ACS 2005 Standard Quality Rent Calculation for

The following information provides details on how the 2005 ACS Standard Quality Median Rent of and the 2000 Census Standard Quality Median Rent of and the update factor of was developed for using the publically releasable distributions from 2005 ACS and 2000 Census data.

User Note

In computing standard qualtiy rents, HUD actually uses data on rent distributions that are prohibited from public release under Title XIII to protect the confidentiality of respondents. The distributions used in this demonstration are rounded versions of the actual, protected data.

The rounding scheme is as follows:

0, count = 0
1 to 7, count = 4
all other counts are rounded to the nearest 5 (e.g., 10, 15, 20, 25, etc.)

CALCULATIONS USING THE ROUNDED DATA MAY NOT PRODUCE THE SAME RESULT AS CALCULATIONS USING THE PROTECTED DATA. THE DIFFERENCE BETWEEN HUD'S ACTUAL RESULTS AND THOSE DEMONSTRATED HERE IS INVERSELY RELATED TO THE SIZE OF THE AREA. THAT IS, THE LARGER THE AREA, THE CLOSER THE CALCULATION BASED ON THE ROUNDED DATA IS LIKELY TO BE TO THE CENSUS BASE RENT COMPUTED FROM THE PROTECTED DATA.

Standard Quality Rents

HUD uses rents for standard quality units to generate update factors. "Standard Quality" units and rents are determined by limiting the full Census sample by including only responses meeting the following criteria:

a. Occupied rental units paying cash rent
b. Specified renter ? on 10 acres or less
c. with full plumbing
d. with full kitchen
e. built before 1999
f. meals not included in rent

Neither the 2000 Census not the 2005 ACS included a question that could be used to filter public or assisted housing from the rental distributions, however HUD is required to ensure that FMRs exclude non-market rental housing in their computation. Therefore, HUD excludes all units falling below a specified rent level determined from public housing rents in HUD's program databases as likely to be either assisted housing or otherwise at a below-market rent (perhaps due to quality problems not otherwise captured by the survey questions).

The "public housing" rent cut-off for in 2005 is and in 2000 is .

A Microsoft Excel file containing the unsummarized versions of the publicly releasable standard quality 2-bedroom rent distributions from the 2005 ACS for is available here.

A Microsoft Excel file containing the unsummarized versions of the publicly releasable standard quality 2-bedroom rent distributions from the 2000 Census for is available here.

ODBiC Error: Non-numeric expression: + (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 219]

ODBiC Error: Non-numeric expression: (null) + (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 219]

ODBiC Error: Non-numeric expression: (null) - 0
[Error in file 2008_cbsasub_sq_update_factor.odb line 247]

ODBiC Error: Non-numeric expression: (null) + (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 261]

ODBiC Error: Non-numeric expression: * (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 294]

ODBiC Error: Non-numeric expression: (null) - (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 310]

50th Percentile 2005 ACS Standard Quality Rent -

The following table and calculations demonstrate how the 50th percentile 2005 ACS standard quality rent is determined for using the public distribution of standard quality rents.

ODBiC Error: Non-numeric expression: (null) + 1
[Error in file 2008_cbsasub_sq_update_factor.odb line 364]

Portion of Standard Quality Rent Distribution	Gross Rent Dollar Range	Number of Units	Percent of Eligible Distribution	Cumulative Percent
Units below interval containing public housing rent level of	$0 to	0	Not in Distribution	Not in Distribution
Units in interval containing public housing rent level of	to	0.00	ODBiC Error: Non-numeric expression: / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 373] ###.0%	ODBiC Error: Non-numeric expression: / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 374] ###.0%
Units below interval containing 50th percentile standard quality rent of $50	ODBiC Error: Non-numeric expression: (null) + 1 [Error in file 2008_cbsasub_sq_update_factor.odb line 379] $#,### to $1	ODBiC Error: Non-numeric expression: (null) - 0 [Error in file 2008_cbsasub_sq_update_factor.odb line 380] ###,###,###	ODBiC Error: Non-numeric expression: (null) - 0 [Error in file 2008_cbsasub_sq_update_factor.odb line 381] ###.0%	ODBiC Error: Non-numeric expression: (null) / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 382] ###.0%
Units in interval containing 50th percentile standard quality rent of $50	$0 to $99	0	ODBiC Error: Non-numeric expression: / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 387] ###.0%	ODBiC Error: Non-numeric expression: + (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 388] ###.0%
Units above interval containing 50th percentile standard quality rent of $50	$100 or more		ODBiC Error: Non-numeric expression: (null) / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 395] ###.0%	ODBiC Error: Non-numeric expression: + (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 396] ###.0%
Total Units Above Public Housing Rent in Standard Quality Rent Distribution

ODBiC Error: Non-numeric expression: (null) + 1
[Error in file 2008_cbsasub_sq_update_factor.odb line 423]

The Public Housing Rent level of falls on the low end of a rent distribution cell, so all units in this cell are counted as standard quality units having rents above the Public Housing rent level.

