HomeMy WebLinkAboutchat09:36:54 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : Cannot hear Vicki
09:37:48 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists : Is that better?
09:37:49 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : still cannot hear Vicki
09:38:33 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists : We will test again before we start presentation
09:38:54 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : I can hear you
09:38:59 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : yes
09:39:01 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : Carolyn
09:39:09 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : barely
09:39:09 From Barbara Morey to Hosts and panelists : yes
09:39:11 From Josh Peters, Jefferson Co. to Hosts and panelists : I can hear you clearly, Carolyn. Viki not so much.
09:39:12 From Peggy to Hosts and panelists : I can hear
09:39:15 From vince maniaci to HFB Special(Direct Message) : Yes
09:40:12 From vince maniaci to HFB Special(Direct Message) : Yes but little broken
09:41:45 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : yes
09:41:45 From Barbara Morey to Hosts and panelists : yes
09:41:47 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists : can you hear emily
09:41:47 From vince maniaci to HFB Special(Direct Message) : Yes
09:41:48 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : emily
09:41:49 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists : thank you all
09:55:58 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : It looks like under Race that we are only viewing information for that race?
09:57:34 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : thank you
10:00:18 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : Does Rapid Rehousing only include those that used rapid rehousing funds?
10:02:27 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists : Is each quarter unduplicated clients?
10:44:21 From HFB Special : Can everyone hear individuals in the room?
11:19:11 From Beulah She/her Dove House Advocacy Services to Hosts and panelists : no
09:35:37 I have the perfect camera angle. Okay, so I'll start recording. Okay. Thank you.
09:35:47 We're gonna go back. Yeah, alright. Good morning, everyone. I'll call this special meeting of the Housing Fund Board to order.
09:35:56 This is really this meeting is just to facilitate the presentation by Emily and our folks from Commerce.
09:36:02 So I will call this meeting to order and I will ask if there's anyone online or in the room that would like to make public comment.
09:36:10 We have 10Â min for public comments. So, you know, 2 or 3Â min, the, would probably allow anyone to talk.
09:36:16 Anyone online. You can hit raise hand. We're star 9 if you're on the phone or anyone in the room.
09:36:23 Alright, no one has raised their hand online. Okay, I will close public comment and I will pass it over to Viki or to get it. No one has raised their hand online.
09:36:36 Okay, I will close public comment and I will, pass it over to Vicki or Well, thanks for coming.
09:36:39 And you folks online as well. I'm very excited to have the department commerce office in our understanding.
09:36:49 No, Then, the numbers for some time, but, there's so many more, So, I, and, and, Connor's all the best for being helpful and I really appreciate he comes out there to be with
us in person.
09:37:15 Do with, some relationships that I think that's. Develop the system. Vicki, can you speak up a little more? I'll change it.
09:37:26 Sorry, Jerry, can't hear you and I just want to make sure that everyone online can hear you. And I just wanna make sure that everyone online can hear you.
09:37:35 Okay, I'm gonna help with the microphone as well. So I'd like to one of those.
09:37:36 Emily Burgess. She is the director of the data and performance unit. Of the Housing Division of the Department.
09:37:49 Those responsible for a lot of important information and she's got some of her routine that she'll introduce in a minute.
09:37:58 Also just wanna take a second to thank, Not only on that housing, she's a city council person.
09:38:14 And the You want to think about third term administration here at Fort Warden. That's fine.
09:38:25 We have to thank for these lovely facilities. And. Also wanna say that we're gonna have questions during the presentation.
09:38:33 But I think it would be really helpful when you ask a question. Introduce yourself and so I'm sorry.
09:38:44 I'm so sorry. I don't mean to interrupt, but, that we still have people that cannot hear online.
09:38:46 So at this time, can we do a TED test? Can you guys chat in the chat box?
09:38:52 If you can hear us. Okay.
09:38:57 So can you hear me where I'm at? This is Carolyn or, Vicki, go ahead and you speak.
09:39:03 Okay, can you say your name? . Can you hear Vicky
09:39:12 Barbara Mori said yes. Okay, I think maybe the further away, so maybe if you guys, when you speak, if you come, I think maybe the Must be over near me somewhere.
09:39:24 Is it that microphone or is it just the TV? No, it's just. Well, it might be using.
09:39:29 We plug view it instead of using all this. Beautiful. Okay. Okay.
09:39:42 Are you speaking?
09:39:59 Can you hear me? No one here.
09:40:05 Please.
09:40:12 Can you hear me?
09:40:22 Yeah.
09:40:32 What?
09:40:37 Okay. Right. Just
09:40:44 Okay. Is that the microphone? Is this?
09:41:00 Something.
09:41:04 Well, and maybe.
09:41:08 Okay.
09:41:13 Yeah, Yeah. Yeah.
09:41:24 Yeah, Okay, so, Okay, Thanks. Hi, this is Emily. Can you hear me?
09:41:41 Vicky.
09:41:44 Hello, this is Emily. Can you hear me? Yay! Okay.
09:41:50 Okay. Okay. Thank you. Do you want to do this?
09:42:00 Alright, go ahead. I'm gonna turn it over to Emily now. Then she's standing in front of the microphone.
09:42:11 Okay, and we're good. Everybody can hear. Okay. Hello everyone.
09:42:16 I'm Emily Burgess. I'm the managing director of the data and performance unit in the housing division, the Department of Commerce.
09:42:23 I have some staff with me. I want them to introduce themselves and then we'll get started. You wanna go? Yes.
09:42:30 Hello everyone. My name is Melissa Linden. I am the, coordinated entry performance specialist in the data.
09:42:37 And performance team at Department of Commerce in the housing division. And my name is Andrea Artiaga.
09:42:44 I'm the performance team manager and the data performance unit. With the Department of Commerce.
09:42:50 Okay. And I think we have more coming out.
09:42:54 There she is. Okay, so, let me go to my little agenda. Slide. So we're here to talk about the Washington State Homeless System Performance Measures.
09:43:06 We're going to cover how those connect to the HUD system performance measures. And we're going to talk about some new racial equity measures that are being incorporated into
the state performance measures.
09:43:21 And mainly focusing on all the different reports and resources that are available to you all. And if at any point.
09:43:30 And I'm hoping you'll have questions because that's what I was you know invited to you know answer a bunch of the questions because it's all very complicated and we can go into
the weeds wherever you want to go.
09:43:42 So questions about how things are calculated, who's included, who's excluded. We'll talk about how performance is measured and then also how we measure the actual homeless population.
09:43:55 That sounds good. Make sure that everybody can see the screen. Oh yeah. Okay.
09:44:07 So the first thing I wanted to start off with was the Washington State homeless system performance measures. Which are required of county homeless systems.
09:44:19 Via the consolidated homeless grant from the Department of Commerce. So these measures are performance requirements and the homeless system is required to make improvements
and housing outcomes until the system meets a statewide target.
09:44:37 So during COVID, these performance requirements were paused, so there wasn't any performance monitoring. There were no consequences.
09:44:48 We will be doing performance monitoring. Probably the summer or early fall. And basically will be just comparing your last state fiscal year performance data with this year's
year to date and see if you made progress.
09:45:05 That's kind of the basics. So we'll get into the weeds a bit. Hmm.
09:45:18 Okay, So I have a question. Oh good. My name is Vicky Santag. I'm a member of the what my question is.
09:45:32 Is the. Entries in the consolidated grant program only consolidated grant recipients. So we have many others besides, right, just the consolidated brand folks.
09:45:48 Right. That's a really good question. And that's yeah, let's talk about that next.
09:45:56 So the consolidated grant Como system performance requirements are associated with that contract, but when we measure homeless system performance, we look at your entire system,
regardless of the fund source.
09:46:07 So depending on the project type codes in HMAS, that's those are the projects that are brought in.
09:46:14 So it's not about the particular fund source. It's about the entire system and how it works.
09:46:22 So this, oh, this is really small for people in the room, but I'll email this out later.
09:46:28 The HOMO system performance requirements for Washington are organized by project type code. So we have different performance requirements for the different types of interventions
in your community.
09:46:42 So I know that you have emergency shelters here. You have rapid rehousing. I think transitional housing, okay.
09:46:51 So those are the ones we're going to be looking at. So for emergency shelters, we're looking for an increase in exits to permanent housing.
09:47:00 And the statewide target for shelters is 50%. So we're you're moving towards 50% of people exiting shelters to permanent housing.
