HomeMy WebLinkAboutSubmittal-Neisen Kasdin-Trip Generation AnalysisSubmitted into the public
record for item(s) PZ.10
on 04-22-2021, City Clerk
Kimley>»Horn
February 1, 2021
Mr. Alex Schapiro
Miami Design District Associates
3841 NE 2nd Avenue, Suite 300
Miami, Florida 33137
Re: Miami Design District
Trip Generation Analysis
Dear Mr. Schapiro:
Kimley-Horn and Associates, Inc. has performed a trip generation analysis for the proposed
amendment to the previously approved Miami Design District Special Area Plan (SAP) generally
bounded by NE 43rd Street to the north, NE 38th Street to the south, North Miami Avenue to the west,
and Biscayne Boulevard to the east in Miami, Florida. Please note that the Miami Design District SAP
was previously amended and approved as part of the Miami Design District Special Area Plan
Amendment Traffic Impact Analysis, May 2013. The previously approved SAP amendment consisted
of a development program contemplating approximately 1,089,833 square feet of retail space, 181,146
square feet of office space, 52 hotel rooms, 561 multifamily residential units, and 32,267 square feet of
restaurant space. The proposed SAP amendment contemplates a potential development program of
approximately 806,152 square feet of retail space, 703,644 square feet of office space, 110 hotel
rooms, 764 multifamily residential units, and 108,820 square feet of restaurant space.
TRIP GENERATION ANALYSIS
A trip generation analysis was conducted for the previously approved SAP amendment and the
proposed SAP amendment using the Institute of Transportation Engineers' (ITE) Trip Generation
Manual, 10th Edition. Consistent with the previously approved SAP amendment, trip generation
calculations were prepared for the P.M. peak hour. Trip generation for the previously approved and
proposed SAP amendment was determined using ITE Land Use Code (LUC) 820 (Shopping Center),
LUC 710 (General Office Building), LUC 310 (Hotel), LUC 220 (Multifamily Housing [Low -Rise]), and
LUC 932 (High Turnover [Sit -Down] Restaurant).
A multimodal (public transit, bicycle, and pedestrian) factor based on US Census Means of
Transportation to Work data was reviewed for the census tracts in which the SAP is located. An average
multimodal factor of 9.3 percent (9.3%) was applied to the trip generation calculations to account for
the urban environment in which the project site is located. It is expected that employees, residents,
patrons, and guests will choose to walk, bike, or use public transit to and from the site. Detailed trip
generation calculations and US Census Means of Transportation to Work data are included in
Attachment A.
A portion of the trips generated by the SAP will be captured internally on the site. Internal capture trips
were determined based on the methodology contained in ITE's Trip Generation Handbook, 3rd Edition.
Pass -by capture trip rates were determined based on average rates provided in the ITE's Trip
Generation Handbook, 3rd Edition.
kimley-horn.com
8201 Peters Road, Suite 2200, Plantation, FL 33324
954 535 5100
8 72 4 Sii b i1 It s:..) I(a$cb n CTentia.ficy) S
r
Submitted into the public
record for item(s) PZ.10
on 04-22-2021, City Clerk
Kimley>»Horn
Mr. Alex Schapiro, February 1, 2021, Page 2
As shown in Table 1, the proposed SAP amendment represents an increase of 18 net new P.M. peak
hour trips as compared to the previously approved SAP amendment. Detailed trip generation
calculations are included in Attachment A.
Table 1: Net New P.M. Peak Hour Trip Generation Summary
Development Plan
In
Out
Total
Previously Approved
SAP Amendment
969
1,069
2,038
Currently Proposed
SAP Amendment
884
1,172
2,056
Net Change
-85
103
18
PROPOSED ACCESS IMPROVEMENTS
It should be noted that numerous improvements are planned and fully funded in the area of the SAP
boundary that are expected to improve access and overall traffic operations in the area. These
improvements include (1) modifications to simplify traffic operations/signal phasing at the intersection
of NE 36th Street and NE 2"d Avenue/Federal Highway and (2) the construction of new railroad crossing
at NE 42"d Street at Federal Highway that will provide additional access to the SAP area and
surrounding neighborhood.
CONCLUSION
In conclusion, as the proposed SAP amendment results in an increase of 18 net new P.M. peak hour
trips as compared to the previously approved SAP amendment, further study is not warranted for the
proposed SAP amendment's trip impact. If you have any questions regarding this analysis, please feel
free to contact me.
Sincerely,
KIMLEY-HORN AND ASSOCIATES, INC.
John J. McWilliams, P.E.
