Helping You Make Informed Decisions

U.S.Department of Commerce

Economics and Statistics Administration

U.S. CENSUS BUREAU

Issued October 2001

CENSR/01-2

Emergency and Transitional

Shelter Population: 2000

Census 2000 Special Reports

By

Annetta C. Smith 

and 

Denise I. Smith
Acknowledgments

This report was prepared by Annetta C.

Smith and Denise I. Smith in Population

Division (POP). Statistical support was provided by Rose Ann M. Renteria (POP).

Tabulations were provided by E. Marie Pees

(POP). Laura Yax (POP) prepared the report

and the supporting statistical table package

for presentation on the Census Bureau

Internet site.

The report was reviewed by Campbell

Gibson and Jorge del Pinal (POP). Staff

members in the Decennial Management

Division also reviewed this report: Edison

Gore, Burton Reist, Sharon Schoch, and

Deborah Russell.

Frances B. Scott, Li Ying Chen, Barbara

Adams, and Laurence V. Qualls of the

Administrative and Customer Services

Division, Walter C. Odom, Chief, provided

publications and printing management,

graphics design and composition, and editorial review for print and electronic media.

General direction and production management were provided by Michael G.

Garland, Assistant Chief, and Gary J.

Lauffer, Chief, Publications Services

Branch.

The authors thank Kim Hopper and Sue

Watlov-Phillips at The National Coalition

for the Homeless for their suggestions on

ways to describe the caveats and limitations

of these data.
Issued October 2001

CENSR/01-2

Emergency and Transitional

Shelter Population: 2000

Census 2000 Special Reports

U.S. Department of Commerce

Donald L. Evans,

Secretary

Samuel W. Bodman,

Deputy Secretary

Economics and Statistics Administration

Kathleen B. Cooper,

Under Secretary for

Economic Affairs

U.S. CENSUS BUREAU

William G. Barron, Jr.,

Acting Director
Suggested Citation

Smith, Annetta C. 

and Denise I. Smith, 

U.S. Census Bureau, 

Census Special Reports,

Series CENSR/01-2, 

Emergency and Transitional

Shelter Population: 2000, 

U.S. Government Printing Office, 

Washington, DC, 2001.

ECONOMICS

AND STATISTICS

ADMINISTRATION

Economics and Statistics 

Administration

Kathleen B. Cooper,

Under Secretary for Economic Affairs

U.S. CENSUS BUREAU

William G. Barron, Jr.,

Acting Director

William G. Barron, Jr.,

Deputy Director

John H. Thompson,

Principal Associate Director for Programs

Nancy M. Gordon,

Associate Director for Demographic Programs

John F. Long,

Chief, Population Division

For sale by the Superintendent of Documents, U.S. Government Printing Office

Internet: bookstore.gpo.gov Phone: toll free 866-512-1800; DC area 202-512-1800

Fax: 202-512-2250 Mail: Stop SSOP, Washington, DC 20402-0001
Contents

Emergency and Transitional Shelter Population: 2000 iii

Who Are People Without Conventional Housing 

in Census 2000? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1

Including People Experiencing Homelessness 

in Census 2000 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1

The Service-Based Enumeration Operation Does 

Not Provide a Count of the Population Experiencing 

Homelessness or of the Population Using Services . . . . . . . . . . . . . . .2

Important Issues to Consider When Reviewing 

the Population Data for Emergency and Transitional 

Shelters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3

Census 2000 Data on the Emergency and Transitional 

Shelter Population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4

Characteristics of the Population in Emergency and 

Transitional Shelters in Census 2000 . . . . . . . . . . . . . . . . . . . . . . . . .4

Information for Counties and Census Tracts on the 

Population in Emergency and Transitional Shelters is 

Available on the Internet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8

For More Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8

Figures

1. Percent of the Population in Emergency and Transitional Shelters 

That Was Male by Age, for the United States and Regions: 2000 . . . . . . . . . . . .6 

2. Percent of the Population in Emergency and Transitional Shelters 

by Age, for the United States and Regions: 2000 . . . . . . . . . . . . . . . . . . . . . . .7 

3. Percent of the Population in Emergency and Transitional Shelters 

by Race and Hispanic or Latino Origin, for the United States: 2000 . . . . . . . . . .7 

Text Tables

1. Population in Emergency and Transitional Shelters for the 

United States, Regions, States, and Puerto Rico: 1990 and 2000 . . . . . . . . . . . .5 

2. Population in Emergency and Transitional Shelters by Sex and Age 

for the United States, Regions, States, and Puerto Rico: 2000 . . . . . . . . . . . . . .9

3. Population in Emergency and Transitional Shelters by Sex, Age, 

Race, and Hispanic or Latino Origin, for the United States: 2000 . . . . . . . . . . .10

4. Population in Emergency and Transitional Shelters by Age for 

Metropolitan Areas With 100 or More People in Emergency and 

Transitional Shelters in the United States and in Puerto Rico: 2000 . . . . . . . . .11