09:47:12 That's great. That's a high performing shelter program. For transitional housing and rapid rehousing, we're looking for 80% exits to permanent housing.
09:47:23 And you don't have any permanent support of housing? We do. Oh, you do. Okay.
09:47:28 So permanent supportive housing, we look at a little bit differently. We look at exits to permanent housing and retention.
09:47:34 So for shelters, rapid rehousing and transitional, we're just looking at who are the people that exited during the reporting period and where did they go?
09:47:45 For permanent support of housing, we're looking at the people that exited and also the people who stayed because staying in permanent housing is a positive outcome as well.
09:47:56 So that's what we're looking for there. Could you, explain what rapid rehousing entails for folks?
09:48:05 Yeah, so rapid rehousing is a rent assistance program. It's a short to medium term.
09:48:13 Rental subsidy with services like housing search and services that are appropriate for whatever that person needs. But it's basically short to medium term rental assistance
usually.
09:48:26 6 months, 2. A year and a half or 2 years. The goal is that they then transition into, you know.
09:48:36 The apartment and pain the or the house or whatever and paying it on their own. So it's almost always with a private market.
09:48:44 Rental. So you're helping with moving costs and subsidizing the rent for a certain amount of time.
09:48:51 That's good. For any projects that are, there any, right now I think you address. Those.
09:49:04 All the performance measures are honey. Yeah. So if their type code is other, we don't have performance requirements.
09:49:13 And if it's You do. I looked. Yeah. Yeah, so the project type code is really critical to get right because it will include or exclude a program from our performance measures
from HUD measures, from lots of reports.
09:49:36 So we'll look at some reports and you'll probably see that a lot of things are missing and that's why it's because of the type of code.
09:49:44 So that can be you know, it could be a mistake. It could be type coded wrong and we can look at that.
09:49:53 Or not. We still do have data for you on your projects that are type coded other and I'll show you where to find that too.
09:50:01 Yeah, that's a good question. That comes up a lot. Yeah.
09:50:09 There any other questions? Okay. So let's see. So something new that was introduced this biennium is a requirement to not only look at the housing outcomes overall when people
exit programs but the housing outcomes disaggregated by race and ethnicity.
09:50:34 So this was introduced in House Bill 1277 of the 2,021 legislative session which required that commerce ensure equitable access and outcomes.
09:50:46 So we are implementing that by including a look at disaggregated outcomes when we do performance monitoring later this year.
09:50:57 So we'll look at like say, you know, for example, all the people that exited your shelter, what's the overall rate of exits to permanent housing?
09:51:08 And then we're gonna look by race and ethnicity to see if it's equitable. Yes, do you look at other?
09:51:15 Things like GLBTQ. Like, religious stuff like disabilities. We don't, not for this particular performance requirement, but I know that there's a lot of interest in that.
09:51:29 We have some, we do report on gender and household type and things that are available in HMS and I can show you that.
09:51:36 But like for example, reporting on the LGBTQ plus community is it's not an HMS data standard so we don't collect that about people consistently.
09:51:45 So there are some things that are missing for sure. Yeah. Okay. I'm curious do you look proportional for the region?
09:51:54 For a fairly homogeneous community. So is it, is the denominator whether it is the denominator, what the, you know, the racial data aggregation for the whole county.
09:52:07 How does that? Oh, we're gonna get into that. Really interesting. Yeah, yeah, we do look at your community.
09:52:14 So for the outcome part though, we're just looking at the people that exited the program, right?
09:52:21 Is it? Does everybody kind of getting the same experience? So that's something that will incorporate.
09:52:26 So I'm gonna hope this will hopefully open easily. Oh, yeah, okay. So. Go to this dashboard.
09:52:37 And that's not what showing.
09:52:41 Let me re-share my screen.
09:52:53 Okay. Okay, so this is the dashboard that we provide. Where you can monitor. Your progress with the housing outcomes and the.
09:53:10 Performance measures in your community.
09:53:13 So let me filter this to last year and we can actually look at your community. And see what's on here.
09:53:27 Are you all familiar with this dashboard? We have lots of fun dashboard. How are you? Okay.
09:53:42 This is kind of a weird view because my screen is so small.
09:53:48 But I filtered it to Jefferson County. And here you are emergency shelter data. Year to date.
09:53:58 Wait, this is 2,023.
09:54:04 So here are the outcomes for your emergency shelters in the last fiscal year. So overall it was 12% of clients exiting.
09:54:13 The permanent housing from shelter. That you can see there's a really this is quarterly so there's a lot of variation.
09:54:21 So that's interesting. Yeah, we do. That means, for the portion, that's fault.
09:54:31 Okay. Yeah. First I want to remind everybody to introduce themselves when they're asking the question.
09:54:42 And this, people online and hear people, they're waiting. The question. Okay. Also, this indicated 141, I believe.
09:54:57 People for the year. Yeah. And so again, is this the number of people in the consolidated grant?
09:55:08 Or is it the number overall that are entered into the HMIS system? These are the people who are entered into HMAS.
09:55:20 Emergency shelter programs. Okay. And let's see what else we got here.
09:55:26 We don't have anything for transitional. For that year. But here we have your rapid rehousing data.
09:55:35 So in last state fiscal year, there were people exiting from emergency shelter and rapid rehousing and remembering that the If it's the project type code other, it's not on
here at all.
09:55:48 So that's probably where you're seeing a lot of missing people.
09:55:53 Oh, well, okay. Well, we should look at that.
09:55:59 It's been challenging and
09:56:02 Let the barriers are? Well, my unit oversees HMS. So if you're having issues with communicating with the team.
09:56:13 Okay. Yes, to grapple with all the things that we're Okay. And it looks like Dub House made a comment.
09:56:31 Yeah, so can somebody be reading that chat?
09:56:36 And further away once. Cheryl Weinstein that, It is. It looks under, it looks like I can't read that.
09:56:53 So yes, we've included the, disaggregation by race and ethnicity on this report.
09:57:00 So I do have it filtered to American Indian and Alaska Native. But when you look at this.
09:57:06 Dashboard, let me go to the rapid rehousing. The blue bar is your overall exits.
09:57:14 From rapid rehousing. So in state fiscal year 2375% of the clients exited to permanent housing from rapid rehousing, which is great.
09:57:24 I have it filtered to American, Indian, Alaska Native. And that's the yellow and that's where you can look through by selecting the different demographics.
09:57:34 What is the rate of exits to permanent housing for that specific demographic? So. This does show a pretty significant disparity in outcomes for people who are American Indian
or Alaskan native.
09:57:49 So that's how you're gonna use this dashboard. So you're gonna be looking through looking at the different demographics and seeing it should the bars want to be pretty close,
right?
09:58:01 Oh. How is it? So it means that of the total number of people in that. Really, 33% of the people on that group or it means 33% of the people who are moved on.
09:58:22 Of all the people that exited.
09:58:24 75%. Exited to permanent housing. The demographics. So you're just
09:58:37 But that's a whole different part of the presentation. Yeah, so but the 33% here is of all the American and the Alaskan native people who exited.
09:58:55 So that's how you're gonna look at this dashboard and we have it quarterly. So I mean overall as far as like meeting your performance measures for rapid rehousing, you're doing
really well, but you would wanna start tracking and checking on the demographics to see.
09:59:10 If there are disparities going on. And when you have a small client universe. Like a hundred 41 people in a year.
09:59:21 One person can make a big difference or one household could make a big difference. So that's something to look at too.
09:59:31 And that's something that we look at when we're doing performance monitoring, like, you know, We're going to look at data quality.
09:59:38 We're gonna look at the size of the client universe and if household having a negative outcome. Could impact the whole measure.
09:59:48 That's not gonna put you into a compliance issue. Cause that's an outlier situation. It just is what it is.
09:59:55 So. We're looking for more of the bigger picture trends.
10:00:01 Don't have any other questions about this. Before we move on. It's clear. I just want to be sure that the majority of this.
10:00:12 Sorry. We'll get what everybody has to see, but it's a majority especially in fun.
10:00:20 It was. So that, yeah. On this dashboard, you can also filter by the agency. If you want to see.
10:00:29 Just by the agency. I'm not gonna do that right now, but. So you could click on Jefferson County.
10:00:36 And then look at. The outcomes by each agency participating. So I would comment also that the 2024 data shows a significant increase.
10:00:51 In the number of entrants.
10:00:58 Let's see. Okay.
10:01:08 We only have a couple of quarters, so. And that could be, that's how I'm gonna do it.
10:01:17 I don't need this.