In , the 50th percentile standard quality rent falls within an empty distribution cell so the 50th percentile standard quality rent is computed as the average of the lower limit of the empty cell ($0) and the lower limit of the next cell containing data ($100) rounded to the nearest dollar. That is:

50th percentile standard quality rent = ($0 + $100 / 2 = $50.

The difference between the actual 2005 ACS Standard Quality Rent of and the demonstration 2005 ACS Standard Quality Rent of $50 computed here is due to the effects of rounding on the public distribution as described above.

ODBiC Error: Non-numeric expression: + (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 615]

ODBiC Error: Non-numeric expression: (null) + (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 615]

ODBiC Error: Non-numeric expression: (null) - 0
[Error in file 2008_cbsasub_sq_update_factor.odb line 643]

ODBiC Error: Non-numeric expression: (null) + (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 657]

ODBiC Error: Non-numeric expression: * (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 690]

ODBiC Error: Non-numeric expression: (null) - (null)
[Error in file 2008_cbsasub_sq_update_factor.odb line 706]

50th Percentile Standard Quality Rent -

The following table and calculations demonstrate how the 50th percentile Census 2000 standard quality rent is determined for using the public distribution of standard quality rents.

ODBiC Error: Non-numeric expression: (null) + 1
[Error in file 2008_cbsasub_sq_update_factor.odb line 761]

Portion of Standard Quality Rent Distribution	Gross Rent Dollar Range	Number of Units	Percent of Eligible Distribution	Cumulative Percent
Units below interval containing public housing rent level of	$1 to	0	Not in Distribution	Not in Distribution
Units in interval containing public housing rent level of	to	0.00	ODBiC Error: Non-numeric expression: / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 770] ###.0%	ODBiC Error: Non-numeric expression: / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 771] ###.0%
Units below interval containing 50th percentile standard quality rent of $50	ODBiC Error: Non-numeric expression: (null) + 1 [Error in file 2008_cbsasub_sq_update_factor.odb line 776] $#,### to $1	ODBiC Error: Non-numeric expression: (null) - 0 [Error in file 2008_cbsasub_sq_update_factor.odb line 777] ###,###,###	ODBiC Error: Non-numeric expression: (null) - 0 [Error in file 2008_cbsasub_sq_update_factor.odb line 778] ###.0%	ODBiC Error: Non-numeric expression: (null) / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 779] ###.0%
Units in interval containing 50th percentile standard quality rent of $50	$0 to $99	0	ODBiC Error: Non-numeric expression: / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 784] ###.0%	ODBiC Error: Non-numeric expression: + (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 785] ###.0%
Units above interval containing 50th percentile standard quality rent of $50	$100 or more		ODBiC Error: Non-numeric expression: (null) / (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 792] ###.0%	ODBiC Error: Non-numeric expression: + (null) [Error in file 2008_cbsasub_sq_update_factor.odb line 793] ###.0%
Total Units Above Public Housing Rent in Standard Quality Rent Distribution

ODBiC Error: Non-numeric expression: (null) + 1
[Error in file 2008_cbsasub_sq_update_factor.odb line 820]

The Public Housing Rent level of falls on the low end of a rent distribution cell, so all units in this cell are counted as standard quality units having rents above the Public Housing rent level.

50th percentile standard quality rent = ($0 + $100 / 2 = $50.

The difference between the actual 2000 Census Standard Quality Rent of and the demonstration 2000 Census Standard Quality Rent of $50 computed here is due to the effects of rounding on the public distribution as described above.

Computing the 2000 - 2005 Standard Quality Update Factor -

The 2000 to 2005 update factor is calculated as the ratio of the 2005 ACS standard quality median rent for to the 2000 Census standard quality median rent. Therefore the 2000 - 2005 update factor is:

= 2005 Standard Quality Median Rent / 2000 Standard Quality Median Rent

= $50 / $50

= 1.

The difference between the actual 2000 - 2005 update factor of and the demonstration update factor of 1. computed here is due to the effects of computational rounding and the use of the rounding performed on the public distributions as described above.

Problems or questions? Contact Peter.B.Kahn@hud.gov.