SIPP Webinar Series: Assets, Income, and Poverty

Coordinator: Thank you for standing by I’d like to inform all participants that your lines are on a listen-only mode until the question-and-answer session of today’s call Today’s call is also being recorded If there are any objections, you may disconnect at this time I will now turn the call over to Ms. Deborah Rivera Ma’am, you may begin Deborah Rivera: Thank you so much Christy Good afternoon everybody Welcome to this SIPP webinar series, Webinar Number 4 As Christy stated my name is Deborah Rivera I am a training specialist for the Census Bureau And today we have a webinar on Assets, Income and Poverty where our speaker will be discussing the basics of the assets, income and poverty content in Waves 1 and 2 of the 2014 Survey of Income and Program Participation The SIPP webinar series will continue throughout the month of June The next webinar will take place this Thursday, June 20 at 2:00 p.m. Eastern Time And it will be on Programs, Adult Well-Being and Food Security So a few housekeeping items before we get started As always we are recording this webinar and along with the training materials associated with it, we will be posting it to our Census Academy site as a free learning resource Previous sessions of the SIPP webinar series are already available and those include all of the handouts, the exercises and a few other items So if you’d like to find those, we will be sharing a link with you on the screen and we’ll be sure to send it through the chat as well So we will wait for questions to the end or until the end of the presentation, but we also have the chat feature as I mentioned So if you wanted to submit your questions in written form, we do have subject matter experts available to field your questions I would now like to introduce our presenter, Shelley Irving Shelley Irving is a survey statistician in the SIPP coordination and outreach staff And she has been at the Census Bureau since 2009 and has worked on the SIPP that entire time on a variety of capacities Shelley has a Ph.D. in sociology and demography from Penn State Thank you so much, Shelley Shelley Irving: All right, thank you, Deb, for that introduction As Deb mentioned, this is part of the SIPP webinar series This is Webinar Number 4 and we will be discussing assets, income and poverty My name is Shelley Irving I’m from the SIPP Coordination and Outreach staff here at the US Census Bureau Also on the line we have Mathew Marlay and Holly Fee who are also from the SIPP Coordination and Outreach staff So as Deb mentioned, we’re doing a bunch of SIPP webinars on various topics throughout the month of June We’re mostly focusing on Waves 1 and 2 of the public use data However, I will mention that we recently released Wave 3 We do have supplemental materials including exercises and handouts for most to the topics And the webinars will be recoded and posted for later reference If you want to learn more about this webinar or others in the series, check out that Web site On the right-hand side of your screen, you’ll see the list of topics as well as the session dates Before I begin, I want to mention that if you haven’t already done so, I would suggest that you listen to the overview session that took place two weeks ago This covers a lot of general background about the SIPP but includes a lot of good information on definitions and concepts that are new to the 2014 SIPP And will be important for your understanding of the material them about the present Today’s webinar we will be looking at assets, income recodes, and poverty and then I will follow that up with a brief discussion of some resources for data users We’ll start with our asset content So the 2014 SIPP provide data on assets, liabilities and additional assets-related content The asset content is divided into the category of retirement accounts, interest earnings, asset, other income generating asset and the other assets Liabilities include those that are secured by asset and those that are not secured by asset The additional topics include information on rent or mortgage payments and the payment of utilities There are several items that are new to the 2014 SIPP panel This includes annuities, trusts, educational savings accounts, such as 539s, and Coverdell accounts, businesses owned by an investment only and debt from student loans or educational-related expenses Some variables are person-level while others are household level

Regardless, there is no monthly variation in the assets data So you’ll remember that the SIPP the 2014 SIPP panel or, you know, data files come out as a person month file So there are 12 monthly records per person So you’re going to see the same asset values for all 12 monthly records for a person to the person level variables and the same value for all 12 monthly records for all members of the household for household level variables So when you’re doing an analysis is important to know first if this is a person variable or household variable But then also you want to just use one monthly value We recommend using month code equals 12 which refers to December of the reference year For many of the person level assets there are separate variables for assets owned jointly with a spouse Those held jointly with someone other than a spouse And in those that the respondent holds in their name only You will know this in the variable name So if you see the EJS in the variable name it