10:01:21 So if you ever are looking through this and have questions like this, you can reach out to my team anytime.
10:01:27 That's what our jobs are. So.
10:01:30 Don't stress out about trying to. Figure it out yourselves, we're really there for that kind of support.
10:01:37 But yeah, there are a lot of variables.
10:01:41 Yes. So. It is all HMAS, but, how do you explain?
10:01:50 It's called the entrance. So is it the people coming just into the system for that year or is it all people in the system?
10:02:00 So like when we see these quarters. We see, you know, like, 24. You know, very numbers.
10:02:10 Those are so. The question is, is how do you count? How do you know all of the people in those system?
10:02:20 But what the number is for all. And the system. Yeah. So this dashboard is looking at the people exiting.
10:02:28 So we can, I think that's the next part. No questions in the chat.
10:02:39 Okay. Let me get back to the presentation.
10:02:48 Okay.
10:02:53 Oops. What an ideal.
10:03:02 Sorry. Hmm.
10:03:12 What am I doing wrong? Hmm. No, thank you. Okay.
10:03:34 Sorry. Okay. I could get back to where I was.
10:03:40 Okay, so we talked about the state almost system measures, almost performance measures.
10:03:48 So I think that the question that you are asking about when you are looking at the whole system, like we were looking at exits and when you're looking at the whole system you
want to go to the county report card visualization, which will.
10:04:03 Check out. So in the handout that you provided had some data that was from the county report card visualization.
10:04:14 And those include some of HUD system performance measures. So little bit different from. The Washington state requirements.
10:04:23 So head has 7 performance measures and they're really looking at the entire COC. So for Jefferson County that's the balance of state.
10:04:35 But on the county report card, we provide. But length of time homeless exits to permanent housing system wide and returns to homelessness just as had measures it for your county.
10:04:50 So our the performance requirements that you have contractually are kind of like components of HUDs performance measures.
10:05:01 They feed in to HADS performance measures, which we report. Too had for Washington. So it's all it's different, but it's connected.
10:05:10 So I'm going to open this visualization. And we can look at that. So they have to reshare.
10:05:19 I'll do better this time
10:05:25 Okay.
10:05:28 So this is the county report card.
10:05:35 And this is where you're gonna find that information.
10:05:39 That you provided in the handout. About some of the bigger picture. You know, system entries.
10:05:49 Length of time homeless. System wide throughout your entire almost response system. So this is state fiscal year 23.
10:06:01 Actually, I think it needs to be updated. This might be a little bit old. But I did provide some new data on the handout.
10:06:10 Before I came. So can you hear me that? Let's say business. Oh, you get since the windy ones.
10:06:18 Yeah.
10:06:19 So in this we're looking at. So you have the system prioritization requirement. Okay. That's actually not a requirement anymore.
10:06:31 So we won't be reporting on it or tracking on it going forward. But you have the exits to permanent housing system wide.
10:06:41 And right now. Actually for the last fiscal year was down to 33%. And that could. Probably does connect again with what projects are being.
10:06:56 Included. Or not. And if there is a significant amount of people. In projects that are type coded other, they're not being captured in this either.
10:07:07 Your length of time homeless is 383 days for last year so that's going Down.
10:07:17 Pretty significantly since 2,019 so that's great. And your returns to homelessness for state fiscal year 23 was 1.3 3% which is phenomenal.
10:07:32 That seems like that hardest metric to measure. It's super complicated. County, you're, in the HMI estimates.
10:07:45 Like, is there a variance that you would have transcribed to it? I mean, how? You talk a little about how you measure that.
10:07:54 Yeah, so returns to homelessness is It is a really interesting one. So you first start looking at 2 years ago.
10:08:04 A group of people exited to permanent housing. And then we look through the system in the future and.
10:08:12 We are. Seeing did they enter again. So you're going way back in time. To a group that had to exit to permanent housing.
10:08:24 So if they didn't exit, we're not even looking because they had to be housed this to then return to homelessness, right?
10:08:32 So in a 2 years since they had to be housed to then return to homelessness, right? So in the 2 years since they exited, we're looking for did they reenter an emergency shelter?
10:08:38 Did they re-enter rapid rehousing or any project that would indicate that they were homeless again.
10:08:45 And that's how that's calculated. So, so it doesn't count people who just go into homelessness.
10:08:52 What do you mean? Well, they didn't go to a shelter. They didn't go to anywhere.
10:08:57 They just went to the woods. Yeah, so in this county, I think that statistics meaning this. Oh, okay.
10:09:04 Well, I mean, that is the thing about HMS data, right? Like if it's not in the data system.
10:09:11 I can't measure it. So there is always missing data. And there's always something. You know, that we just we just aren't gonna be able to capture.
10:09:25 I think Geneva will become normal bus. Because it's a, that house, you're not, on data because they don't, that's a good point.
10:09:41 Thanks for bringing that up. That's another part that's really important for calculating returns to homelessness is that there's enough identifiers.
10:09:49 For that person that I can match it. So if their consent refused. Or just very little data is entered, then I can't match to a more recent record.
10:10:01 So. Yeah, because I wouldn't be able to tell. Who they were. You know what I mean?
10:10:11 I have to match the group from 2 years ago over time for 2 years. So something worth. It's something we're talking about too as we share data.
10:10:22 You know, we have a day sharing agreement now, only, to get referrals from, from the side.
10:10:29 And, we've just been talking internally about even when we receive referrals, but especially from that house who are all going to be present.
10:10:40 Can they come over with any JS number? So that at least we know we're not.
10:10:47 Otherwise we're going to immediately create an, I guess, and so we're talking about are there ways for us to just kind of shore up our internal systems so that we're communicating
at least when we know there's zones so that we're communicating at least when you know there's.
10:11:08 Yeah. Just the fact that she knows I'll have, we've come along with. Yeah, I'm very nice.
10:11:12 Started this portion. New job January. That's awesome. Thank you.
10:11:18 And that's a great strategy. To share HMS ID numbers for people who are coming from TV programs.
10:11:24 That's what we would recommend for sure.
10:11:27 Yes. I just want to point out the significance here. And so we're looking at 2022.
10:11:35 2023 actually. No, 2022, yes. And, with 86 entries, which is less than half of the total number of beds.
10:11:47 As we count them in the system. Which includes the other category. So what we're looking at is kind of a subpopulation within the overall people in the shelter system.
10:12:03 That is more geared towards, I guess it would include rapidly, now seeing an emergency shelter. So we're not seeing.
10:12:14 A significant part of the population in these numbers. Right. So.
10:12:21 The question is, is that when we start using some of these numbers for planning? How do we kind of qualify it?
10:12:32 And I'll leave that to answer for later, but I just think that it's important thing to keep in mind when we're looking yeah, absolutely.
10:12:41 And let me. I'll show you where you can get the data for your all of your programs.
10:12:49 It's not going to be as easy because these visualizations are built on project type code, but it's available.
10:12:58 Were there any other questions about this before I move on?
10:13:02 We're gonna be overhauling the this is our oldest visualization. We're gonna be overhauling it so we'll be asking for your feedback.
10:13:10 Probably the summer. And this is the kind of feedback that would be good. Like you should include other type codes in here so we can see our data, you know, we can do that.
10:13:21 There is one other question I'd like to ask now. We've been debating for quite a while about having what I would term a waiting list.
10:13:32 Uhhuh. So people who contact the service agencies through the housing agencies. Entered into the HMI system, but they may not receive services.
10:13:45 Okay. So. Essentially they kind of constitute a kind of waiting list. Yeah.
10:13:53 And is it possible? To have that at the system level. Previously, we asked our service providers to kind of tell us what that waiting list is because it gives us some measure
of what the demand is.
10:14:12 That we're not meeting. So can't see it right now. I mean, that would be one.
10:14:18 Did that. That is something that we are trying to do better. Is it an HMI? Yeah.
10:14:39 We're not really a part of that yet. Or our wait list because we don't inter our way list.
10:14:55 And anyone who's getting entered in the coordinate entry, at any other program. Yeah, there it is.
10:15:04 It's already there. It's in your coordinated entry setup. We don't report on coordinated entry.
10:15:12 Statewide because it's very different from community to community and we don't have standards for it so everybody every community kind of designs it their own way.
10:15:24 But I don't know who has looker accounts in Jefferson County. Okay. All right.
10:15:32 But yeah, there's your analyst, sorry. So depending on the vulnerability.
10:15:43 That's what we're done with. Coming in. Right. Yeah, I understand that.
