10:49:49  ELDON LUCE:

10:49:57  OK, shall we begin?

10:50:00  Welcome

10:50:06  to the analysis of local 
data breakout room
10:50:08 .

10:50:09  We appreciate that you are 
all here.
10:50:11  If we can go

10:50:13  to the next slide,

10:50:17 .

10:50:18  CARLY PACHECO:

10:50:24  Let me just remind folks in 
case it is needed, sorry, 
10:50:28 this is Carly again,

10:50:30  captions are available you 
can activate those the same 
10:50:32 way you did in the main room. 
Look for that enable 
10:50:36 captioning in the toolbar. 
It might sometimes they live 
10:50:40 transcript. 
Either of those will get you 
10:50:42 the captions.

10:50:46  And again, we recommend you 
switch your view to active 
10:50:50 speaker view, which is on the 
right hand corner of your 
10:50:54 screen. 
That should give you the best 
10:50:56 view of this presentation. 
OK, thanks everybody. Go 
10:50:59 ahead Eldon. 
ELDON LUCE: Thank you Carly, 
10:51:02 OK slide one. 
Welcome to the local data, 
10:51:04 breakout room. 
We are talking here of course 
10:51:07 about the data of Yuba/Sutter 
and Placer County's.
10:51:14  There will be three 
presenters, myself, Sarah, 
10:51:16 and Carl.

10:51:19  I will start off, followed 
by Sarah, and then by Carl.
10:51:23  OK,

10:51:23  slide two,

10:51:32  first let me say when we see 
a whole bunch of numbers, and 
10:51:36 a whole bunch of slides about 
numbers, it can get in 
10:51:40 personal -- impersonal.

10:51:48  So, I just want to remind 
everyone that these numbers 
10:51:52 that were talking about are 
all people, residents of our 
10:51:55 communities, and in most 
cases, are the most 
10:51:58 vulnerable populations and 
individuals in our 
10:52:00 communities. 
This slide talks about the 
10:52:02 population of those over 60 
years old in our four 
10:52:06 communities,

10:52:08  and I added those up and 
across our four communities 
10:52:12 we have 181,000 people that 
are 60 years and older
10:52:15  living in our counties.

10:52:21  And also across the bottom 
of the slide we see that 
10:52:25 according to the Independent 
living movement, our 
10:52:28 population includes about 18 
to 20% of the population
10:52:32  of people with disabilities.

10:52:38  If we use that formula 
across all four counties, we 
10:52:42 have 121,000 people who have 
disabilities.
10:52:48  It is important, I think to 
mention, as mentioned 
10:52:51 previously,

10:52:52  although we say we are 
talking about a master plan 
10:52:56 for aging. 
It is also a master plan for 
10:52:59 disability, the disability 
community got involved early 
10:53:02 on.

10:53:03  But not quite early on 
enough to have the title
10:53:07  of the plan changed.

10:53:09  But throughout it you will 
see
10:53:12  that people with 
disabilities are mentioned.
10:53:16  Let's go to the next slide, 
slide three
10:53:19 .

10:53:23  , There we go.

10:53:26  Again, we are talking about 
some of the most vulnerable
10:53:30  citizens, residents,

10:53:31  and this slide

10:53:34 ,

10:53:40  I added them across all our 
counties again, but there's 
10:53:43 over 18,000 that are 60

10:53:47  -- of our 60+ population are 
also low income.
10:53:52  Another indicator of low 
income
10:53:53  and vulnerability

10:53:55  is those on

10:53:59  I

10:54:02  (unknown term),

10:54:03  we have over

10:54:06  40,000 recipients of IHSS

10:54:09  recipients.

10:54:14  We also have (indiscernible) 
IHSS providers.
10:54:16  As we know, recipients

10:54:21  are on account, and 
unfortunately most of our 
10:54:24 providers are also low income.

10:54:26  OK, Sarah taken away. 
SARA MARTINEZ:
10:54:32  OK, as many of us are aware, 
many adults become isolated 
10:54:36 as they age.