indicate that it is the asset that is held jointly with a spouse EJO in the variable name indicates an asset that is held jointly with someone other than a spouse in the household And EO are assets that are held individually Married couple household or married couples have the same data for assets that they hold jointly So for the amount variable the total amount is divided by two and put on each person’s record So for example, you’ll have the variable EJSOWNCHK which indicates that you own a regular checking account with your spouse And then a TJSCHKVAL is the value of that checking account And I will show you an example of this in a little bit, but the reported value is divided by two and put on each spouse’s record So there is no double counting of assets We use some across people in the household So the information that is being shown on these next couple of slides is also available as a handout on the webinar Web site So if you’re interested in doing the different topics that we have in the assets content, and some of the information about it Please do check out that handout So the abbreviation column shows the letter sequence for each asset type that you will see in the variable name And as I mention on the previous slide, some of the variables are available at the person level while others are at the household level And it will tell you on these slides where, what level these variables are for A check in the income column indicates that there is a variable indicating the annual income amount and a check in the type of the ownership column indicates that you can determine whether the asset is owned individually with a spouse or with another household member At the top of your screen or at the top of the table you will see that the retirement accounts are divided into one IRA and Q accounts and two 401K, 403B, 405B and thrift saving plan accounts Next you’ll see the complete listing of interest-earning assets that are available in SIPP This includes items such as interest-earning checking accounts, money market accounts and certificates of deposit Here is our list of other income generating assets which comes in the form of stocks, mutual funds, rental property, annuities and trusts This slide shows our other assets topics that are included in SIPP This includes things such as regular checking account, primary residences, cars and others financial investments Other financial investments may include things such as coins, collectibles, jewelry, artwork, mortgages paid to the respondent, other loans owned to the – owed to the respondent and royalties Here’s a listing of the different liabilities topics So you also see the abbreviation which is the sequence of letters that you’ll see in the variable name Some of the liabilities are household level Some are person-level just as with assets And for several of these variables, you can identify whether it was owned individually,

jointly with spouse or jointly with some other household member So at the top, you see our list of debts that are secured by assets This includes items such as primary residence debt, vehicle debt, and debt on a business owned as a job On the bottom, there are three types of debt not secured by assets These include debt from credit cards or store bills, student loans and other educational related expenses, and a catch-all other debt category In addition to the information about specific asset and liability topics, our subject matter experts have created some very easy to use recodes for the asset section We suggest trying to use these when possible since they are easier to work with and more intuitive than the original variables And these are all so variables listed here are all household recodes that go on the record of every person in the household You’ll see that all of these variables start with a T. So these are recodes, but they have been top-coded So they get that T prefix So we have TH Net Worth which is total household net worth THVAL underscore Bank, a recode for the balance of all bank accounts for accounts at financial institutions with the household THVAL underscore R-E-T which is retirement account balance recode THEQ underscore home, home equity, THVAL underscore AST, total household assets and THDEBT underscore AST, is total household debt So now let’s go ahead and look at some example data so that you sort of get a feel for what to expect when you start working with the data So this example shows one month of data for the people living in three households I’m just showing month code equals 12 which refers to the December of the reference year because as I already said there is no variation in the values across the reference year So they’re going to have the same value in Month Code 1 as they have in Month Code 12 So you just want to look at one month We are looking at the value of checking accounts So individually, with a spouse and with someone other than a spouse In addition to total person level debt, total household debt and total household net worth TOCHKVAL is the value of individually owned regular checking account You’ll see that that the adults in the first household each have an individually owned checking account So Person 101 has his or her own checking account and it is valued at $2,000 And then the Person 102 in this household has his or her own checking account and it is valued at $525 TJSCKHVAL is the value of a join tly owned with spouse regular checking account You’ll