10:15:52 And so to be, I, for the data for 2023 if there was a.
10:16:02 Weightless number that that was a hard thing to back out I guess. So. Would be useful to have that.
10:16:10 We do have a number. We can't get you names or anything. Because if you just say wait list It might be.
10:16:29 We're talking the same number.
10:16:33 Cool. So it's available. Just need to. Get a better reporting process and we can help with that too.
10:16:41 We have a whole team that's there to help our local looker analysts. Help run with reports.
10:16:48 So. I can help with that. Okay, so. The next thing I want to show you all is the annual county expenditure report, which we call the golden.
10:17:00 Is anybody familiar with this? Okay, so this is where you're gonna be able to find the data on every program in your community.
10:17:11 Regardless of the type code. Yes. Of course, they're entering data into HMS, right?
10:17:19 So. Let me open that.
10:17:25 Share this screen again. Okay. There we go. Okay.
10:17:35 So this is. Wow, this is a gigantic spreadsheet. With a million columns. This is the annual report.
10:17:51 Okay, Kathy and Joyce doing this every year. So. Your county. And then we have the list of all of the programs.
10:18:08 In your community. Here are the type codes. So you can see here are your others. You do have a lot of others.
10:18:20 And if you. Go through. This spreadsheet.
10:18:29 Look away, you're gonna get safe. Okay. It has everything you could. Want to know about this program.
10:18:39 So like. How many households were exited? What type of household were they? Veterans exited the transerved people served what type of household?
10:18:52 Just like the race and ethnicity, the gender. Exits, length of service. It just goes on and on.
10:19:02 So when you're doing the sort of planning you're looking for that includes the whole system with the other project type codes.
10:19:12 This is the raw data that you could use to actually do the analysis you're looking for. I actually appreciate that because, we have not been able to get.
10:19:25 S. Has to do to the only one. We don't always get the data from another agencies because they don't Let's say, for instance, that process and won't give us any other data, then
none of that data is included.
10:19:45 Right. Well, I think we need to do a better job of helping communities improve the data quality of this report.
10:19:55 So. Just a little bit of more information that. This report includes the expenditures. I'm gonna go back really fast to the yellow.
10:20:05 So it has We collect information about the expenditures of every program, the type of funds that they were using, and then we mush it all together with all of their HMAS data
and that's where all this is coming from.
10:20:21 So a lot of the measures. Also include cost per successful exits, cost per household. So it's all combined.
10:20:30 But yeah, getting the actual expenditure data. You know, Kathy's taking the lead to reach out and collect the data, but if community programs don't understand why it's important
or what it's used for.
10:20:46 Then we get, you know. Or data quality on the report overall, which is the case with any data system or report.
10:20:54 So. So it's good. They report to you and you report to. So it's not a direct input from the agencies.
10:21:13 Yeah, I have to select all of their data depending on, and they don't filter out through agency. Yeah, I have to select all of their data depending on, and they don't, filter
out through agency.
10:21:24 You know, to, the, the, so it's supposed to be a sanction and everything in Jefferson.
10:21:33 Not just us. Yeah, especially the Yeah, they have somebody has to collect the expenses or the expenditures from every program.
10:21:50 We don't have a way to collect it other way. We have to get it from you all.
10:21:55 The HMS data, we have all that. We don't, they, nobody needs to do any reports on HMS for this.
10:22:00 But it is hard to get the expenditures. Especially if there's no. Like contractual mechanism or.
10:22:07 Maybe even a real relationship. They're just like. Why are you asking me to do more work?
10:22:15 What's going on? So I noted between 22 and 23 there was about a doubling of the numbers that's one of the first columns.
10:22:24 With regard to how many folks So it's this total project beds. Okay. So this is again, accounts beds here or people.
10:22:38 This is beds. So, but you'll find people on this report. You'll find everything on this report.
10:22:46 Yeah. So how do you can see how many people, Let's see. So this is over the course of the year.
10:22:58 The report that you just asked. Or that's those people. Okay, okay, okay, I'm, I'm.
10:23:11 This is published annually and we just published this one for state fiscal year 23 It's quite a lag.
10:23:16 I mean, we try to publish it in December before legislative session and But it's what I'm saying is that you know, they did a great job of reaching out and teaching us this
year why this information support, to work with our accountant to provide all the nation. It was great.
10:23:38 Cool. But I don't see those numbers reflected here. It's just showing 8 shelter beds.
10:23:46 They side. I can see that. Okay. Oh, okay. So there's on this.
10:24:02 It's still in the summer. I think we've hopefully even got more active. Yeah. As I said, I amm so happy you're here.
10:24:21 The light off goes off and on everybody's plan because I've been working for so long, but they don't even say what I'm saying.
10:24:25 So, I've been working for so long, but they don't even say what I'm saying. Everybody's plan because I've been working for so long, but they don't even say what I'm saying.
10:24:28 So
10:24:28 One last quick question is if people are in 2 different programs, are they counted twice? On this, they would be depending on the report of the measure, it could be duplicated,
but.
10:24:43 Yeah, cause we would want to capture their experience throughout, you know. The continuum.
10:24:54 So that's a fun report. How did people access that one? It's on our, strategic plan.
10:25:06 It's on the commerce web page and I'll send out, this PowerPoint with all the links and stuff.
10:25:12 Yeah. All of this is all public data.
10:25:16 They need other questions about that particular one before I move on.
10:25:23 Real quick, even report to August. Good for the rest of the year or the It is the same.
10:25:32 It's June to July.
10:25:36 Yeah, it's the state fiscal year, June to July. Yeah. Yeah. Yeah, most of it is.
10:25:49 Okay. Yeah, the county is also, Getting a lot of the money is being spent out. Because we don't know where all those anymore so.
10:26:08 Oh, before I move on from this report, so you can also get returns from homelessness.
10:26:17 For each program on the golden, which is pretty cool. So.
10:26:27 Okay, so now we're gonna talk about. How we measure the homeless population. And these new equitable access performance measures that are going to affect this contract period.
10:26:42 So like I said earlier, this concept of a requirement to ensure equitable access to the system was introduced in 22,021 legislative session.
10:26:57 And the basic idea is that the race and ethnicity of households entering the FOMO system.
10:27:06 Should be proportionate to the homeless population. And the demographics of the homeless population. And that has been.
10:27:16 Not something that we had been able to measure before because we didn't have accurate data about what the homeless population.
10:27:26 Was how many or looked like anything. So we have a report called the snapshot of homelessness report.
10:27:34 That we it is the most comprehensive estimate of the homeless and unstable house population in the state.
10:27:44 It is, it was designed to supplement the point in time count. The point in time count is important and it's also Highly variable, the methodology changes from community to community.
10:27:59 So it's really hard to compare. You know, communities have a lot of flexibility in how they do the point in time count.
10:28:09 So it's just not something that I rely on for a statewide count for comparing communities. So we have this report.
10:28:18 It's really not new, but I'm like trying to get people excited about it because it's actually really a cool report.
10:28:25 And what we do with this is this is, oops. We used matched administrative data from 3 different state data systems.
10:28:36 So we're looking at provider one data, which is Medicaid data from the healthcare authority. We're looking at ACEs data, which is.
10:28:47 You know, DSHS economic services data so people who are accessing food benefits, TANF, all the different benefits offered by DSHS.
10:28:57 And then HMAS data. So we integrate all of this. All of these people from these different data systems into an integrated client database and this is how we can actually get
a better estimate of the homeless population, which is measured the same way community to community.
10:29:18 So I have a lot of detailed information about how people are included. Some of that is on this slide and also provide a link to the document if you want to dig into it.
10:29:33 But basically it's again, for the HMIS portion. It's about those project type codes.
10:29:42 So again, there's probably a lot of missing data, but the majority of the data comes from ACEs, which is, you know, like the DSHS benefits.
10:29:53 So if people are flagged in those data systems, we look at all these different flags because all the data systems are different and estimate, you know, like, okay, looking at
this record, yes, this person is probably experiencing homelessness.
10:30:11 So it's definitely not a for sure thing. It's our best guess looking at the match data from all 3 systems.
10:30:17 So this is. Incredibly cool. No other state has it. We're very lucky.
10:30:26 So. Something that we added recently that I'm really excited about. It's we added race and ethnicity to the snapshot.
10:30:37 So we've been actually public publishing the snapshot report for years. But it didn't include the race and ethnicity disaggregation.
10:30:49 So that's what we have now. So we'll actually open the report and look at it for your community.