Attachments
*_
STATE OF .r(Vi•
stoN�
John J. McWilliams, P.E.
Florida Registration Number 62541
Kimley-Horn and Associates, Inc.
8201 Peters Road, Suite 2200
Fort Lauderdale, FL 33324
Registry 00000696
,. c-,P H M I,L7.
O • No 62541 • N
* *
This document has been
digitally signed and sealed by
John J. McWilliams, P.E., on
the date adjacent to the seal.
John J
McWilliams
Digitally signed byJohn J
McWilliams
Date: 2021.02.01 14:5148
-05'00'
Printed copies of this document
are not considered signed and
sealed and the signature must
be verified on any electronic
copies.
\\ftlfp0l\FL_FTL1\FTL_TPTO\043505008 - MDD SAP 2021\correspondence\02 01 2021 Miami Design District Trip Generation Statement.docx
kimley-horn.com
8201 Peters Road, Suite 2200, Plantation, FL 33324
954 535 5100
Submitted into the public
record for item(s) PZ.10
on 04-22-2021, City Clerk
Attachment A
Trip Generation Calculations and
U.S. Census Data
Submitted into the public
record for item(s) PZ.10
on 04-22-2021, City Clerk
PM PEAK HOUR TRIP GENERATION COMPARISON
PREVIOUSLY APPROVED WEEKDAY PM PEAK HOUR TRIP GENERATION
ITE TRIP GENERATION CHARACTERISTICS
DIRECTIONAL
DISTRIBUTION
BASELINE
TRIPS
MULTIMODAL
REDUCTION
GROSS TRIPS
INTERNAL
CAPTURE
EXTERNAL
VEHICLE TRIPS
PASS -BY
CAPTURE
NET NEW
EXTERNAL TRIPS
Land Use
RE
Edition
ITE
Code
Scale
RE
Units
Per
ent
In
Out
Total
Percent
MR
Trips
In
Out
Total
Percent
IC
Trips
In
Gut
Total
Percent
PB
Trips
In
Out
Total
In
Out
G
R
O
U
P
1
1
Shopping Center
10
820
1089.833
ksf
48%
52%
1,527
1,655
3,182
9.3%
296
1,385
1,501
2,886
8.6%
248
1,270
1,368
2,638
34.0%
897
838
903
1,741
2
General Office Building
10
710
181.146
ksf
16%
84%
32
168
200
9.3%
19
29
152
181
29.3%
53
13
115
128
0.0%
0
13
115
128
3
Hotel
10
310
52
room
51%
49%
7
6
13
9.3%
1
6
6
12
91.7%
11
0
1
1
0.0%
0
0
1
1
4
Multifamily Housing (Low -Rise)
10
220
561
du
63%
37%
173
101
274
9.3%
26
156
92
248
63.7%
158
61
29
90
0.0%
0
61
29
90
5
High-Tumover(Sit-Down) Restaurant
10
932
32.267
ksf
62%
38%
195
120
315
9.3%
29
177
109
286
52.4%
150
99
37
136
43.0%
58
57
21
78
6
7
8
9
10
11
12
13
14
15
ITE Land Use Code
Rate or Equation
Total:
1,934
2,050
3,984
9.3%
371
1,753
1,860
3,613
17.2%
620
1,443
1,550
2,993
31.9%
955
969
1,069
2,038
820 LN(Y) = 0.74'LN(X)+2.89
710 LN(Y) = 0.95'LN(X)+0.36
310 Y=0.75•(X)+-26.02
220 LN(Y) = 0.89'LN(X)+-0.02
932 Y=9.77(X)
PROPOSED WEEKDAY PM PEAK HOUR TRIP GENERATION
ITE TRIP GENERATION CHARACTERISTICS
DIRECTIONAL
DISTRIBUTION
BASELINE
TRIPS
MULTIMODAL
REDUCTION
GROSS TRIPS
INTERNAL
CAPTURE
EXTERNAL
VEHICLE TRIPS
PASS -BY
CAPTURE
NET NEW
EXTERNAL TRIPS
Land Use
ITE
Edition
ITE
Code
Scale
RE
Units
Percent
In
out
Total
Percent
MR
Trips
In
Out
Total
Percent
IC
Trips
In
Out
Total
Percent
Pe
Trips
In
Out
Total
In
out
G
R
O
U
P
2
'
1
Shopping Center
10
820
806.152
ksf
48%
52%
1,222
1,324
2,546
9.3%
237
1,108
1,201
2,309
25.6%
590
814
905
1,719
34.0%
584
537
598
1,135
2
General Office Building
10
710
703.644
KSF
16%
849,0
116
611
727
9.3%
68
105
554
659
22.6%
149
65
445
510
0.0%
0
65
445
510
3
Hotel
10
310
110
ROOM
51%
49%
29
27
56
9.3%
5
26
25
51
90.2%
46
1
4
5
0.0%
0
1
4
5
4
Multifamily Housing (Low -Rise)
10
220
764
DU
63%
37%
227
134
361
9.3%
33
206
122
328
67.4%
221
70
37
107
0.0%
0
70
37
107
5
High-Tumover (Sit -Down) Restaurant
10
932
108.82
ksf
62%
38%
659
404
1,063
9.3%
99
598
366
964
45.6%
440
370
154
524
43.0%
225
211
88
299
6
7
8
9
10
11
12
13
14
15
ITE Land Use Code .