see that the couples in the second and third households have checking accounts owned jointly with their spouses Remember that the total value is divided by two and put on each person’s record In the case of the second household, Persons 101 and 102 each have $50 on their record telling us that the total amount in that checking account is $100 Looking at the third household we see that Persons 101 and 102 each have values of $575 which means that there is a total of $1,150 in this joint account Where that third household do note that the amount is only on the record of the very couple, not on anybody else including children in that household TJOCHKVAL is the value of a jointly owned with someone other than the spouse regular checking account Person 102 in that first household has a checking account that is jointly owned with someone other than a spouse When an account is jointly owned with someone other than a spouse, the respondents are asked to share the account that belongs to them So we get – we rely on accurate reports by respondents for this information TDEBT_AST is total person level debt You’ll see that the universe for this variable is people aged 15 plus remembering that this

the definition of an adult in terms of SIPP respondents And then anybody who is less than 15 is non-universe and has a missing value In this example, the values of person-level debt range from zero dollars to $20,000 THNETWORTH is total household level net worth As you see in the second household in this example, total household net worth can be negative depending on the value of debt within a household As this is a household level variable, it is on the record of every person in the household So every person in the household will have the same value And again, this shows – this example shows data for month code equals 12 You would see the same values present from month code values of 1 through 11 So you just want to focus on one month so that you don’t end up multiplying assets and debt amounts by 12 And as I just mentioned respondents who are less than 15 years old are not asked the questions about assets and debt They’re not in universe, instead, they’re missing They do, however, get values on the household recodes Here’s another example This is an example of vehicle ownership data and it incorporates data from Wave 1 and Wave 2 We have 24 monthly records for a single respondent I’m not showing all of the months here because there simply is just not enough room on the screen However, since these data do not vary within a way, you’re not missing any information This is a long file So we have the Wave 1 data at the top in that light blue color And are identified with a month code value of 1 through 12 So Wave 2 data are at the bottom in gray and have month code values of 13 through 24 Remember that each SIPP wave contains month code values of 1 through 12 So what we did when we stacked this data is that we added 12 to the month code values in the Wave 2 cases so that we would get the month code values of 13 through 24 and it would be easily distinguished from Wave 1 data Notice that there is the same value across all person months within a wave for a person And in this example in Wave 1, TE – TVEH underscore NUM is the number of cars the household owns In this case, they have two cars In Wave 2, the household owned three cars In Wave 1, the household owned two cars So the year of these two cars are listed under TVEH1 or 2 underscore Year The value of TVEH1 underscore Year should be the newest car In this case that is a Model Year 2014 The second car is listed under TVEH1 underscore year and is a Model Year 2010 As you’ll see, you really can’t compare cars across waves You’ll see here that this household acquired a third car between the Waves 1 and 2 interviews In this case, the new car they acquired was a Model Year 2015 If you look at TVEH2 underscore year, however, you’ll see that there’s a value of 2015 Due to the top-coding procedures for TVEH2 underscore year, any car that has – is a Model Year 2013, 2014 or 2015 is collapsed into a single category that is just given the value of 2015 So it may or may not be the Model Year 2014 car that was reported in Wave 1 And then you’ll see the 2010 car listed under TVEH3 underscore year These variables do have the T prefix They are top-coded So if you are interested in using this or any other top-coded variable, make sure you check our data dictionary or metadata from – make sure that you’re not misinterpreting some of the values that you’re seeing in the data

So I’m going to wrap up the assets with a – just a few notes about the data The match between steps and the survey of consumer finance is estimates is closer in the 2014 panel than it was in the 2008 panel So for median net worth this is no statistically significant difference between the SIPP and SCF estimates However, the difference between the SIPP and SCF estimates for the 25th percentile of net worth is large It’s about 3,700 for SIPP compared to 8,700 for SCF Many of our asset amounts do have high imputation rates However, the rates are lower in the 2014 panel compared to the 2008 SIPP panel Part of this was due to the fact that the implemented range follow up questions to help us provide better imputed amounts So for example, if someone said I have a retirement account, but they couldn’t tell us the amount that was in that account We asked well how much was in that retirement