5. Population in Emergency and Transitional Shelters by Age for Places 

of 100,000 or More Population With 100 or More People in Emergency 

and Transitional Shelters in the United States and in Puerto Rico: 2000 . . . . . .14

For Census 2000, the U.S. Census Bureau developed separate

operations to enumerate people living in housing units and

people living in group quarters. Locations classified as group

quarters include such places as college dormitories, correctional facilities, nursing homes, group homes, military quarters, halfway houses, and emergency and transitional shelters.1 This report presents tabulations on people enumerated

at emergency and transitional shelters – that is, at emergency

shelters for people experiencing homelessness; shelters for

children who are runaways, neglected, or without conventional housing; transitional shelters for people without conventional housing;2 and hotels and motels used to provide shelter for people without conventional housing. It does not

include people enumerated at shelters for abused women (or

shelters against domestic violence), transitional housing, and

permanent supportive housing.

It is important to stress that these figures do not constitute

and should not be construed as a count of people without

conventional housing. Nor do they provide a complete tabulation of service users at the canvassed sites. The Census

Bureau's intent was to improve coverage of difficult to enumerate populations, including people without conventional

housing. Although we made a determined effort to enumerate people residing in a variety of shelters, for reasons set out

below, we cannot be certain that all places were covered or

that all people normally using shelters were included in the

shelter counts. Nor can our coverage of targeted outdoor

locations be considered to have been exhaustive due to the

difficulties in mapping such temporary and elusive sites.

Consequently, while the Census Bureau mounted extensive

operations to obtain a comprehensive enumeration of this

population, we will not be producing a separate tabulation of

the population without conventional housing.

WHO ARE PEOPLE WITHOUT CONVENTIONAL

HOUSING IN CENSUS 2000?

For the 1990 Census, the Census Bureau conducted the special census operation, "Shelter and Street Night (S-Night)."

This operation was designed to enumerate people at emergency shelters; shelters for runaway, neglected, and homeless youth; shelters for abused women; and at pre-identified

visible in street locations. Upon release of the data from 

S-Night, the Census Bureau found there was confusion and

misinterpretation of the results from this operation. Although

the Census Bureau described the limitations of these data and

issued cautions that these data should not be used as a count

of people experiencing homelessness, census stakeholders

and data users voiced concern about the meaning and the

appropriate use of these data. As part of the planning for

Census 2000, the Census Bureau emphasized to data users

that Census 2000 would not be producing a count of the

population experiencing homelessness at any geographic

level and to consider the limitations of these data, as shown

in this report.

In an attempt to describe clearly that Census 2000 would not

be producing a count of the population experiencing homelessness, the Census Bureau adopted the terminology, "people without conventional housing." People without conventional housing are defined as the population who may be

missed in the traditional enumeration of housing units and

group quarters. Because of the difficulty in enumerating this

population, special enumeration procedures were developed

with the goal of providing people an opportunity to be

included in Census 2000. The Census Bureau cautions data

users that any attempt to use the results from these specialized operations as a measure of the number of people experiencing homelessness would be inaccurate.

INCLUDING PEOPLE EXPERIENCING

HOMELESSNESS IN CENSUS 2000

People experiencing homelessness are included in a variety

of living arrangements enumerated in Census 2000. These

include:

• Housing units containing people living doubled up

with other families or friends.

• Housing units identified by completing a Be Counted3

questionnaire and providing the address of a friend or

relative as their usual place of residence.

• Foster care serving children.

• Emergency and transitional shelters.

• Halfway houses, jails, group homes, worker dormitories, and targeted nonsheltered outdoor locations. 

U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 1

1

For a complete description of the type of group quarters included in

Census 2000, refer to Technical Documentation, Summary File 1, 2000 Census

of Population and Housing, SF1/01(RV), U.S. Census Bureau, Washington, DC,

www.census.gov/prod/cen2000/doc/sf1.pdf.

2

Includes shelters providing a maximum stay for clients of up to 2 years

and offering support services to promote self-sufficiency and to help clients

obtain permanent housing. 

3

Be Counted questionnaires were blank questionnaires distributed at locations throughout the community. If someone believed that he/she had not

been included in the census, he/she could complete a questionnaire and mail it

back. Respondents were asked to provide the address of their usual place of

residence. If respondents did not consider themselves to have an address on

April 1, 2000, they were directed to mark the "No address on April 1, 2000"

box on the form and were included in the population totals for that geographic

area.

Emergency and Transitional Shelter Population: 2000
As mentioned above, the Census Bureau is not producing a

separate tabulation of those without conventional housing.

The Census 2000 questionnaire included questions to determine who was staying at a particular location, but it did not

include questions to determine if a person at that location

was experiencing homelessness. Nonetheless, every effort

was made to reach people experiencing homelessness so

that they would be included in the overall Census count. The

Service-Based Enumeration (SBE) operation was a major part

of these efforts.

