.
I know USDA has actual--
>> What was that last suggestion the last place to look for?
>> I'm sorry?
>> What was that last suggestion they got that has all that data?
>> Oh, data.gov, so.
>> Data.gov, okay, thank you.
>> You're welcome.
>> Currently there's no other questions.
[ Pause ]
[Inaudible Remark]
>> Great. So, there is one more question and I can't actually see that part.
>> Okay, so we were talking about a large margins of errors and can I ask a question
to some of the margin and they're percentages are between the 8 to 12 percent mark,
would that may come-- confidence interval less than 95 percent
or does that make the information unusable?
>> Well, the census is there, they have statistician in the room--
many statistician prefer 95 percent.
We can get 90 so that's number one and number two is,
the census bureau with extremely cautious, it doesn't--
it won't way in on whether the data is unusable.
It-- It's taken a position and I have to take that position to that-- those we--
we will accomplish the margins are there and you bring in the judgment.
>> Great. Well, thank you again everyone for participating.
There's been a lot of great questions.
Good interaction, as quickly, I'm going to walk through a couple of next stuff
so that you can keep the conversation going.
So, you know, visit the American FactFinder and continuing you go through this stuff
on building your community profile and we'll be sending out the slides for--
probably the slides from today's presentation so that you'll be able to see what those steps are
and then begin to use that information to build your community profile.
And then, you know, work to use the data that you uncovered to really inform the work
and improve your project and then we will continue to put additional resources
and they are already great resources on the--
the campus that can help you and support the work that you're doing.
So, be sure to log on and check out the pages for that.
And then finally we want to hear about the experiences in how, you're using the census data
to inform your work on the VISTA forum.
So, keep us updated.
And then-- so, thank you again for your participation
and if you have any further questions or if you like more information, you can always contact us
at this webinars at census.gov or [inaudible].gov, excuse me.
And then, we invite you to join us on June 12 at 2:00 PM for the power
of service, mobilizing volunteer.
So, thank you again and we look forward to seeing you back soon.
>> Thank you for your participation, you may disconnect at this time.