account? Would you say it’s less than $5,000, between $5,000 and $25,000, $25,000 and $50,000 or $50,000 or more? And then if they were able to give us answers in some of those ranges then we would impute an amount in that range rather than from a whole spectrum of responses And finally the 2014 SIPP panel provides better estimates on the value of vehicles and life insurance plans compared to previous SIPP panels So here’s an example of something you could do with the assets data Just a few things I want to mention These published values use non-top-coded values So as you know the public use data are top-coded And also there were certain universe restrictions mostly having to do with group quarters that were made when making this table that you can’t do with the public use data Nonetheless, you could certainly come up with something very similar if you were so inclined So it shows the percentage of households that held an asset type and the median value This next example is just an extension of that previous slide, so they added the Wave 2 data and they also added unsecured liabilities So you have the percent and an median value for 2013 and 2014 That wraps up our asset section We’ll move into income recodes now Our income recode content includes earnings, property income, means tested transfer payments, income from social insurance programs, income from other sources and total income All of our income notes are top-coded This is done primarily for disclosure reasons However, it does also handle concerns of outlaying cases So all of the components – all of our separate individual income components are top-coded For that we identified a top three percentage – 3% of cases We find the mean of those cases and then each of those cases is given that mean value And then the individual income data are top-coded Those top-coded values are used in creating our income recodes Earnings, TPEARN is the sum of gross earnings, wages and salary and/or the amount of monthly income positive or negative from self-employment for each job and/or business Property income TPPRPINC is the sum of dividend income, interest income and property or rental income Note that the property rental income is an annual amount It is divided by 12 to get a monthly amount Means tested transfer payment, TPTRNINC is the sum of payments from supplemental security income or SSI, temporary assistance to needy families or TANF, passthrough child support and general assistance or GA Income from social insurance programs, TPSCININC is a sum of income received from VA benefits except for VA pensions, workers’ compensation, unemployment compensation and social security And then we have income from other sources, TPOTHINC It is a sum of income received from other income sources such as survivor benefits,

retirement benefits, disability benefits, foster childcare payments, child support payments, alimony payments, lumpsum payments, deferred payments from a prior job, life insurance payment and miscellaneous income sources Several of those that are listed, again, are annual amounts They’re divided by 12 to get a monthly amount And then where you see the numbers in parentheses it just means that number of possible sources So for disability benefits there are ten possible ways you can get disability And that will be discussed in more detail on Thursday’s webinar, I believe And before I forget, I want to mention that the 2014 SIPP panel is the first to differentiate social insurance income from other income sources And then we have total monthly income It is the sum of earning, property income, means tested transfer payment, income from social insurance programs and other income I will show you an example of how this works momentarily I will mention that total monthly income is available at the person, family and household level And it is available with and without Type 2 people If there are no Type 2 people present in the household in a given month, then the value with and without Type 2 people is the same For those of us who need a reminder, Type 2 people are people who lived with a sample respondent during the reference year but not at the time of interview Type 2 people are not in a sample household at the time of interview, so they don’t have a person record in the data But we do have some information about them, and we do have information on income and poverty status both with and without Type 2 people Here’s an example data We’re looking at one month of data for four separate households Keep in mind that the income data, the income recode data may vary month to month And what I’m showing you here are the personal level income sources So we have earnings income, property income, means tested transfer payments, other income sources and income from social insurance programs and then at the end we have total person income If you sum the five income sources which are in yellow for this top respondent, you will get the total person level income in fuchsia for a given month For total person income TPTOTINC, respondent less than 15 are given values of 0 There is one exception and that was being respondents less than 15 who receive SSI They would have a value on TPTRNINC which is the mean tested transfer payments I will discuss more about this on Thursday when we discuss programs But as a general rule, those under 15 are going to have a value of 0 Here we’re looking at the same household as in the previous slide This example is to show