THE SERVICE-BASED ENUMERATION

OPERATION DOES NOT PROVIDE A COUNT OF

THE POPULATION EXPERIENCING

HOMELESSNESS OR OF THE POPULATION

USING SERVICES.

As part of the group quarters enumeration, the Census

Bureau developed a specialized operation to enumerate people at selected service locations that serve people without

conventional housing. The Service-Based Enumeration (SBE)

operation was conducted from March 27 to March 29, 2000,

at shelters, soup kitchens, regularly scheduled mobile food

vans, and targeted nonsheltered outdoor locations. (The SBE

operation is described in the shaded box.) The SBE operation

was designed to directly approach people using services

because they may be missed in the traditional enumeration

of housing units and group quarters. However, while it was

important to implement the SBE operation, it is important to

understand that the results from the SBE operation do not

provide a count of the population experiencing homelessness. Nor do those results provide a count of the population

who used services in 2000 at any geographic level. The reasons are outlined below:

• A one-time count of the population at these locations

does not reflect the dynamic and changing conditions

of homelessness. Different results for the population

experiencing homelessness are obtained when an enumeration occurs only once as opposed to when homelessness is measured over time.

• The number of people experiencing homelessness

varies by the definitions that are used to measure the

population. At the federal and local levels, there are

differences in how people experiencing homelessness

are defined. Census Bureau officials and other experts

generally agree that producing a count of the population experiencing homelessness would require detailed

survey methods that are specifically targeted to that

population. In addition, a generally agreed upon definition of which population groups to include in the

total would need to be established. For example,

some of these population groups may include shelter

users only; people experiencing homelessness on a

single night, weekly, or monthly; and people using

other services. Moreover, regional differences impact

how the population experiencing homelessness is

defined. These differences include, for example,

weather conditions, administrative/bureaucratic practices, police practices, availability of shelters, length of

stays, and different definitions of living arrangements. 

On Monday, March 27, 2000, census enumerators counted people at shelters. All clients were asked the basic

100-percent population items and a sample of clients

(one-in-six) were asked additional questions. The types

of shelters enumerated were:

1. Emergency shelters (with sleeping facilities) for

people without conventional (public and private;

permanent and temporary) housing. 

2. Shelters with temporary lodging for children who

are runaways, neglected, or without conventional

housing.

3. Shelters for abused women and their children.

4. Transitional shelters for people without conventional housing. 

5. Hotels and motels used to provide shelter for people without conventional housing.

On Tuesday, March 28, 2000, census enumerators counted people at soup kitchens and mobile food vans that

operated on a regular schedule. At both soup kitchens

and regularly scheduled mobile food vans, enumerators

conducted personal interviews with the clients, collected

information on the 100-percent basic population questions of all clients, and collected information on additional population characteristics of a sample (one-in-six) of

the population at soup kitchens only.

On Wednesday, March 29, 2000, the Census Bureau enumerated people at targeted nonsheltered outdoor locations by personal interview and collected information on

only the basic 100-percent population items. 

OVERVIEW OF THE SERVICE-BASED ENUMERATION (SBE) OPERATION IN CENSUS 2000

2 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 3

• Other service locations, such as drop-in centers, street

outreach teams, and health care facilities were not

included as service locations in the SBE operation. Any

estimate of the delivery and use of services targeted to

people experiencing homelessness would need to

include additional service locations in the universe.

The Census Bureau limited its universe to services that

would provide the most opportunities for reaching

people at "their usual living quarters." Soup kitchens

and regularly scheduled mobile food vans were added

to the universe to reach people who may not use shelters or who may not complete the census questionnaire at their household address. 

• People counted at soup kitchens and regularly scheduled mobile food vans who reported they had a usual

home elsewhere were tabulated at the address of their

usual residence and not at the service location. Thus,

the soup kitchen and mobile food van results do not

reflect the total number of people who used the service on the day of the enumeration, let alone those

who used them in the course of a week. It would be

incorrect to use the number of people tabulated at the

soup kitchens and mobile food vans as a measure of

the number of people using these services in a community.

• People enumerated at both shelters and targeted nonsheltered outdoor locations were tabulated at the physical location of the shelter or at the outdoor location.

The shelter tabulations reflect the location of the shelter and not necessarily the place from which they

received the service.

• People without conventional housing who were at outside locations other than the targeted nonsheltered

outdoor locations4 identified for the census were not

included in this operation. The Census 2000 outdoor

definition excluded both mobile and transient locations

used by people experiencing homelessness that

changed by the hour and between day and night, and

excluded abandoned buildings.

• In Census 2000 standard data products, the population

enumerated in the SBE operation (as described in the

shaded box) is being tabulated in the data category

called "Other noninstitutional group quarters."5 The

service locations included in the SBE operation will not

be tabulated separately by type of service location in

these standard data products. 