Rate or Equation
Total:
2,253
2,500
4,753
9.3%
442
2,043
2,268
4,311
33.5%
1,446
1,320
1,545
2,865
28.2%
809
884
1,172
2,056
820 LN(Y) = 0.74*LN(X)+2.89
710 LN(Y) = 0.95'LN(X)+0.36
310 Y=0.75'(X)+-26.02
220 LN(Y) = 0.89'LN(X)+-0.02
932 Y=9.77(X)
K:1FTL_TPTO1043505008 - MDD SAP 20211Caics\TRIP GEN 10 Scenario 1.xlsx: PRINT -PM PEAK HOUR
1/21/2021,7:09 AM
IN
OUT
TOTAL
NET NEW TRIPS
-85
103
18
Internal Capture Reduction Calculations
Methodology for A.M. Peak Hour and P.M. Peak Hour
based on the Trip Generation Handbook, 3rd Edition, published by the Institute of Transportation Engineers
Methodology for Daily
based on the average of the Unconstrained Rates for the A.M. Peak Hour and P.M. Peak Hour
SUMMARY (EXISTING)
H
d
Z
—
GROSS TRIP GENERATION
Land Use
P.M. Peak Hour
Enter
Exit
Office
29
152
Retail
1,385
1,501
Restaurant
177
109
Cinema/Entertainment
0
0
Residential
156
92
Hotel
6
6
1,753 1,860
OUTPUT
INTERNAL TRIPS
Land Use
P.M. Peak Hour
Enter
Exit
Office
16
37
Retail
115
133
Restaurant
78
72
Cinema/Entertainment
0
0
Residential
95
63
Hotel
6
5
310 310
OUTPUT
Total % Reduction
17.2%
Office
29.3%
Retail
8.6%
Restaurant
52.4%
Cinema/Entertainment
Residential
63.7%
Hotel
91.7%
OUTPUT
EXTERNAL TRIPS
Land Use
P.M. Peak Hour
Enter
Exit
Office
13
115
Retail
1,270
1,368
Restaurant
99
' 37
Cinema/Entertainment
0
0
Residential
61
29
Hotel
0
1
1,443 1,550
Internal Capture Reduction Calculations
Methodology for A.M. Peak Hour and P.M. Peak Hour
based on the Trip Generation Handbook, 3rd Edition, published by the Institute of Transportation Engineers
Methodology for Daily
based on the average of the Unconstrained Rates for the A.M. Peak Hour and P.M. Peak Hour
U
O
ID %-I
N.
SD- 0_
_cv
4—,
0 N
c 4-
-0 O
v
� -0
E O
S2 U
N
SUMMARY (PROPOSED)
1--
M
d
—
GROSS TRIP GENERATION
Land Use
P.M. Peak Hour
Enter
Exit
Office
105
554
Retail
1,108
1,201
Restaurant
598
366
Cinema/Entertainment
0
0
Residential
206
122
Hotel
26
25
2,043 2,268
OUTPUT
INTERNAL TRIPS
Land Use
P.M. Peak Hour
Enter
Exit
Office
40
109
Retail
294
296
Restaurant
228
212
Cinema/Entertainment
0
0
Residential
136
85
Hotel
25
21
723 723
OUTPUT
Total % Reduction
33.5%
Office
22.6%
Retail
25.6%
Restaurant
45.6%
Cinema/Entertainment
Residential
67.4%
Hotel
90.2%
OUTPUT
EXTERNAL TRIPS
Land Use
P.M. Peak Hour
Enter
Exit
Office
65
445
Retail
814
905
Restaurant
370
154
Cinema/Entertainment
0
0
Residential
70
37
Hotel
1
4
1,320 1,545
Y
cu
U
a
U
N
O
N
N
N
d-
o
C
O
1/5/2021 https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002100&tid=ACSDT5Y2019.B08301 &hidePreview=false
United States -
Census
Bureau
MEANS OF TRANSPORTATION TO WORK
Note: This is a modified view of the original table produced by the U.S. Census Bureau. This
download or printed version may have missing information from the original table.