you how total person income is used to create family and household income Looking at our top household, if you look at RFAMNUM, you’ll see that there are two separate families in this household Persons 101, 102 and 103 are in a family So their total person income is summed to create total family income Persons 104 and 105 are a separate family in that household and their total person income is summed to a total family income Total person income is summed across all the people living in the same household to create total household income To identify who is living in a single household in a given month, you need to identify the people with the same value of SSUID and e-residence ID in a given month We know that they all live together when they were interviewed, but they don’t necessarily have to had lived together throughout every month of the referenced year Looking at our second household, you’ll notice that in this month, which is January, month code equals one, Person 101 lives at a different address from Persons 102 and 103

So they have separate household income and in each case family income equals household income Our third household is a one-person household, so person income equals family income equals household income And then our final household there are two separate families Persons 101 and 103 are family So their person income is summed to get family income and Person 102 is not part of that family So their person income equals family income And the income is summed across all three people in this household to get total household income What you’re looking at here is an example for one respondent combining Wave 1 and Wave 2 This is a wide file I have the Wave 1 variables on the left They have the underscore W1 suffix And the Wave 2 variables are on the right with the underscore W2 suffix Here we’re just looking at total person level income, TPTOTINC, earning income TPEARN and income from social insurance programs, TPSCININC These respondents all had 0 dollars in reported income from other income sources; property, means tested and income from other sources So they’re just not shown here On your left, as I said you have the Wave 1 data On your right, you have the Wave 2 data Looking at January of 2013, month code equals 1 for Wave 1 We see that total income TPTOTINC is the sum of all the income sources So you just had TPEARN and TPSCINIC Remember that the other three income sources are equal to 0 And the same thing goes for every month across Waves 1 and 2 You just sum all of those individual income recodes to get the total person income And you’ll notice that income amounts may and often do change month-to-month That wraps up our overview of the income recodes data and now we will turn our attention to poverty data The poverty data includes monthly poverty thresholds, monthly income to poverty ratios, and annual income to poverty ratios The data allow data users to track individual’s poverty status from month-to-month With these data, you can create monthly poverty statistics, do spell-base poverty analysis, and examine poverty transitions such as identifying trigger events, excuse me, events that trigger changes in poverty status As you may be aware already, poverty status is a function of family size, the number of children in the household or family and age Here is our poverty threshold table for 2014 And these are the thresholds that are used for the official poverty measurement So if total income is below the threshold, you’re considered in poverty If you are at or above the threshold, you are considered not poor These are annual measures To create the monthly measures that you’ll see in the data, we divided the annual thresholds by 12 and I will mention that the thresholds are adjusted for this consumer price index monthly In SIPP, family and household composition are dynamic That means it can change month-to-month So if there is a change in the family or household composition across months, you will see a corresponding change to the poverty threshold The poverty threshold are not adjusted for the number of days per week or days or weeks in the month Whereas income is So this causes income in short months such as February to be lower relative to the poverty threshold Thus increasing the likelihood of falling into poverty in that month We do have plans to correct this for the 2018 SIPP panel, but we do know if you’re working with the 2014 SIPP panel that you do this little bump in poverty in February Finally unlike the ACS and SIPP, excuse me, the ACS and SCF, with SIPP we observed monthly

changes in family dynamics in corresponding changes in income and poverty status And poverty measures in SIPP are available with and without Type 2 people And the presence of Type 2 people generally increases household income and results in lower poverty estimates Here we have the poverty variables that are available in the 2014 SIPP So as we mentioned in the income recode section, we have total monthly income Additionally, we have the poverty threshold value And then the monthly income to poverty ratio and an income, annual income to poverty ratio All of these measures are available at the household level and the family level both with and without Type 2 people And so you’ll see the variable name that they are depending on which type you are interested in looking at So let’s turn our attention to some example data Here we are looking at Month Code 1, January for