IMPORTANT ISSUES TO CONSIDER WHEN

REVIEWING THE POPULATION DATA FOR

EMERGENCY AND TRANSITIONAL SHELTERS

When reviewing data from the emergency and transitional

shelter enumeration, the Census Bureau encourages data

users not to use it as a count of the population experiencing

homelessness and to consider the following limitations:

• Comparisons of the shelter results with other independent data sources indicate that the number of people counted in shelters differs from the number of

shelter beds in some communities. This may be due

to a number of reasons. For instance, shelters may

not have been operating at capacity on the day of the

enumeration, people may not have been included in

the enumeration, people may have been fearful of participating in the census and avoided the shelter on the

day of the enumeration, more people may have been

present on the day of the enumeration in order to participate in the census, and in some cases the use of

shelter beds varies by season in many communities.

• Census 2000 included only emergency and transitional

shelters that were open on Monday, March 27, 2000.

If the shelter was not open on this date, it was not

included in the census universe as an eligible service

location for census purposes. The population in transitional housing and permanent supportive housing was

counted in the housing unit tabulations and is not included in the counts shown for "emergency and transitional

shelters."

• The population in emergency and transitional shelters represents the results of a one-night enumeration and does

not reflect shelter usage over time. A one-night enumeration provides only a "snap shot" of the population using

the shelters on that night and includes only the people

who were able to get into the shelter on that night. It

does not include people who were turned away on the day

of the enumeration. To fully understand the dynamics of

4

Targeted nonsheltered outdoor locations were geographically identifiable shelter usage, multiple enumerations over time are needed

outdoor locations open to the elements where there was evidence that people

who did not usually receive services at soup kitchens, shelters, and mobile

food vans might be living in March 2000 without paying to stay there. Sites

had to have a specific location description that allowed a census enumeration

team to locate the site; for example, "the Brooklyn Bridge at the corner of

Bristol Drive" or "the 7000 block of Taylor Street behind the old warehouse."

The following were excluded: pay-for-use campgrounds, drop-in centers, post

offices, hospital emergency rooms, and commercial sites, such as all-night theaters and all-night diners.

5

The “Other noninstitutional group quarters” category at the census tract

level includes residential care facilities providing protective oversight, staff dormitories for nurses and interns at military and general hospitals, soup kitchens

and regularly scheduled mobile food vans if no usual home elsewhere was

reported, shelters for abused women, and targeted nonsheltered outdoor locations.
4 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau

to account for different shelter users, seasonal variations

in shelter usage, local decisions that impact when shelter

services are available, and shelter guidelines that determine how long someone can stay at a shelter. 

• Shelter results are tabulated in the jurisdiction where the

shelter facility is physically located. Some jurisdictions

have people experiencing homelessness, but use a shelter

in another jurisdiction. When this happens, they are tabulated in the jurisdiction where the shelter is located. 

• People staying in transitional housing targeted to people

experiencing homelessness, and not in a shelter environment, were included in the housing unit tabulations and

cannot be identified as living in transitional housing for

people experiencing homelessness.

• People staying in permanent housing for people experiencing homelessness were included in the housing unit tabulations, and cannot be identified as living in housing funded by programs to end homelessness.

• Some shelters may have been open on Monday, March 27,

but were not included on the census shelter list. This

could happen if the shelter was not identified on the list of

shelters developed by the Census Bureau in consultation

with local experts, or the shelter was open on that day,

but was incorrectly classified as being closed.

• Weather conditions can greatly impact the usage of shelters on any particular night. Typical shelter usage patterns

and levels could be skewed if unusually good or poor

weather conditions existed on the day of the enumeration.

• Some people in shelters may have been fearful of participating in the shelter enumeration and either avoided the

enumeration or avoided the shelter entirely, thus reducing

the number of people who normally would have been

present at the shelter.

• By design, shelters for abused women (or shelters against

domestic violence) were excluded in the emergency and

transitional shelters category for tabulation purposes. This

decision was made because of the extremely confidential

nature of these facilities' locations. Their residents are,

however, included in the total census counts.

• In this report, data are not shown separately for metropolitan areas and places of 100,000 or more population if

they had fewer than 100 people in emergency and transitional shelters. As noted earlier, people enumerated in

shelters are tabulated where the shelter is physically located.

These and other factors unique to local areas must be considered when assessing the census results of the population

enumerated in emergency and transitional shelters. 

CENSUS 2000 DATA ON THE EMERGENCY AND

TRANSITIONAL SHELTER POPULATION

This report presents population data for people enumerated

at emergency and transitional shelters on March 27, 2000.

As used here, the category "emergency and transitional shelters" includes people enumerated at emergency shelters (with

sleeping facilities); shelters for children who are runaways,

neglected, or without conventional housing; transitional shelters for people without conventional housing; and hotels and

motels used to provide shelter for people without conventional housing. This report does not include data for the population counted in shelters for abused women (or shelters

against domestic violence). 

