Anonymous wrote:

Anonymous wrote:There is no way that’s correct

Expand on that. It wasn't quite what I expected, although it isn't terribly far off. It is basically about 10% less than I expect. I need to think about how to handle the interpolation. The current approach might be skewing things towards the middle of a census income bin.

Keep in mind "family" doesn't necessarily mean a family with kids. It could be a retired married couple.

Correct, but even a retiree would need more than that for property taxes, insurance, health insurance and utilities.

Anonymous wrote:There is no way that’s correct

Expand on that. It wasn't quite what I expected, although it isn't terribly far off. It is basically about 10% less than I expect. I need to think about how to handle the interpolation. The current approach might be skewing things towards the middle of a census income bin.

Keep in mind "family" doesn't necessarily mean a family with kids. It could be a retired married couple.

Anonymous wrote:The above $200K doesn’t seem right or a bunch of people in W district don’t work and life off trust funds. ~40% are below a gs-15?

Median is also a wild measurement.

Lots of retirees that paid much less for their homes zoned for Whitman

off in what way.

Anonymous wrote:wow - this seems like a lot of work. good for you i guess.

this does help prove why everyone hates Whitman lol

Whitman is not very high.

WJ seems off.
-DP

Anonymous wrote:There is no way that’s correct

What seems off?

The above $200K doesn’t seem right or a bunch of people in W district don’t work and life off trust funds. ~40% are below a gs-15?

Median is also a wild measurement.

Anonymous wrote:Most clusters are huge! Elementary schools?

Detailed census data isn't available for small areas. I'm not sure how much I'd trust the binning and interpolation that would have to happen at the elementary school level. Especially in the high income areas.

Most clusters are huge! Elementary schools?

wow - this seems like a lot of work. good for you i guess.

this does help prove why everyone hates Whitman lol

There is no way that’s correct

You can't seem to do tables or monospace fonts here...

[img]https://i.imgur.com/ymMJFY9.png
[/img]

Do these look like pretty good estimates? I pulled MCPS GIS data for school boundaries and linked them to census blocks. Then I pulled median income bins for the block groups from ACS data, assigning them proportionally to the schools based on the household numbers by census block. Then it using the income bins to interpolate an overall median for the school.

But, top income bin in ACS is $200k, so a few schools need augmented data to come up with a median above $200k. This estimates that tail by fitting a truncated lognormal distribution to PUMS data. Not perfect, but I'm not I'm not sure what else to do.

Note that this is counting families, not all households.

School Median ($) >$200k Families -------------------------------------------------------------------- Whitman HS $256,633.68 63.8% 11,287 Churchill HS $249,122.01 61.3% 10,893 Bethesda-Chevy Chase HS $223,204.27 54.4% 15,323 Wootton HS $180,883.04 44.5% 9,364 Poolesville HS $173,102.32 40.3% 2,345 Walter Johnson HS $169,604.56 42.3% 17,431 Sherwood HS $160,592.23 35.0% 8,760 Damascus HS $143,342.88 27.2% 7,036 Quince Orchard HS $142,381.48 31.5% 10,052 Magruder HS $140,003.77 27.3% 8,921 Northwest HS $135,079.62 29.9% 11,525 Richard Montgomery HS $131,864.34 27.8% 11,139 Einstein HS $128,264.70 26.7% 11,303 Northwood HS $124,870.61 21.6% 11,669 Rockville HS $124,695.37 22.8% 9,796 Clarksburg HS $123,168.91 23.6% 8,587 Springbrook HS $115,366.80 22.5% 8,254 Blake HS $110,034.63 20.3% 9,746 Seneca Valley HS $109,971.41 14.0% 11,428 Gaithersburg HS $108,435.53 19.1% 16,002 Paint Branch HS $107,110.60 15.2% 10,830 Blair HS $105,483.86 21.8% 12,756 Wheaton HS $89,909.91 9.1% 7,339 Kennedy HS $89,730.06 14.1% 9,861 Watkins Mill HS $85,918.83 12.0% 9,018 -------------------------------------------------------------------- TOTAL 260,666