10:30:55 But it's really important because you can see from this slide There are significant disparities in homeless systems overall.
10:31:05 We know this from national research that is shown. You know, black, indigenous people of color are disproportionately represented in homeless populations.
10:31:15 The national research that we We're looking at several years ago is when we decided, okay, we need to add this to our report and start looking at it for Washington.
10:31:25 And you know, just the trends hold for Washington too. So now we have this information for your community.
10:31:33 So you can look at. Who's accessing your system and Do they look like the service population?
10:31:41 So that's what we'll go into. It should match the green is what you're seeing.
10:31:50 Well, you would, that's what you would think, right? Like that's kind of in a perfect world, you would expect that the homeless population looked like the population of the
community.
10:32:06 Right. But that's not the case. And it's not the case in Washington. And I haven't seen a community where it's the case in the community yet.
10:32:14 So that's what we're, we're starting to. Dive into.
10:32:22 And I think I don't. Understand how Okay. Is this basically saying if you were to put all these people together that would be the whole population so all of these bars No.
10:32:43 Thank you. Sorry. I clicked on something and use your back, but.
10:32:51 Hey.
10:32:58 Okay, there we go. Okay. Let me explain this before we move on. Okay, so the green bar is your Is your general this and this is Washington state that we're looking at so the
green bar is your general demographics from census data.
10:33:19 You know, the yellow bar is the homeless population. So if you just look at black or African American people, 6% of people in Washington or black or African American.
10:33:32 18% of the homeless population is black. That is a significant disparity. The blue is the census population in poverty.
10:33:43 So the the national research that sort of kicked this whole concept off was You're kind of operating under the assumption that the homeless population should look like the community
would look like the community, right?
10:34:00 And if not that, it would definitely look like the community in poverty. But that's not the case.
10:34:06 So that's how we know there are significant racial disparities in homeless systems throughout the country and in Washington.
10:34:13 So could that indicate, for example, that people who are looking for housing or not receiving those same kind of.
10:34:22 Access or, yeah, and so therefore they're showing that in a greater proportion than the So they're not accessing from services.
10:34:37 So they're not getting any. Well, that's just next. I'll do more hours to those communities to let them be aware of what services.
10:34:48 Are available within the So there is more so that's part of it. So and we'll go to that next but this is just the homeless population.
10:34:57 So this isn't on the snapshot, it's not really, it's bigger than HMIS, right?
10:35:04 So it does include people who are not accessing programs. So we're looking at like structural racism as a cause of homelessness.
10:35:15 And We can see that now in Washington and every community. And then the next thing we'll look at is the access part.
10:35:25 Because we can compare those now. Now we have the actual information about what the homeless population looks like and the actual number.
10:35:34 And then you can start comparing it to who's accessing the system, which is a whole different thing, which is.
10:35:40 Next on the agenda. Can you just fill this web? How is it that we're seeing?
10:35:48 You were people reported in
10:35:55 So you're saying that the people the homeless condition aren't considered in the poverty. The green and the blue bars are just purely census data.
10:36:10 The yellow bar is the snapshot report. The yellow bar is the snapshot report.
10:36:16 So they are.
10:36:17 If you look at it like. Could be right. You're kind of looking at different circles like here's your community.
10:36:29 Here's your community in poverty. Here's your homeless population and then you can look at who's accessing the homeless system.
10:36:36 That's kind of what we're looking at who's accessing the homeless system. That's kind of what we're looking at. Is to see.
10:36:40 Yeah. Yeah. But it's been racial demographic.
10:36:56 See, like, for example, at the top there, I can't read it, but, where we have so much more yellow than we have.
10:37:03 Because 2% are impoverished, but 13% of indigenous people are homeless. And not impoverished.
10:37:15 Yeah, and they're 2 different. And 2 different reports too. So there's 2 different data sources.
10:37:26 But can we also say that like the Asian thing is possibly because a lot of the Asian thing is possibly because a lot of the impoverished people are housing their relatives.
People are housing their relatives.
10:37:34 So less of the impoverished people are housing their relatives. So less of them are homes. There's lots of variables and cultural things and lots You know, need's gonna have
to use this but one takeaway is that the utilization of Yeah, so, experience like for example, Okay.
10:38:00 There's not that much. Yes. You're right, because like we were talking about earlier, if something's not in HMAS, I can't report on it.
10:38:14 So to be measured by the snapshot report, you have to have interacted with. Healthcare authority, homeless system or DSHS.
10:38:25 So if someone is not interacting with those states systems, which Yeah, that's very likely. So there's definitely missing data.
10:38:34 Yeah, you've been talking about this. Okay. Yes. Yeah.
10:38:54 Well, we have the boating and the blue looking at. The nation's population and the Well, Washington, yeah.
10:39:05 Right? The groups. Okay, right.
10:39:14 Well, they are way the same. I mean, it's different data sources. Alaska, Indians, or near, It's for 2%.
10:39:32 Of the people experiencing homelessness and in our unstable housing in Washington, 13% or American Indian Alaska.
10:39:44 Blue are the entire state population. Right. 2% of the entire population. Yeah, census data.
10:39:53 Well, they're different. You're measuring different things. Yeah, to compare them.
10:40:00 Good question. But I've heard allegations. Not even in Jefferson Kai, but in other areas of the state.
10:40:07 But I've heard allegations not not even in defensive guide, but in other areas of the state, the coordinated entry outputs are.
10:40:08 Are racially, equal, you know, like one. From this black might be on the list for twice as long as someone's on the white line.
10:40:18 To track that kind of the output through coordinated entry based on racial Cause the eyes, well, they're not gonna get there.
10:40:30 Okay. So for coordinated entry data, we don't report on it statewide entry data, we don't report on it statewide because it's not consistent statewide, but we do not report
on it statewide because it's not consistent statewide.
10:40:39 But we do know just from looking at entries and then placements that black, indigenous people of color are more likely to be referred to a temporary housing intervention than
a permanent housing intervention.
10:40:51 That we've seen. We, there aren't performance measures specifically about that, but that's something that we're looking at.
10:41:00 So this is all looking at this is new in Washington. So we're starting, looking at the housing outcomes like we talked about before and then the access to the homeless system,
which we're looking at right now.
10:41:16 So, but that's going even deeper. Looking at, you know, who's getting referred where.
10:41:22 How, you know, the tools that are informing that. Are those equitable? Are they problematic? Autumn brought up the VI, which was a tool that was used nationwide that was found
to be in equitable.
10:41:38 So. Yeah, there is a lot to look at and all of those things will impact. This data and how your system works and like outreach like Kathy said there's just so much you could.
10:41:48 Dive into.
10:41:52 Sort of separation
10:41:57 And race in the city so we have the step back. Yeah, you know, further to. Yeah, it's on the population.
10:42:08 Such and equitable resources over generation. Therefore has higher rates of mental health issues. Higher rates of incarceration, higher rates of criminal activity. Right.
10:42:22 All of that. Those are yours housing those naked. Almost impossible or a housing provider to accept, that's then reflects the data and becomes a circular process.
10:42:41 How we're handling that criminal activity and mental health. Yeah, and then look at what kind of Yeah, we don't have any.
10:42:54 Like, yeah, we don't have any substance use house. We don't really have. Into house.
10:43:02 Passing into to, you know, to any real, that's been a conversation. Yeah, good.
10:43:03 Yeah, I mean you're exactly right. So what you're saying is how structural racism.
10:43:11 So something that we've looked at with communities before is like your prioritization tool. Does it include factors that would screen people out?
10:43:21 Based on those the kind of things that you're talking about. Or the programs low barrier is there enough variety of programs to meet every exactly what you're talking about
there are enough variety of programs to meet every exactly what you're talking about.
10:43:38 Because what we have right now, is not really mobile, very you know, we may have Right now, like for my agency, we're really looking at, can we really consider ourselves low
values when we don't have the resources to.
10:43:57 To house. Oh, we, use active substance use behaviors. We're It is really hard.
10:44:13 For me, 43 of the lowest. Barrier both. That's, and I know, but it's working.
10:44:24 Okay, we've had a few people that didn't work for very small percentage. It's actually working and investment.
10:44:31 We're, we're using it as well. So, but you're right about, the, the capacity, to help the needs of the lot of the folks.
10:44:45 So, but you're right about not having the capacity, to help the needs, but you're right about, the capacity, to help the needs of a lot of the folks.
10:44:48 We are doing all the area processing, to help the needs of a lot of the folks, are, are, doing all their way across because we're not going to help the needs that a lot of the
folks.