This report presents basic demographic data from Census

2000 for the population enumerated in emergency and transitional shelters, including age (under 18 years and 18 years

and over), sex, race, and Hispanic or Latino origin. Table 1

shows the total number and percent distribution of people in

emergency and transitional shelters for the United States,

regions, states, and Puerto Rico. Table 2 shows the number

in emergency and transitional shelters by sex and age for the

United States, regions, states, and Puerto Rico. Table 3

shows the number in emergency and transitional shelters by

sex, age, race, and Hispanic or Latino origin for the United

States. Table 4 shows data for metropolitan areas in the

United States and in Puerto Rico that each have 100 or more

people in emergency and transitional shelters, and Table 5

shows corresponding data for places of 100,000 or more

population in the United States and in Puerto Rico.

Metropolitan areas and places of 100,000 or more population

are not included if they had fewer than 100 people in emergency and transitional shelters.

CHARACTERISTICS OF THE POPULATION IN

EMERGENCY AND TRANSITIONAL SHELTERS

IN CENSUS 2000

This brief overview of population characteristics is for the

170,706 people who were tabulated in emergency and transitional shelters in Census 2000.6 For reasons discussed earlier, the tabulated population in emergency and transitional

shelters is not representative of, and should not be construed

to be, the total population without conventional housing, nor

is it representative of the entire population that could be

defined as living in emergency and transitional shelters. 

6

This number is for the United States and does not include Puerto Rico.
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 5

Table 1.

Population in Emergency and Transitional Shelters for the United States, Regions, States,

and Puerto Rico: 1990 and 2000

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Area

1990 2000

Number Percent Number Percent

United States . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,638 100.0 170,706 100.0

Region

Northeast. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,077 33.6 52,369 30.7

Midwest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,245 15.3 28,438 16.7

South . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,407 23.7 42,471 24.9

West. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,909 27.4 47,428 27.8

State

Alabama . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,530 0.9 1,177 0.7

Alaska . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447 0.3 558 0.3

Arizona . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,735 1.5 2,312 1.4

Arkansas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489 0.3 754 0.4

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,806 17.2 27,701 16.2

Colorado . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,554 1.4 2,281 1.3

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,194 2.3 2,291 1.3

Delaware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313 0.2 847 0.5

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,682 2.6 1,762 1.0

Florida . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,110 4.0 6,766 4.0

Georgia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,930 2.2 4,774 2.8

Hawaii . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 854 0.5 747 0.4

Idaho . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461 0.3 703 0.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,481 4.2 6,378 3.7

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,251 1.3 2,384 1.4

Iowa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 989 0.6 1,013 0.6

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 940 0.5 587 0.3

Kentucky . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 284 0.7 1,626 1.0

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,559 0.9 1,986 1.2

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 419 0.2 458 0.3

Maryland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,507 1.4 2,545 1.5

Massachusetts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 207 3.5 5,405 3.2

Michigan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,784 2.1 4,745 2.8

Minnesota . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,253 1.3 2,738 1.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 0.2 572 0.3

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,276 1.3 2,164 1.3

Montana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445 0.2 477 0.3

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 764 0.4 913 0.5

Nevada . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013 0.6 1,553 0.9

New Hampshire . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377 0.2 523 0.3

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,470 4.2 5,500 3.2

New Mexico . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 667 0.4 934 0.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,472 18.2 31,856 18.7

North Carolina . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,637 1.5 3,579 2.1

North Dakota . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279 0.2 178 0.1

Ohio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,277 2.4 5,224 3.1

Oklahoma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,222 1.2 1,478 0.9

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,254 1.8 3,011 1.8

Pennsylvania . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,237 4.6 5,463 3.2

Rhode Island . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469 0.3 634 0.4

South Carolina . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 973 0.5 1,528 0.9

South Dakota . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396 0.2 414 0.2

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,864 1.0 2,252 1.3

Texas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,816 4.4 7,608 4.5

Utah . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 925 0.5 1,494 0.9

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232 0.1 239 0.1

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,657 1.5 2,692 1.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,565 2.6 5,387 3.2

West Virginia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451 0.3 525 0.3

Wisconsin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,555 0.9 1,700 1.0

Wyoming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 0.1 270 0.2

Puerto Rico . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445 (X) 586 (X)

X Not applicable.

Source: U.S. Census Bureau, 1990 Census of Population, General Population Characteristics (1990 CP-1); and Census 2000,

unpublished tabulations.
6 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau

Most of the population in emergency and

transitional shelters was in the Northeast

and the South.

The proportion of the emergency and transitional shelter population in Census 2000 ranged from 31 percent in the

Northeast to 17 percent in the Midwest (Table 1).7 The West

and the South were intermediate at 28 percent and 25 percent, respectively.

Most of the population in emergency and

transitional shelters was male.

In 2000, 61 percent of the emergency and transitional shelter

population was male, and thus only 39 percent was female

(Figure 1). The proportion male varied somewhat among

regions, ranging from 65 percent in the South to 57 percent

in the Northeast.

Adults accounted for the large majority of

the population in emergency and transitional

shelters.