10:54:37  One of the risk factors that 
contribute to this is their 
10:54:41 geographical location. 
As you can see on the slide, 
10:54:44 over 30,000 adults are 
geographically isolated,
10:54:47  with Placer having the 
largest number in the four 
10:54:51 counties. 
They not only face 
10:54:52 geographical

10:54:53  isolation but also they are 
isolated from
10:54:56  the digital

10:54:58  society and wanting to reach 
out for support.
10:55:04  Doing the pandemic this was 
seen more, and programs were 
10:55:08 developed across all four 
counties to support these 
10:55:11 groups. 
For example, aging
10:55:17  Agency on Aging Area 4, is 
working hard to work on those 
10:55:21 barriers that contribute to 
isolation.
10:55:23  During our research,

10:55:25  we found that a lot of

10:55:29  people 60+ and people with 
disabilities are homeless.
10:55:32  As you can see in this chart,

10:55:39  most of the people facing 
homelessness in this county 
10:55:42 are people with disabilities.

10:55:48  This can be seen across the 
chart for each county. Nevada 
10:55:53 has 400 people experiencing 
homelessness with 328 of them 
10:55:55 being people with 
disabilities. Yuba has 506, 
10:55:57 with 307 of them being people 
with disabilities.
10:56:00  Placer has 436. 
People experiencing 
10:56:02 homelessness, with

10:56:03  282 of them being people 
disabilities.
10:56:08  In this chart, you also see 
the number of older adults 
10:56:12 experiencing homelessness,

10:56:18  sorry, when looking at these 
numbers you have to keep in 
10:56:22 mind that some of the older 
adults may also be counted in 
10:56:26 the column of people with 
disabilities. . Next slide. 
10:56:30 On this slide you will see a 
number of skilled nursing 
10:56:33 facilities and residential 
care facilities in each 
10:56:36 county. 
As Eldon mentioned, these 
10:56:38 pages seem like numbers, but 
when you take a closer look,
10:56:42  it's another population in 
our county that we can help 
10:56:45 provide resources to.

10:56:47  This population was 
especially impacted during 
10:56:50 the pandemic, and to tell you 
a little bit more about that 
10:56:53 impact I will handed over to 
Carl.
10:56:56  CARL SIGMOND:

10:56:58  Hi

10:57:00 !

10:57:09  I have a bunch of numbers 
here
10:57:27  I'm not going to go through 
them all in detail
10:57:31 .

10:57:48  You will get all of these 
presentations by email next 
10:57:52 week.

10:58:15  So, to kick us off here, 
here are just some basic 
10:58:19 statistics from the pandemic.

10:58:32  And of course, all of these 
numbers are grim numbers.
10:59:11  So, a couple months ago, I 
was at an ADRC meeting
10:59:14 ,

10:59:36  and they showed

10:59:38  some California data

10:59:41 .

10:59:45  -- County data about

10:59:48  COVID-19 impacting nursing 
homes.
11:00:06  And when I asked for

11:00:09  updated data analysis

11:00:10 ,

11:00:16  it was not there.

11:00:37  Can you repeat that Carl?

11:00:52  So, these charts you are 
about to see
11:00:58  are created by me.

11:01:05  And I am not a data scientist

11:01:13  (Laughs)

11:01:14 , So, there is your 
disclaimer.
11:01:41  So, here's the COVID-19 
impact on nursing homes
11:01:45  and Placer County

11:01:46 x.

11:01:48 .

11:01:56  Yuba County...

11:01:59  and Sutter County

11:02:01 ...

11:02:10  and then 'Watch What Happens 
Live''s
11:02:15 ..

11:02:15 .

11:02:41  The nursing homes make up 
69% of the deaths here.
11:02:57  And we can talk about why 
that might be in a bit.
11:03:21  So, also a couple months ago 
they had data on each nursing 
11:03:24 home.

11:03:31  And this comes from the CDC,

11:03:39  or

11:03:42  CM

11:03:44 S

11:03:49 .

11:03:52  So,

11:03:53  Yuba

11:03:57 , Sutter

11:04:00 , Placer

11:04:07 ...