Label
v Total:
v Car, truck, or van:
Drove alone
v Carpooled:
In 2-person carpool
In 3-person carpool
In 4-person carpool
In 5- or 6-person carpool
In 7-or-more-person carpool
v Public transportation (excluding taxicab):
Bus
Subway or elevated rail
Long-distance train or commuter rail
Light rail, streetcar or trolley (carro public() in Puerto Rico)
Ferryboat
Taxicab
Motorcycle
Bicycle
Walked
Other means
Worked from home
(27+0+11)/1,229 = 3.1% 1
Census Tract 21, Miami -Dade County, Florida
Estimate
Margin 0
1,229
1,010
939
71
71
0
0
0
0
27
14
13
0
0
0
25
0
0
11
59
97
Submitted into the public
record for item(s) PZ.10
on 04-22-2021, City Clerk
https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002100&tid=ACSDT5Y2019.B08301 &hidePreview=false 1/3
1/5/2021 https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002100&tid=ACSDT5Y2019.B08301&hidePreview=false
Table Notes
MEANS OF TRANSPORTATION TO WORK
Survey/Program:
American Community Survey
Universe:
Workers 16 years and over
Year:
2019
Estimates:
5-Year
Table ID:
B08301
Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is
the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the
population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.
Source: U.S. Census Bureau, 2015-2019 American Community Survey 5-Year Estimates
2019 ACS data products include updates to several categories of the existing means of transportation question. For
more information, see: Change to Means of Transportation.
Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising
from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent
margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval
defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper
confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to
nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of
nonsampling error is not represented in these tables.
Workers include members of the Armed Forces and civilians who were at work last week.
The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management
and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names,
codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to
differences in the effective dates of the geographic entities.
Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined
based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the
results of ongoing urbanization.
Explanation of Symbols:
An "**" entry in the margin of error column indicates that either no sample observations or too few sample
observations were available to compute a standard error and thus the margin of error. A statistical test is not
appropriate.
An "-" entry in the estimate column indicates that either no sample observations or too few sample observations
were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the
median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of
error associated with a median was larger than the median itself.
An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.
An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.
https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002100&tid=ACSDT5Y2019.B08301 &hidePreview=false 2/3
1/5/2021 https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002100&tid=ACSDT5Y2019.B08301 &hidePreview=false
An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval
of an open-ended distribution. A statistical test is not appropriate.
An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for
sampling variability is not appropriate.
An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be
displayed because the number of sample cases is too small.
An "(X)" means that the estimate is not applicable or not available.
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the
American Community Survey website in the Technical Documentation section.
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on
the American Community Survey website in the Methodology section.
https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002100&tid=ACSDT5Y2019.B08301 &hidePreview=false 3/3
1/5/2021 https://data.census.gov/cedsci/table?q=B08301 &g=1400000US12086002201 &tid=ACSDT5Y2019.B08301 &hidePreview=false
United States'
Census
Bureau
MEANS OF TRANSPORTATION TO WORK
Note: This is a modified view of the original table produced by the U.S. Census Bureau. This
download or printed version may have missing information from the original table.
Label
(39+0+233)/2,124 = 12.8%
Census Tract 22.01, Miami -Dade County, Florida
Estimate
v Total:
v Car, truck, or van:
Drove alone
v Carpooled:
In 2-person carpool
In 3-person carpool
In 4-person carpool
In 5- or 6-person carpool
In 7-or-more-person carpool
v Public transportation (excluding taxicab):
Bus
Subway or elevated rail
Long-distance train or commuter rail
Light rail, streetcar or trolley (carro publico in Puerto Rico)
Ferryboat
Taxicab
Motorcycle
Bicycle
Walked
Other means
Worked from home
2,124
1,560
1,429
131
131
0
0
0
0
39
39
0
0
0
0
12
93
0
233
58
129
Margin o
Submitted into the public
record for item(s) PZ.10
on 04-22-2021, City Clerk
https://data.census.gov/cedsci/table?q=B08301 &g=1400000US12086002201 &tid=ACSDT5Y2019.B08301 &hidePreview=false 1/3
1/5/2021 https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002201&tid=ACSDT5Y2019.B08301&hidePreview=false
Table Notes
MEANS OF TRANSPORTATION TO WORK
Survey/Program:
American Community Survey
Universe:
Workers 16 years and over
Year:
2019
Estimates:
5-Year
Table ID:
B08301
0
Q
cu
0
C CU
Cl.) o
E o
_
Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is
the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the
population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.