People 18 years and over represented 74 percent of the

emergency and transitional population in 2000 (Figure 2).

The proportion ranged from 77 percent in the South to 

70 percent in the Northeast.

The proportion male in the emergency and transitional shelter population differed by age. The proportion male was 

51 percent for those under 18 years and 65 percent for those

18 years and over.

The proportion male among the emergency and transitional

shelter population under 18 years was nearly identical in all

regions: 51 percent or 52 percent. The proportion male

among those 18 years and over varied, ranging from 69 percent in the South to 60 percent in the Northeast.

Total Population

Under 18 Years

18 Years and Over

61.4

51.2

65.0

57.2

51.0

59.8

62.7

51.8

66.3

64.6

51.1

68.7

62.6

51.1

66.1

Male Female

West

South

Midwest

Northeast

United States

Figure 1.

Percent of the Population in Emergency and Transititonal Shelters 

That Was Male by Age, for the United States and Regions: 2000

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Source: U.S. Census Bureau, Census 2000, unpublished tabulations.

7

The Northeast region includes Connecticut, Maine, Massachusetts, New

Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont.

The South includes Alabama, Arkansas, Delaware, the District of Columbia,

Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina,

Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West Virginia. The

West includes Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana,

Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming. The Midwest

includes Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri,

Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin. 
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 7

Under 18 Years

18 Years and Over

25.7

30.1

24.9

23.2

23.6 

74.3

69.9

75.1

76.8

76.4

West

South

Midwest

Northeast

United States

Figure 2.

Percent of the Population in Emergency and Transitional Shelters 

by Age, for the United States and Regions: 2000 

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Source: U.S. Census Bureau, Census 2000, unpublished tabulations.

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Source: U.S. Census Bureau, Census 2000, unpublished tabulations.

40.8

40.4

2.4

2.3

0.3

9.3

4.5

19.9

33.5 White alone, not Hispanic

or Latino

Hispanic or Latino

(of any race)

Two or more races

Some other race alone

Native Hawaiian and

Other Pacific Islander alone

Asian alone

American Indian and

Alaska Native alone

Black or African

American alone

White alone

Figure 3.

Percent of the Population in Emergency and Transitional Shelters 

by Race and Hispanic or Latino Origin, for the United States: 2000
Most people in emergency and transitional

shelters reported White alone or Black or

African American alone as their race.

In 2000, 41 percent of the emergency and transitional shelter

population reported White alone as their race, and 40 percent

reported Black or African American alone (Figure 3).8 An additional 9.3 percent reported Some other race alone,9 2.4 percent reported American Indian and Alaska Native alone, 

2.3 percent reported Asian alone, and 0.3 percent reported

Native Hawaiian and Other Pacific Islander alone. The remaining 4.5 percent of the emergency and transitional shelter

population reported Two or more races (i.e., they reported

two or more of the six race categories listed above). 

People who reported they were of Hispanic or Latino origin

(who may be of any race) represented 20 percent of the

emergency and transitional shelter population. People who

reported that they were White alone, not Hispanic or Latino,

represented 33 percent of this population.

INFORMATION FOR COUNTIES AND CENSUS

TRACTS ON THE POPULATION IN EMERGENCY

AND TRANSITIONAL SHELTERS IS AVAILABLE

ON THE INTERNET.

For information on the population in selected group quarters

for the counties with 100 or more people in emergency and

transitional shelters, and census tracts with 100 or more people in emergency and transitional shelters, and for Puerto

Rico, see the Census Bureau's Internet site www.census.gov.

FOR MORE INFORMATION

For information on confidentiality protection, nonsampling

error, and definitions, also see

www.census.gov/prod/cen2000/doc/sf1.pdf or contact our

Customer Services Center at 301-763-INFO (4636). For more

information about Census 2000, including data products, call

Customer Services Center at 301-763-INFO (4636) or e-mail

webmaster@census.gov. Copies of this report are available

from the Government Printing Office, Washington, DC 20402.

Questions about this report may be addressed to Annetta C.

Smith or Denise I. Smith, Population Division, U.S. Census

Bureau, Washington, DC 20233 or to the e-mail address

pop@census.gov.

8 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau

8

People who indicated only one race when responding to the question on

race are referred to as the race alone population, or the group who reported

only one race. For a detailed discussion on race reporting, see Grieco,

Elizabeth M. and Rachel Cassidy, 2001, Overview of Race and Hispanic Origin:

2000, Census 2000 Brief, C2KBR/01-1, U.S. Census Bureau, Washington, DC,

www.census.gov/prod/2001pubs/c2kbr01-1.pdf.

9

In 2000, 97 percent of individuals of Some other race alone in the United

States were of Hispanic or Latino origin. See Grieco and Cassidy, ibid.
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 9

Table 2.