11:04:26  And I believe that is all we 
have.
11:04:40  I'm actually going to stop 
screen share
11:04:43 .

11:05:01  And I'm gonna take the 
liberty to go a bit off 
11:05:06 script,

11:05:20  can you repeat that Carl?

11:05:23  Yes,

11:05:32  if you are not

11:05:34  needing accessibility support

11:05:48 , you need to switch to 
gallery view.
11:05:56  No, feel free the switch to 
gallery view.
11:06:06  So that we can have a 
conversation.
11:06:17  And I will turn it back to 
Carly.
11:06:19  CARLY PACHECO:

11:06:26  Thank you so much Carl, feel 
free to put questions in the 
11:06:30 chat. 
I think those were some 
11:06:33 really interesting statistics 
that we saw
11:06:35 , I will call out the first 
question, not surprisingly, 
11:06:38 what is going on in Nevada 
County? Those COVID-19 cases 
11:06:42 were particularly high.

11:06:43  And I think also

11:06:47 , feel free to unmute 
yourself, this is a smaller 
11:06:50 group. 
So, you are welcome to 
11:06:53 conversation.

11:06:58  If there's too many people 
talking at once we may ask 
11:07:02 you to raise hands. 
But I think for now you can 
11:07:06 just go ahead and unmute 
yourself. ELDON LUCE:
11:07:12  Probably that question, I 
think it said why is Nevada 
11:07:16 County off the charts? 
We can probably go to Carl or 
11:07:19 you Carly, you may know more 
about that.
11:07:23  CARLY PACHECO:

11:07:27  I do know there were some 
particular -- a specific
11:07:33  outbreaks in nursing homes 
and Nevada County which 
11:07:36 impacted those residents, 
obviously pretty intensely.
11:07:42  It also impacted the ability 
to care for residents because
11:07:47  when those outbreaks were 
happening, there was a lot of 
11:07:50 staff who also got COVID.

11:07:55  And so, we were seeing 
emails pretty regularly, I 
11:07:58 want to say pretty few days, 
of a merchant to see homes --
11:08:04  nursing homes needing 
emergency staffing because 
11:08:06 they didn't have enough to 
take care residents.
11:08:09  So that was definitely an 
impact, why that was higher 
11:08:13 in Nevada County versus 
surrounding counties I'm not 
11:08:16 sure. 
I do think we have a high 
11:08:19 rate of individuals living in 
our nursing facilities.
11:08:22  So, that might play a bit of 
a role. But those numbers 
11:08:26 seem pretty significant. 
I don't know if anyone else 
11:08:30 has any thoughts on that.

11:08:39  ELDON LUCE:

11:08:43  This is not on that topic, 
I'll just add again,
11:08:50  this data about populations 
of course is to motivate us 
11:08:54 and to understand

11:08:55  the breadth of need in each 
of our communities
11:08:58  around the numbers

11:08:59  and the people that are 
there.
11:09:05  It would also have us 
remember, I'm sure in each of 
11:09:09 our counties, we certainly do 
in Placer,
11:09:12  when we look at data and 
begin to make our plans we 
11:09:17 really search for those 
underserved populations, 
11:09:19 where people have 
traditionally we have not 
11:09:21 been able to reach.

11:09:25  Especially, in those 
isolated categories, which we 
11:09:27 saw that

11:09:29 , we have a difficult time

11:09:32  reaching with a lot of our 
services.
11:09:37  The other thing I say, 
because we may not all 
11:09:40 realize this, because we 
think of older adults 
11:09:43 primarily. 
And then we think of people 
11:09:45 with disabilities, but as you 
may know,
11:09:49  ADRC

11:09:53  resource connections which 
we have in each of these 
11:09:56 counties now, serve are 
really wide population.
11:10:00  They serve people of all 
ages, disabilities,
11:10:03  and people of all income 
levels.
11:10:09  So, as we look at the 
populations that we serve, 
11:10:13 let's remember how wide that 
is.
11:10:27  CARLY PACHECO:

11:10:30  Thanks Eldon, and I think 
something also
11:10:33  you

11:10:34  pulled out some specific 
data points
11:10:36  for this presentation,

11:10:38  we just got a brief

11:10:41  time here together to talk 
about local data.
11:10:48  But I think in the county 
breakout sessions as well it 
11:10:51 will be important to think 
about what data we do not 
11:10:55 have that we might need to 
collect. Or apply the 
11:10:59 resources for. 
So, just thinking about what 
11:11:02 those key data points are to 
help us support our local 
11:11:06 playbook. 
CARL SIGMOND:
11:11:28  I just want to plug the data 
dashboard that Amanda talked 
11:11:32 about this morning.