Source: U.S. Census Bureau, 2015-2019 American Community Survey 5-Year Estimates
2019 ACS data products include updates to several categories of the existing means of transportation question. For
more information, see: Change to Means of Transportation.
Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising
from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent
margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval
defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper
confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to
nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of
nonsampling error is not represented in these tables.
Workers include members of the Armed Forces and civilians who were at work last week.
The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management
and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names,
codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to
differences in the effective dates of the geographic entities.
Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined
based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the
results of ongoing urbanization.
Explanation of Symbols:
An "**" entry in the margin of error column indicates that either no sample observations or too few sample
observations were available to compute a standard error and thus the margin of error. A statistical test is not
appropriate.
An "-" entry in the estimate column indicates that either no sample observations or too few sample observations
were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the
median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of
error associated with a median was larger than the median itself.
An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.
An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.
w
0
0
N
0
N
N
d'
0
0
https://data.census.gov/cedsci/table?q=B08301 &g=1400000US12086002201 &tid=ACSDT5Y2019.B08301 &hidePreview=false 2/3
1/5/2021 https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002201&tid=ACSDT5Y2019.B08301&hidePreview=false
An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval
of an open-ended distribution. A statistical test is not appropriate.
An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for
sampling variability is not appropriate.
An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be
displayed because the number of sample cases is too small.
An "(X)" means that the estimate is not applicable or not available.
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the
American Community Survey website in the Technical Documentation section.
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on
the American Community Survey website in the Methodology section.
https://data.census.gov/cedsci/table?q=B08301 &g=1400000US12086002201 &tid=ACSDT5Y2019.B08301 &hidePreview=false 3/3
1/5/2021 https://data.census.gov/cedsci/table?q=B08301&g=1400000US12086002202&tid=ACSDT5Y2019.B08301&hidePreview=false
United States
Census
Bureau
MEANS OF TRANSPORTATION TO WORK
Note: This is a modified view of the original table produced by the U.S. Census Bureau. This
download or printed version may have missing information from the original table.
Label
v Total:
v Car, truck, or van:
Drove alone
v Carpooled:
In 2-person carpool
In 3-person carpool
In 4-person carpool
In 5- or 6-person carpool
In 7-or-more-person carpool
v Public transportation (excluding taxicab):
Bus
Subway or elevated rail
Long-distance train or commuter rail
Light rail, streetcar or trolley (carro publico in Puerto Rico)
Ferryboat
Taxicab
Motorcycle
Bicycle
Walked
Other means
Worked from home
(166+115+32)/2,630 = 11.9%
Census Tract 22.02, Miami -Dade County, Florida
Estimate
Margin 0
2,630
2,199
1,975
224
203
21
0
0
0
166
166
0
0
0
0
0
0
115
32
82
36
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Table Notes
MEANS OF TRANSPORTATION TO WORK
Survey/Program:
American Community Survey
Universe:
Workers 16 years and over
Year:
2019
Estimates:
5-Year
Table ID:
B08301
Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is
the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the
population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.
Source: U.S. Census Bureau, 2015-2019 American Community Survey 5-Year Estimates
2019 ACS data products include updates to several categories of the existing means of transportation question. For
more information, see: Change to Means of Transportation.
Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising
from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent
margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval
defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper
confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to
nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of
nonsampling error is not represented in these tables.
Workers include members of the Armed Forces and civilians who were at work last week.
The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management
and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names,
codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to
differences in the effective dates of the geographic entities.
Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined
based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the
results of ongoing urbanization.
Explanation of Symbols:
An "**" entry in the margin of error column indicates that either no sample observations or too few sample
observations were available to compute a standard error and thus the margin of error. A statistical test is not
appropriate.
An "-" entry in the estimate column indicates that either no sample observations or too few sample observations
were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the
median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of
error associated with a median was larger than the median itself.
An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.
An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.
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An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval
of an open-ended distribution. A statistical test is not appropriate.
An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for
sampling variability is not appropriate.
An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be
displayed because the number of sample cases is too small.
An "(X)" means that the estimate is not applicable or not available.
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the
American Community Survey website in the Technical Documentation section.
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on
the American Community Survey website in the Methodology section.
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