three different households What you see here is total family income, the poverty threshold and the monthly ratio both with and without Type 2 people So within a month, you have TFTOTINC, total family income in orange You divide that by RFPOV, which is the poverty threshold, and you get TFINCPOV Which is the monthly income to poverty ratio And then you do the same thing with the variables that include the Type 2 people You take the income variable with Type 2 people divided by the thresholds, including Type 2 people and then you get the monthly income to poverty ratio including Type 2 people In the first and third households, you will notice the presence of Type 2 people as indicated by the different values on income, the threshold and the ratio with – versus without Type 2 people So even without having to look at the Type 2 data, we know that there are Type 2 people present in these two households for the month of January In the second household, we see different family units So each family has their own total family income, poverty threshold and ratio Preparing Wave or without Type 2 people to with Type 1 people we see that they’re the same value So there are no Type 2 people in this household in this month So now let’s combine data from Waves 1 and 2 for a single respondent This is Wide File We have total household income, monthly household threshold values, the monthly income to poverty ratio, and the annual income to poverty ratio On the left in blue is data from Wave 1 It has the underscore wave, W1 suffix on the right in orange Data from Wave 1, it has the underscore W2 suffix So within a given month, if you were to divide THTOTINC, divided by RHPOV, you get THINCPOV which is the monthly income to poverty ratio And you will see that this changes, can change month-to-month as income changes or the threshold changes We also include annual measures on the data file So if you were to sum all of the monthly total household income in yellow, you would get their annual income Similarly, if you were to sum RHPOV, you would get the sum of – you would get the annual ratio, excuse me, the annual threshold And then if you divided that total annual income by the total annual threshold, you would get the annual poverty ratio which you see in red This is an annual measure So it’s going to have the same value for a all months of the reference year And in this case for the 2014 SIPP panel, a reference year is the same as the calendar

year And you would do the same for Wave 2 Sum the total household income Sum the total household thresholds and then you would get the total annual income to poverty ratio for Wave 2 I will briefly discuss our supplemental poverty measure So since the creation of the official poverty measure in 1964, several changes to the social safety net and taxes have occurred These include a vast expansion of a supplemental nutrition assistance program, SNAP or food stamps for under $1 million in relief in 1964 to over $40 million today The introduction of Meda, Medicare and Medicaid programs in 1965 and 1966 respectively, the creation of the earned income tax credit in 1975 and large changes to the tax code In November of 2011, the Census Bureau released its first supplemental poverty measure of SPM report The SPM follows the official poverty measure in using the current population ASAK and includes broader measurement units of families revised poverty thresholds including a larger share of consumption than food consumption used in the official poverty measure, geographic adjustments, medical out of pocket expenses, transfer income and tax adjustments This slide nicely summarizes the difference between the official poverty measure and the supplemental poverty measure For the official poverty measure, the measurement unit are families who are people related by blood, marriage or adoption For SPM, the measurement unit are resource units which is the official family definition plus any co-resident unrelated children, foster children, unmarried partners, and their relatives The poverty threshold for the official poverty measure is three times the cost of a minimum food diet in 1963 This special varies by family size, composition, and age of householder And it has been updated annually based on the consumer price index In contrast, the SPM’s poverty threshold is based on expenditures of food, clothing, shelter and utilities This threshold varies by family size and composition Additionally there are geographic adjustments for differences in housing cost by tenure and it is updated annually using a five-year moving average of expenditures on food, clothing, shelter and utilities For the official poverty measure, resources are measured as grossed, pre-taxed, cash income For the SPM, resources are measured as the sum of cash income, plus noncash benefits that resource units can use to meet their food, clothing, shelter and utility needs minus taxes, work expenses, medical expenses and child support paid to another household The 2014 SIPP has many useful features for implementing the supplemental poverty measure We have detailed questions about earnings, program participation and benefit amount Medical expenses, work and childcare expenses and child support paid Additionally the household relationship matrix variables which are RREL1 through RREL30 and the correspondent RREL_PNUM 1 through 30 as was discussed in our demographics webinar a couple weeks ago And we have the inclusion of Type 2 individuals that helps to identify SIPP household relationships We also have questions regarding whether household filed a tax return, their filing independents status and whether the received the earned income tax credit which is helpful in calculating taxes paid and tax credits received For more information, check out this website That’s all about the supplemental poverty measure That wraps up our content portion of today’s webinar Now I will just point you to some handy resources So up on the website, you will find exercises We have a handout with information about the exercise as well as SAS and data solution code We have an assets, a couple of asset exercises, some for income recodes and some for poverty As I mentioned, we do have the assets handout available on the website