10:44:50 We are doing all they're passing because we're not going to talk about. You know, that we don't have anywhere to put someone who is not.
10:44:54 We have very few options. Yeah, we're hearing a lot of, similar. From providers throughout the state, including the really large permanent support of housing providers that,
you know, they're struggling to.
10:45:06 In situations where they don't have the staff capacity to deal with. You know, the problems of then we also don't provide operations dollars and those are the programs that
will need the most.
10:45:21 For sure. Yeah So on this now, aside, we are gonna be developing the state homeless plan.
10:45:42 Now, so these are the kinds of things when we come out to you, which we will be doing soon to get your feedback on like.
10:45:49 The what should be a part of the homeless plan for the next 5 years. These are the kinds of things.
10:45:55 Yeah. Totally. Okay.
10:46:00 Okay, so I'm gonna go to another dashboard and we'll look at. The system access.
10:46:10 You know what? We didn't even look at your actual snapshot report. And after that, I'm wondering if we can take a little break.
10:46:19 Should we just take a break right now? Might be a good idea. Okay. Let's do that.
10:59:08 Okay, let's see.
10:59:12 Okay, so we've been talking about the snapshot report. And the actual service population.
10:59:21 Washington. So we're going to look at the reports so we can look at your communities. Almost an unstably house population.
10:59:29 So. Okay, perfect. So this report is published twice a year. It's published in January and in July and we're looking at the homeless and unstably house population in that entire
month of January or July.
10:59:47 This is the estimate that was used for the projections. For the house bill, 1220. I forget the acronym.
11:00:00 Yes. So this was data that contributed to those projections. So this is a long report. It gives lots of different tables.
11:00:12 We've been talking about the disparities and rates of race and ethnicity. So we're going to look at that table.
11:00:19 So you can see in Washington. This is. Which one? Scared.
11:00:33 Oh, control plus. Okay. That is the one. Okay.
11:00:44 Just alone. Thank you. Okay. So let's look at, so we have this data for every county.
11:00:51 So let's look at your company.
11:00:58 There we go. So there's the demographics of your. Almost an unstably house population.
11:01:08 So when you start looking at who's accessing. The homeless service system. Will be comparing that to the demographics of the homeless.
11:01:19 Population is reported here. So I don't have the census data for Jefferson County off the top of my head.
11:01:29 But I would probably assume that you're American Indian, Alaska Native population isn't 11%.
11:01:38 That's probably a bit lower. So there's probably a disparity there. No, we have big tribes in Jefferson, yeah, on the west coast, right?
11:01:50 They're not in Jefferson, Canada. Yeah. So that would be something to look at. You could look at your census data.
11:01:56 And we're actually preparing a new report that will line it all up for you. This is not something we've published yet.
11:02:03 But when you're looking at who's coming in to your programs and into your systems, you want to kind of go back to this and say.
11:02:11 Are the people coming into the system? Like the service population. This these are the demographics of your service population.
11:02:19 So that's what we're looking at when we're talking about equitable access performance measures will be comparing.
11:02:28 System entries to the homeless population. We are building a new dashboard that will compare that. It's just not published yet.
11:02:35 It will be published in. You know, a couple days or next week. That will have that available for you and it'll be, you know, you can filter it and you explore it.
11:02:47 This isn't a performance requirement that's like. So. You would go into any sort of compliance action with during this contract period, but it's something that we're trying
to educate people about and improve data literacy and just get people looking at this report.
11:03:04 And understanding what the service population actually is in their community. So. I hope that if you have any questions about this or want to dig into how people are flagged
here or counted you reach out to us if you have any questions because this is really important and it impacts your.
11:03:25 You know, housing projections for your planning purposes. So If anything comes up at all that you want to discuss, you can reach out to us for sure.
11:03:34 You have any questions? Yeah, so, I. If I remember correctly looking at the population demographics for cost burden is that one in the categories that's pretty huge in Jefferson
are people who identify as More than one rice.
11:04:00 Oh, that's a good question. I see that in this category. The other thing is going to numbers.
11:04:10 Where did we see the number for How many people were so at this time they're saying 481 people are part of the homeless population from the snapshot.
11:04:22 Yeah, so there are lots of different tables on this report. I was first showing you the percentages just because that's important for comparing demographics.
11:04:31 But we also have the actual accounts. For your county. So we have 481 and this is people experiencing homelessness.
11:04:41 And people who are unstably housed. So, but there are different tables in the report where you can look at homeless only.
11:04:49 I would point out that this is 481 is a draw from what was used in the hat, yeah, which was at around 760, I believe, or some.
11:05:02 So another part of this report you'll see anywhere where it says less than 11, we apply data suppression rules so that nobody is identified through the data.
11:05:14 But yeah, there are lots of different tables you can look at. Yes, this is the data that was used for those projections.
11:05:23 And I believe it was 2,019 data. So we were also using the length of time homeless.
11:05:32 To calculate those projections from 2,019 and you have significant changes since then. So that work is actually done in our local government division.
11:05:44 So if I think as a next step we can connect with them. Ask for refreshed projections.
11:05:52 Ask for them to come provide a more in the ways presentation if you all are interested. So, yeah, planners, I would like to make a request that we put in a letter requesting
such.
11:06:06 Updates on, It is progression to see that. Because we've been putting 1,000 on ground and we have other agencies now.
11:06:27 And we have other agencies now in the community. You know, I mean, you look at our small numbers it doesn't really show but when you put it out together and you have other agencies
now, within the community, you know, I mean, you look at our small numbers, it doesn't really show, but
11:06:45 There was a whole pandemic. Yeah. Yeah. So, you know.
11:06:50 I can help with that to reach out. And Yeah. I think those were all, well let me show you one more thing.
11:07:00 And of course we're gonna send links to all this fun stuff.
11:07:06 And. So this is our Tableau Public page where you find all the vision. Oh. Okay.
11:07:22 Thank you. So this is our tableau public page where we publish all of our visualization. So I showed you a couple.
11:07:32 We looked at the performance tracker for the housing outcomes. We looked at the county report card. We talked.
11:07:42 We touched on data quality a couple times. We also have a data quality dashboard. So that's something to look at because your data quality impacts everything that we're talking
about.
11:07:54 So having an effort around monitoring data quality would. Just, you know, get you closer and closer to reality.
11:08:06 As far as your data is the best.
11:08:14 I usually don't encourage that kind of. So the darker the orange, the better the orange, the better the data quality or is it?
11:08:27 Wait, well, no, no, that's an error. Data error. The lighter is the better.
11:08:34 The lawyers the best because those counties have like 5 people. Yeah. You guys have to understand that we have many people in the system now.
11:08:46 It takes a while. It's okay. Yeah. So we have a 67% error rate.
11:08:56 Why is Kids King County? They are not part of the state. And balance the state continue with care.
11:09:04 They're their own. And balances state continue both care. They're their own. So, say that there was, builds not being built in.
11:09:16 Those tax, once we get all those corrective.
11:09:22 Also, I would point out some of these lighter. Counties have a very small population in there. Some of them are counting 4 people, you know.
11:09:34 Yeah, yeah, Lincoln County, they're extremely small. So don't look at it as like, oh, we're not the best.
11:09:45 I mean, you know, just use it as a tool. The vast data quality. That's a great goal as far as we're concerned, you know, we support that.
11:10:01 So, there are lots of different things you can look at. I don't know if you have.
11:10:07 HY. Programs Okay.
11:10:16 We have OHY performance dashboard. We have a Y HTP performance dashboard that looks at those, cause those programs have their own performance measures that are a little bit
different.
11:10:28 But this is all available. To you. So I hope it's useful and We do reach out to communities when we make.
11:10:37 Changes, so. If there's something that's really missing. That we're not providing, we'd like to have that, you know, get that feedback.
11:10:50 Does anybody have? Questions. That's pretty much all I got for you. There is a tracker I think that shows, By County.
11:11:03 The racial distribution. We haven't, oh, this one. Yes. Yeah, this one's kinda old.
11:11:11 I don't think it's been updated.
11:11:16 This, this is where there was a question about. The flow. Earlier, this is where you can look at that.
11:11:28 Where people are coming into the system, the project type codes and where they're exiting and if there's differences, significant differences for different.
11:11:37 Race or ethnicity. I just don't think this is very updated. Okay. You, it's very pretty Oh, okay.
11:11:51 Okay.
11:11:55 It looks like under race that we're only viewing it. Yeah, you address that. Okay.