Population in Emergency and Transitional Shelters by Sex and Age for the United States,

Regions, States, and Puerto Rico: 2000

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Area

Both sexes Male Female

All ages

Under 18

years

18 years

and over All ages

Under 18

years

18 years

and over All ages

Under 18

years

18 years

and over

United States . . . . . . . . . . . . . . 170,706 43,887 126,819 104,879 22,465 82,414 65,827 21,422 44,405

Region

Northeast . . . . . . . . . . . . . . . . . . . . 52,369 15,776 36,593 29,929 8,052 21,877 22,440 7,724 14,716

Midwest . . . . . . . . . . . . . . . . . . . . . 28,438 7,086 21,352 17,836 3,673 14,163 10,602 3,413 7,189

South . . . . . . . . . . . . . . . . . . . . . . . 42,471 9,848 32,623 27,437 5,034 22,403 15,034 4,814 10,220

West . . . . . . . . . . . . . . . . . . . . . . . . 47,428 11,177 36,251 29,677 5,706 23,971 17,751 5,471 12,280

State

Alabama . . . . . . . . . . . . . . . . . . . . . 1,177 258 919 811 121 690 366 137 229

Alaska. . . . . . . . . . . . . . . . . . . . . . . 558 144 414 381 81 300 177 63 114

Arizona . . . . . . . . . . . . . . . . . . . . . . 2,312 641 1,671 1,659 402 1,257 653 239 414

Arkansas . . . . . . . . . . . . . . . . . . . . 754 233 521 521 128 393 233 105 128

California . . . . . . . . . . . . . . . . . . . . 27,701 6,841 20,860 16,573 3,431 13,142 11,128 3,410 7,718

Colorado. . . . . . . . . . . . . . . . . . . . . 2,281 385 1,896 1,589 213 1,376 692 172 520

Connecticut . . . . . . . . . . . . . . . . . . 2,291 543 1,748 1,447 290 1,157 844 253 591

Delaware . . . . . . . . . . . . . . . . . . . . 847 219 628 497 114 383 350 105 245

District of Columbia . . . . . . . . . . . 1,762 287 1,475 991 127 864 771 160 611

Florida. . . . . . . . . . . . . . . . . . . . . . . 6,766 1,751 5,015 4,336 903 3,433 2,430 848 1,582

Georgia. . . . . . . . . . . . . . . . . . . . . . 4,774 886 3,888 3,145 415 2,730 1,629 471 1,158

Hawaii. . . . . . . . . . . . . . . . . . . . . . . 747 246 501 431 138 293 316 108 208

Idaho. . . . . . . . . . . . . . . . . . . . . . . . 703 203 500 430 106 324 273 97 176

Illinois . . . . . . . . . . . . . . . . . . . . . . . 6,378 1,464 4,914 4,023 775 3,248 2,355 689 1,666

Indiana . . . . . . . . . . . . . . . . . . . . . . 2,384 615 1,769 1,497 314 1,183 887 301 586

Iowa . . . . . . . . . . . . . . . . . . . . . . . . 1,013 314 699 646 155 491 367 159 208

Kansas . . . . . . . . . . . . . . . . . . . . . . 587 185 402 377 100 277 210 85 125

Kentucky . . . . . . . . . . . . . . . . . . . . 1,626 326 1,300 1,098 167 931 528 159 369

Louisiana . . . . . . . . . . . . . . . . . . . . 1,986 437 1,549 1,251 209 1,042 735 228 507

Maine . . . . . . . . . . . . . . . . . . . . . . . 458 91 367 295 47 248 163 44 119

Maryland . . . . . . . . . . . . . . . . . . . . 2,545 608 1,937 1,552 297 1,255 993 311 682

Massachusetts . . . . . . . . . . . . . . . 5,405 1,169 4,236 3,581 632 2,949 1,824 537 1,287

Michigan. . . . . . . . . . . . . . . . . . . . . 4,745 1,140 3,605 2,920 578 2,342 1,825 562 1,263

Minnesota . . . . . . . . . . . . . . . . . . . 2,738 790 1,948 1,678 414 1,264 1,060 376 684

Mississippi . . . . . . . . . . . . . . . . . . . 572 202 370 328 89 239 244 113 131

Missouri . . . . . . . . . . . . . . . . . . . . . 2,164 569 1,595 1,319 293 1,026 845 276 569

Montana . . . . . . . . . . . . . . . . . . . . . 477 109 368 313 53 260 164 56 108

Nebraska . . . . . . . . . . . . . . . . . . . . 913 281 632 518 142 376 395 139 256

Nevada . . . . . . . . . . . . . . . . . . . . . . 1,553 188 1,365 1,158 99 1,059 395 89 306

New Hampshire . . . . . . . . . . . . . . 523 120 403 308 56 252 215 64 151

New Jersey . . . . . . . . . . . . . . . . . . 5,500 1,494 4,006 3,198 776 2,422 2,302 718 1,584

New Mexico. . . . . . . . . . . . . . . . . . 934 181 753 633 98 535 301 83 218

New York . . . . . . . . . . . . . . . . . . . . 31,856 10,465 21,391 17,268 5,267 12,001 14,588 5,198 9,390