And you can access all of those materials at this website For general data resources when it comes to SIPP, you have our SIPP website There’s also the SIPP FTP site where you can just kind of directly access data or data dictionaries And the NBER has a great SIPP webpage I think it is particularly useful if you’re not SAFF savvy They also have the data available in a data and SPSS Although for the 2014 SIPP panel, we did release the data in SAS and Stata for the first time The SIPP website is probably your best overall resource There we have our users guide, our metadata, our release notes, user notes, codebook, and a crosswalk; so 2008 to 2014 and 2014 to 2008 If you are interested in the topics that we’ve talked about today Here are a couple of publication available on the SIPP website that are related to the data that we talked about We have the network of households, improvements to measuring the network of households and the monthly and average monthly poverty rates by selective demographic characteristics and there are other SIPP publications on other topics here as well So the next webinar in this series is scheduled for June 20 which is Thursday We will cove programs, adult well-being and food security If you’re interested in the Census webinar, there’s the Web site again and then again on the right is the topic and their dates Those that we already have done are or will be available on the Web site if you missed and you want to catch up So with that, I want to thank you all for joining us today Here is the SIPP email address an our phone number Please feel free to give us a call or send us an email if you have any questions as you – regarding this data And I think at this point, we will open up the lines for questions Coordinator: Thank you To ask a question, please press Star followed by the 1 Record your name clearly when prompted To withdraw your question, please press Star 2 Again, if you would like to ask a question, please press Star 1 One moment please Our first question comes from (Jonah) Your line is open (Jonah): Hi there, thank you It’s pretty clear that this particular dataset release is geared towards, you know, super researchers that are really going to crunch numbers I’m just wondering for those of us that don’t want to dig that deep, do you publish summary tables by topic and geography like the ACS would do or does Mathew Marlay: So the – SIPP is mostly at the national and state level (Jonah): I understand that Mathew Marlay: Okay, so right So we don’t have all of the substrate geographies like ACS does The different subject matter branches publish different kinds of reports I think Shelley’s slides showed a few of the reports that we publish, and the poverty branch has put out things, research about poverty using the SIPP numbers If you have some specific questions that you’re interested in, if you want to send us that in the chat, we can forward your questions to the subject matter experts and they ought to be able to point you to anything they produced ‘ (Jonah): So on a selective basis, they’ll publish those types of reports Do they understand that it’s primary national state, will they aggregate data? Like for example, home equity averages at the county level or is that too detailed in the geography to be statistically? Mathew Marlay: Yes, that chops our sample too finely to be able to provide really meaningful answers (Jonah): Okay, so you really don’t go too much further down from the state level Mathew Marlay: Right, not below the state level (Jonah): Okay, got it Okay, thank you so much Mathew Marlay: You’re welcome Coordinator: Thank you Our next questions comes from (Mary Gray) Your line is open (Mary Gray): Yes, my names is (Mary Gray) I’m very interested in this particular webinar that you’ve presented I’m retired from banking and anyway, I’ve lost a lot of assets and everything over the