11:11:50  In this I believe is an AARP 
dashboard
11:11:57 .

11:12:05  In the livable communities 
website.
11:12:21  So, part of the work of the 
master plan,
11:12:27  will be to compile

11:12:33  these data.

11:12:44  For our community.

11:12:47  ELDON LUCE:

11:12:49  I would remind everybody 
again,
11:12:53  the PowerPoint will go out 
to everybody
11:12:57 , it has the data, I think as 
I recall, Sarah has
11:13:05  some of the sources where we 
collected the data for that. 
11:13:09 So, you will have that as 
well.
11:13:11  CARLY PACHECO: I have a 
question from Kat asking you 
11:13:15 if I can find this kind of 
data
11:13:18  on San Francisco through the 
AARP dashboard?
11:13:20  CARL SIGMOND:

11:13:27  It depends what data you're 
talking about
11:13:30 .

11:13:48  There is deftly data that is 
more readily available
11:13:53 .

11:13:56  But yes!

11:14:01  It's all accessible

11:14:04 ,

11:14:05  it just takes

11:14:08  some digging

11:14:11  and time

11:14:15  sometimes

11:14:16 .

11:14:19  CARLY PACHECO:

11:14:25  Sarah I had a question about 
the resource you used for the 
11:14:29 homeless statistics that you 
shared, can you share were 
11:14:32 those numbers came from? 
SARA MARTINEZ: So, the ones 
11:14:36 for Nevada

11:14:37  and (indiscernible) County I 
was able to get through 
11:14:40 connecting point and Tammy 
and Gregerson.
11:14:42  The ones for Yuba and Sutter 
was through the point and 
11:14:46 time count. 
CARLY PACHECO: Got you, I 
11:14:49 think that something else we 
consider
11:14:51  when you look at data, the 
point and time count
11:14:55  for example is probably the 
best
11:14:57  form of data we have on the 
number of homeless
11:15:04  people in the counties. 
But we know that is one count 
11:15:08 that happens once a year, so, 
we know those numbers are 
11:15:12 under representatives.

11:15:15  And all the counties work 
incredibly hard to get that 
11:15:18 number as accurate as they 
can but it's a hard number to 
11:15:23 come by so it's probably 
really underrepresented. A 
11:15:26 final question, it is 1115, 
from CAT, where should I 
11:15:29 start my data dive? 
Where is a good starting 
11:15:33 place?

11:15:38  CARL SIGMOND:

11:15:41  I will definitely

11:15:43  send the data

11:15:49 , can you repeat that.

11:15:55  I would definitely say the 
data dashboard. CARLY PACHECO:
11:15:59  Is the one Amanda talked 
about related to the MPA?
11:16:04  CARL SIGMOND:

11:16:08  Know for the Department of 
aging.
11:16:13  ELDON LUCE:

11:16:15  The other places,

11:16:21  I know we served our agency

11:16:25  which gave us a lot of our 
data for all four counties.
11:16:31  Because the same agency 
serves the counties that 
11:16:34 sponsors this conference

11:16:35 , but if you are not within 
those four counties, I would 
11:16:39 go to your local area agency 
on.
11:16:42  They have to of course have 
a Ken since,
11:16:45  we have data for the most 
current census.
11:16:51  Those are also

11:16:54  the areas for general data. 
CARLY PACHECO:
11:16:57  OK everybody this wraps up 
the data dive we
11:17:01  took together. 
So, you can go back to the 
11:17:04 main participant page to join 
your county
11:17:07  breakout group which you 
would like to attend.