11:12:07 I did forget to answer your question about the multiracial categories. Though. So when people identify with several different races, we count them in each race.
11:12:19 We don't have a multiracial category anymore. We used to, but it's not a best practice and data analysis.
11:12:28 So we changed that. But it's not a best practice in data analysis. So we changed that.
11:12:32 So they're counted as Hispanic and black. That's why it's helpful to look at it and the percentages.
11:12:39 Yeah. I don't see questions. Can they speak and the people online actually speak? They can raise their hand.
11:12:51 For. I have one got general question. You guys use AMI like a lot of other agencies do.
11:13:01 Good. Considered or advocate be able to use affordability? I mean, Just the income is a pretty difficult metric with especially when you're talking about different areas like
Stanford County or Jefferson County where you know housing costs more than the Seattle but I am IS much lower so all of the kind of the steps on the housing continuing become distorted
when we're trying to address, you know, people that are at
11:13:29 risk of policy might be over, you know, 100% AMI. Will on the versions. And I'm just wondering if you guys ever look at other metrics and I'm just wondering if you guys ever
look at other metrics for establishing.
11:13:41 So that's you're talking about the eligibility requirements of the different commerce programs. Yeah. I am not familiar with all of them, but I do think Am I is a criteria in
each program?
11:13:57 And is it? 80% at this point. It's been going up. Over the years, it was 30% probably when I started and then 50 and now it's 80.
11:14:09 But that's another thing to bring up during the state strategic planning process if that's an issue that's being identified because most of those decisions if it's state funding
are made at the commerce policy level rather than in legislation.
11:14:25 But of course, is a different story. So that's something that you could bring up. Okay.
11:14:32 Okay.
11:14:36 It's just a, I think it's really, comment right now and that is to go.
11:14:43 Maybe not in this room, but that conversation that Bayside's been having with the HMS staff and they've been so incredibly patient with us.
11:14:57 In going through a really, conversation about how we, our programs, which is the majority of our programs right now.
11:15:07 And the what we're running up against has a lot to do with. How do we categorize, for example, or any shelter?
11:15:16 Villages. That's really right now the remaining issue for Bayside, how to categorize the And right now they're still other.
11:15:26 And there are so many. So many things to take into consideration. SPEAKER.
11:15:36 Resident or potentially. Tenon writes all the You were do not remain qualified for others. How they options like supportive housing.
11:15:50 So if we make a decision to categorize. The villages for example as transitional housing there are certain things about that that this followed by them from getting into a permanent
support of causing, for example.
11:16:04 So we need to, I think. We need to release it down. At the counting system level to look at.
11:16:14 I feel like I need input about whatever. In order for organization only for us to make some of those decisions.
11:16:25 And so the huge credit of your staff, they've really been patient and what I'm getting is They can't really help us make that decision.
11:16:39 Right? And that's kind of what I was trying for at the beginning as it was trying to understand this was to work with your staff.
11:16:45 So, okay, let me determine. How I can categorize this. What is it? What is it in your language?
11:16:50 And they're coming back to say, well, this is doesn't have this, does it have that?
11:16:56 Would it, you know, which is understandable. That's something about that, you know, which is understandable.
11:17:00 That's, you know, you're using. The definitions that are defined from HUD to the state based on funding sources, etc.
11:17:09 But what I'm really discovering is that We also make some decisions. As as a county about what's available here, what we want to make available.
11:17:19 Yeah. And then my decision on what I'll call. Oh, I guess. Commerce to categorize the villages can have huge impact on what other housing is available.
11:17:32 And what our. The people that were serving had access to. So I feel like that's a conversation we have together.
11:17:42 And see. It's been a bigger conversation. So you may have, as you know, from, the, back, from, from, it's, a, bigger, conversation.
11:17:57 Because, as you know, from, something's back from this, a lot of it has been, as you know, from, from, from this, a lot of it has to be, like, so for instance, CBB is not considered
anything because We're very creative.
11:18:08 Because I didn't fall within their. Guidance and then rules. So we're trying to, CBD now qualifies, probably doesn't follow by.
11:18:21 So there it's a much, and then consequently our population isn't being counted because of the choices that we're needing to make.
11:18:33 That have to do with funding and. And all kinds of other things. So, and then the conversation gets even bigger.
11:18:43 When we then look at the fact that we don't have the basic housing that we need in order to really serve.
11:18:51 So. I think as we talk about that, we need to sit down and talk about that because I think we do have more funding for more housing.
11:19:03 So we need to actually put it on a piece of paper and say this is what I have and this is who we do. But I need to actually put it on the piece of paper and say, this is what
I have.
11:19:14 And this is who
11:19:14 And I would say also as I, we've been through the data efforts just to find out what the housing inventory is.
11:19:22 When we need to see, you know, tiny shelter villages, Transitional on part of emergency.
11:19:32 Population, but it doesn't match up. But that's not. Yes. And so there's an argument to be made as a, into these planning tools as well.
11:19:47 And I think that that's one of the things that I'm hoping that there's an argument to be made as a feeds into these planning tools as well.
11:19:58 And I think that that's one of the things that I'm hoping that will come out of today is that we can share that kind of information and drill down on some of these, especially
with the Golden Report.
11:20:01 To see how that affects our overall numbers. In our performance. And one thing I answer about though is that We're looking at putting together a new 5 year plan.
11:20:14 And we have target goals that we have to set for some of these performance measures, right? So there is.
11:20:23 A baseline that we need to establish and I think we're getting to that as we start.
11:20:31 Putting more. Of the data from all of the house and providers. Into the HMI. S.
11:20:44 MIO system. But we're also kind of seeing so much variance here still. That is I'm a little bit worried about where how do we establish a baseline and I'm wondering if you can
give us any guidance on that.
11:20:57 So like should we see it consistency of data for a certain amount of time? To choose a baseline period.
11:21:06 Yeah, it's gotta be now because somewhere Starting now because. Before we only had, you know, like half of the half of the population was actually being in or into the HMIS.
11:21:22 So. Well, I think that you would, because you have the other project type code. Programs, you would gather your baseline from the annual expenditure report and not.
11:21:34 The county report card. Because it's not capturing your system. So we. You know, we have to write the state plan, which informs your local plan and our local plan guidance to
you all.
11:21:49 So. The local plan guidance was written pre pandemic. And it will probably change very significantly. There was the last homeless state plan.
11:22:00 Was really focused on unsheltered homelessness and the. The what's the word I'm looking for?
11:22:10 L landscape. Has totally changed with huge amounts of prevention funding and a big focus on homelessness prevention. So I think there will be definite significant changes to
what we're looking for as far as the kinds of measures you incorporate into your plan.
11:22:30 So you might wanna wait a bit. Until we release new local plan guidance. The other thing I think.
11:22:46 Okay, this, the question of the rapid rehousing because that has changed so much as well in terms of availability.
11:22:56 And being able to also to consider its impact in terms of outcomes because I know that there has been some national research that actually shows rapid reality to be more effective
and you have the higher Well, how can you see in your community you're almost at target for rapid rehousing.
11:23:24 Rapid rehousing is. Yeah. Best performing most cost-effective intervention. Yeah.
11:23:33 And, and yeah, for talk about the right. Thank you, you know, how do we support that?
11:23:38 Versus, you know, what we usually discuss, which is those people, you know, our emergency and transitional.
11:23:47 Yeah.
11:23:51 Yeah. You have to have rentals for rapid rehearsing. So. Yeah, it's all very complicated.
11:24:02 I have a question about the other maybe for the provider. And then I guess I thought the reason we had something about it was because the villages and Casual Brown Village all
kind of don't qualify a transition.
11:24:16 I don't think that they don't have the amenities involved as a house, don't qualify as an emergency shelter.
11:24:18 And I guess I'm just wondering if they're Is there another possibility that we need to try to introduce through the commerce's planning?
11:24:32 And it's there, wasn't it? I mean, it's there. Wasn't it? Or, it's there, wasn't it?
11:24:35 Or, it's, IT, IS, there, wasn't, or, I mean, it's, it's, like, to find the sort of, yeah, remember, I, like, that, for, IS, getting, And I did that potentially when we, people
from their friends over to CBD, only to find out what they bought by.
11:24:45 But those dollars and the village did not qualify. So that's why we've been changing the village, but only half of them still qualify.
11:24:59 It's kind of crazy. So half of the people are counting through HMMS. Which half is which?
11:25:10 The all of the 20 I'm and we have been able to get a bit of funding. So we've been able to do that but where is that we have all the our vis and stuff that is not or we have
a Does that mean they're all based on villages to be kind of this transitional?