last 10 years due to different situations And I want to make sure that I will get a copy of this webinar in your registered, you know, the website Will there be a copy sent so I can go through this again? Shelley Irving: The slides should be available on the website now If you wanted to download them (Mary Gray): Okay Shelley Irving: The recorded portion of it will be added in a couple of days as well as the transcript if you needed that information as well Deborah Rivera: We’re now sending them through the chat (Mary Gray): Yes, I would like to have that information because I live in an area where poverty has become extremely relevant to this And so I would like to – Shelley Irving: I believe Deb is sending the link to that information right now (Mary Gray): Okay, thank you so much I appreciate it Shelley Irving: Thank you for joining us Coordinator: Thank you Our next question comes from (Jonah) again Your line is open (Jonah): Sorry, I’m good Thank you Coordinator: Thank you Again if you would like to ask a question please press Star followed by 1 One moment At this time, I’m showing no further questions We do have one new question from (Anthony Edwards) Sir, your line is open (Anthony Edwards): Yes, I was just wondering if there are any recommendations on maybe substate measures of poverty in some way, shape or form, even if it’s not through Census if there are other sources that you are aware of Shelley Irving: Yes, you’re not going to be able to get them from SIPP I would, ASC and CPS would be your best bet for getting any geography smaller than the state level But again, you know, they don’t have the monthly information that we have So it’s a tradeoff on what information that you want Does that address your question? (Anthony Edwards): Yes, ma’am Thank you Mathew Marlay: Certainly if you’re looking for very fine geographical measurements, the American Community Survey has a very, you know, they’re very geographically specific So that ought to give you what you’re looking for (Antony Edwards): Is there anything on a quarterly basis? Mathew Marlay: Not that I know of ACS is always in the field, but they only release data once a year And I’m not sure how frequently CPS releases data (Anthony Edwards): Okay, thank you I was just – I know BLS does some quarterly stuff And I didn’t know if there was anything in there that might be applicable Mathew Marlay: So if you – this is Mathew Marlay If you want to send me a note including your email address in the chat, I can forward your question to our poverty statistics branch And they ought to be able provide you with some specific information (Anthony Edwards): Awesome, thank you Mathew Marlay: You’re welcome Coordinator: Thank you At this time, I’m showing no further questions Mathew Marlay: Shelley, there was a question that just came in the chat Do you want to answer that? Shelley Irving: Yes, I’m trying to find it right now Which data point do we update monthly versus yearly? I think it’s just the monthly poverty ratios that are adjusted month to month based on the CPI Otherwise I think the income measures are all just divided by 12 and it’s just that threshold, some of the threshold that’s adjusted month-to-month So you won’t – like if there were no changes in family dynamics month-to-month, you would not see it You might see a slight change in the threshold And that’s just based on the adjustment based on the CPI

If that does not address your question, feel free to send us an email Coordinator: We do have a question from (Tina Phillips) Ma’am, your line is open (Tina Phillips): Hi, good afternoon I’m, thank you I have a quick question in regards to s i p p, is it SIPP? Shelley Irving: Yes (Tina Phillips): Yes, thank you The – I was not able to see the webinar and the slides But does the data collected include the education of the members in the household? Shelley Irving: Yes (Tina Phillips): And the educational – does it include the educational facilities that they’re participating in? Shelley Irving: If they are enrolled during the reference year, we would have information, I think, about whether it was a public or private institution But we don’t really set anything beyond that And it’s only if they are enrolled during the year For just educational attainment, we don’t have any additional information (Tina Philips): That’s fine And you also give information about if a family member is of the school age or postgraduate, excuse me, higher education status, but they’re not participating, do you give that information as well? Shelley Irving: Are you saying just like, are you asking about educational attainment? We have for everybody in the household, we have what is their highest educational attainment? (Tina Phillips): Wonderful, oaky Thank you so much Coordinator: At this time, I have no further questions Deborah Rivera: Okay, thank you (Christy) This is Deborah Rivera again Once again we’d like to thank everybody for joining us and taking time out of their day to listen in on the webinar for income, poverty, and – Shelley Irving: Assets Deborah Rivera: – assets That’s what I was missing Thank you, Shelley So we’re just going to hang around a few more minutes before we conclude today’s session in case we do have some last minute questions coming in But in the meantime, I just wanted to let everybody know that once you log off from the WebEx session if you were able to join us, you were going to have a popup link and that is for an evaluation survey We would appreciate it if you could just take a few minutes out of your time to give us your feedback, any comments or if you have additional suggestions on other topics that you’d like to see us cover in the future, so yes, we’d appreciate it if you could take just a few minutes and fill that out Don’t forget to join us for the next webinar for the SIPP webinar series that I taking place on Thursday, June 20 It begins at 2:00 p.m. Eastern Time And that webinar will be on programs, adult well-being and food security So if there are no more questions, we’ll go ahead and conclude today’s session Thank you again Coordinator: Thank you This does conclude today’s conference Thank you all for participating You may disconnect at this time