11:25:36 We have, it has to be done different. We have to be implementing rental agreements, which we can absolutely do.
11:25:44 But then all of a sudden, we can absolutely do. But then all of a sudden, now everybody in that village, which we can absolutely do.
11:25:52 But then all of a sudden, now everybody in that village, no longer, well, we can absolutely do.
11:25:53 But then all of a sudden, now, in that village, no longer, well, advice to go into our phone and supported housing, because they're house now.
11:26:03 Which is why we can aren't making the decision yet to be counted as transitional. Which is why we can aren't making the decision yet to be counted as transitional.
11:26:11 I'm in the system. Well, that's not what we're being told. We'll have to look into that.
11:26:22 I mean, I the head, if we're talking. HUD chronic homelessness? Is that what we're talking about?
11:26:26 Because we'll need to take it to the performance. Which is really. Really, was kind of more, I mean, it's very, we consolidated on this grant.
11:26:41 But I mean, honestly, it's 2 things, right? Per minute, it's 2 things, right?
11:26:49 Per minute, it's 2 things, right, for minutes, for, housing is got a disability and you can show a trend.
11:26:51 So if you, if you, if I disqualify someone as homeless. Then they're no longer eligible.
11:26:58 So transitional housing shouldn't do that. And we can look into, okay, so let's work together on that.
11:27:08 Yes. Okay. You're and the other part of like when we're talking about permanent support of housing, there's so many different funders with permanent support of housing, there
are so many different funders with different rules.
11:27:24 There are permanent support of housing, there are so many different funders with different rules. So like we could dig more to, okay, what definition is this particular program
using?
11:27:30 I mean, we can absolutely go there. The HMAS team probably isn't the best to dig into those kinds of things.
11:27:38 Okay. So hard to help me. Kind of tease through these answers, but it's really not, it's their work to do.
11:27:49 Their frame is. How do I categorize this in a data system? They're not looking at.
11:27:56 The other stuff. So let's see. And I came coming back with this very specific question and Okay, let's talk about that.
11:28:11 Let's do that. Okay. Cause we actually would love rental agreements. And recognize what that does for tenant rights.
11:28:24 And also for just clarity of agreement between. Property and so we'd like to move in that direction but we don't want it.
11:28:32 O someone in their ability to Let's take into that. Yes. Which, since we're talking about, the support of housing, there's really been a shift in what the housing providers
are doing to providing more permanent support of policy, which will move some of these population, particularly people who are chronically unhoused.
11:29:00 Out of.
11:29:03 Out of emergency. Which, help with our performance. But.
11:29:11 I just wonder if you have anything to say that we should be looking at in terms. Permanent support of housing and it's effectiveness or How do we, is there anything that we
should shoot for in terms of goals?
11:29:29 So, Yeah. Are you asking? What guidance can they provide to help us to determine how much permanent supporting housing we eat here?
11:29:49 Is that what you're asking. Partly. Yes, I'm just looking for a similar kind of.
11:29:58 So I'm looking at the data. And I'm looking at the data and I'm looking at, Yeah, and how can we use that data to build a good strategy?
11:30:12 For our for our accounts. So one of the things that we've always been looking at is if there are 750 homeless.
11:30:28 Where are all these people compared to how they're accessing their system? So, and I think that has a significance in a rural county.
11:30:38 And, many we know that many people who are technically homeless are in the under house store in the.
11:30:51 What do you call it? The, the category of, housing that is not up to permittable standards.
11:31:00 How are you? She like so we're counting homeless as a place. Not that, in the, in or big out, right?
11:31:12 But. In actuality, It's people. But when you're looking at strategic, how many,
11:31:28 How many, You need to really take a look at that as well. So why do you think they do take that into account that is because a lot of your parents are have and there's a way
bigger number in our community.
11:31:43 With that, then finding the ones that are actually truly considered homeless. So, when do you look at the snapshot report?
11:31:54 When you're looking at your homeless population. It is a more broader look. So it does include.
11:32:03 People who are doubled up. Okay. Same services. Yeah, if they're in one of these data systems.
11:32:15 Oh, it's fine. I just need to look at it. But yeah, so in this snapshot, we're, look, when we, when we flag someone in this snapshot, where when we when we flag someone that
is homeless, they could be couch surfing.
11:32:27 Inappropriate living situation flagged in other data system so it is broader than the whole literal almost side thing that we've been focusing on for so long.
11:32:38 So that's a good thing. I think that's an improvement. So those those people are included.
11:32:43 If they're in a data system. But as when you were talking about the permanent support of howing, I mean, permanent support of housing is the most effective.
11:32:53 I mean, we have like, 95 to 100% positive outcomes. From permanent support of housing, but it's more expensive.
11:33:02 But I was gonna write a note I have a report I can send you all about the the characteristics of almost adults in your community and I'll send that to you because that could
be an interesting thing to look at when you're trying to understand the permanent support of housing need.
11:33:20 It has information about like the chronic health conditions and substance use disorder rates and lots of interesting information so you can see.
11:33:31 In your homeless population, the more high acuity and high need. So I'll send that to you.
11:33:37 How do we get on the list of what you're sending?
11:33:40 I don't know. I'm gonna send a package to Vicki and then she'll distribute that package to Vicky and then she'll distribute it.
11:33:48 Yeah, Yeah, okay.
11:33:58 This is really Thank you. Good, thank you. I'm glad. It was fun.
11:34:08 Okay. Thank you for being willing to talk for so long. That's great. Please,
11:34:20 Give us give commerce feedback about what you want and what kind of data you need and what changes you need.
11:34:27 Seriously. I'm with sort of technical assistance because you have, like the performance team provides a lot of support for like Courtney Adventures.
11:34:37 We have training, we have. Like all kinds of technical assistance that we can do. Yeah.
11:34:49 Okay, thank you. I guess that concludes the workshop. So, next steps, closing remarks.
11:34:59 I don't know, Vicky, you want to say anything?
11:35:03 Yeah, so I hope people don't feel overwhelmed. That's the amount of information. But, you know, this is a system thing.
11:35:15 How seen as a system thing. And we know that this is really important when we're looking just at the homeless, but all these numbers in the homeless indicate that need for affordable
housing.
11:35:27 So we can't improve access. To permanent housing. And it's really hard to reduce the length of stay in homelessness if we don't have that affordable housing.
11:35:40 And so when we even step back from a bigger picture, I'm hoping everybody kills like it's really important to understand.
11:35:49 What these numbers are and what it reflects about the bigger system. So thank you very much for. Engagement and.
11:36:01 As a data nerd, I'm happy. I know a lot of not everybody is.
11:36:10 So, thanks again for coming. Thank you. Please. Alright, with that in this, special meeting.
11:36:21 Is the house on phone? Okay, you're using the, everybody have a great day and a regular meeting is.
09:36:54 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
Cannot hear Vicki
09:37:48 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists:
Is that better?
09:37:49 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
still cannot hear Vicki
09:38:33 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists:
We will test again before we start presentation
09:38:54 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
I can hear you
09:38:59 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
yes
09:39:01 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
Carolyn
09:39:09 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
barely
09:39:09 From Barbara Morey to Hosts and panelists:
yes
09:39:11 From Josh Peters, Jefferson Co. to Hosts and panelists:
I can hear you clearly, Carolyn. Viki not so much.
09:39:12 From Peggy to Hosts and panelists:
I can hear
09:39:15 From vince maniaci to HFB Special(Direct Message):
Yes
09:40:12 From vince maniaci to HFB Special(Direct Message):
Yes but little broken
09:41:45 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
yes
09:41:45 From Barbara Morey to Hosts and panelists:
yes
09:41:47 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists:
can you hear emily
09:41:47 From vince maniaci to HFB Special(Direct Message):
Yes
09:41:48 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
emily
09:41:49 From HFB Special to Cheryl Weinstein - Dove House Advocacy Services and all panelists:
thank you all
09:55:58 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
It looks like under Race that we are only viewing information for that race?
09:57:34 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
thank you
10:00:18 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
Does Rapid Rehousing only include those that used rapid rehousing funds?
10:02:27 From Cheryl Weinstein - Dove House Advocacy Services to Hosts and panelists:
Is each quarter unduplicated clients?
10:44:21 From HFB Special to Everyone:
Can everyone hear individuals in the room?
11:19:11 From Beulah She/her Dove House Advocacy Services to Hosts and panelists:
no