North Carolina. . . . . . . . . . . . . . . . 3,579 643 2,936 2,466 337 2,129 1,113 306 807

North Dakota . . . . . . . . . . . . . . . . . 178 15 163 143 8 135 35 7 28

Ohio . . . . . . . . . . . . . . . . . . . . . . . . 5,224 1,096 4,128 3,406 575 2,831 1,818 521 1,297

Oklahoma. . . . . . . . . . . . . . . . . . . . 1,478 396 1,082 974 211 763 504 185 319

Oregon . . . . . . . . . . . . . . . . . . . . . . 3,011 467 2,544 2,128 243 1,885 883 224 659

Pennsylvania . . . . . . . . . . . . . . . . . 5,463 1,732 3,731 3,250 899 2,351 2,213 833 1,380

Rhode Island . . . . . . . . . . . . . . . . . 634 122 512 417 65 352 217 57 160

South Carolina . . . . . . . . . . . . . . . 1,528 329 1,199 1,082 177 905 446 152 294

South Dakota . . . . . . . . . . . . . . . . 414 203 211 240 111 129 174 92 82

Tennessee . . . . . . . . . . . . . . . . . . . 2,252 592 1,660 1 536 354 1,182 716 238 478

Texas . . . . . . . . . . . . . . . . . . . . . . . 7,608 1,778 5,830 4,927 918 4,009 2,681 860 1,821

Utah . . . . . . . . . . . . . . . . . . . . . . . . 1,494 298 1,196 1,034 126 908 460 172 288

Vermont . . . . . . . . . . . . . . . . . . . . . 239 40 199 165 20 145 74 20 54

Virginia . . . . . . . . . . . . . . . . . . . . . . 2,692 757 1,935 1,582 376 1,206 1,110 381 729

Washington . . . . . . . . . . . . . . . . . . 5,387 1,401 3,986 3,203 680 2,523 2,184 721 1,463

West Virginia . . . . . . . . . . . . . . . . . 525 146 379 340 91 249 185 55 130

Wisconsin. . . . . . . . . . . . . . . . . . . . 1,700 414 1,286 1,069 208 861 631 206 425

Wyoming . . . . . . . . . . . . . . . . . . . . 270 73 197 145 36 109 125 37 88

Puerto Rico . . . . . . . . . . . . . . . . . . . 586 209 377 319 116 203 267 93 174

Source: U.S. Census Bureau, Census 2000, unpublished tabulations.
10 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau

Table 3.

Population in Emergency and Transitional Shelters by Sex, Age, Race, and Hispanic or

Latino Origin, for the United States: 2000

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Sex and age

Total

population

Race

Hispanic

or

Latino

(of any

race)

White

alone,

not

Hispanic

or Latino

One race

Two or

more

Total White races

Black or

African

American

American

Indian

and

Alaska

Native Asian

Native

Hawaiian

and

Other

Pacific

Islander

Some

other

race

NUMBER

Both sexes . . . . . . . . . 170,706 163,028 69,637 69,046 4,092 3,922 489 15,842 7,678 34,013 57,173

Under 18 years . . . . . . 43,887 41,049 13,935 19,475 1,030 897 188 5,524 2,838 11,475 10,005

18 years and over . . . . 126,819 121,979 55,702 49,571 3,062 3,025 301 10,318 4,840 22,538 47,168

Male. . . . . . . . . . . . . . . . 104,879 100,595 45,028 41,544 2,506 2,088 259 9,170 4,284 20,153 37,356

Under 18 years . . . . . . 22,465 21,057 7,262 9,886 538 446 104 2,821 1,408 5,847 5,245

18 years and over . . . . 82,414 79,538 37,766 31,658 1,968 1,642 155 6,349 2,876 14,306 32,111

Female . . . . . . . . . . . . . 65,827 62,433 24,609 27,502 1,586 1,834 230 6,672 3,394 13,860 19,817

Under 18 years . . . . . . 21,422 19,992 6,673 9,589 492 451 84 2,703 1,430 5,628 4,760

18 years and over . . . . 44,405 42,441 17,936 17,913 1,094 1,383 146 3,969 1,964 8,232 15,057

PERCENT BY AGE

Both sexes 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Under 18 years . . . . . . 25.7 25.2 20.0 28.2 25.2 22.9 38.4 34.9 37.0 33.7 17.5

18 years and over . . . . 74.3 74.8 80.0 71.8 74.8 77.1 61.6 65.1 63.0 66.3 82.5

Male. . . . . . . . . . . . . . . . 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Under 18 years . . . . . . 21.4 20.9 16.1 23.8 21.5 21.4 40.2 30.8 32.9 29.0 14.0

18 years and over . . . . 78.6 79.1 83.9 76.2 78.5 78.6 59.8 69.2 67.1 71.0 86.0

Female . . . . . . . . . . . . . 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Under 18 years . . . . . . 32.5 32.0 27.1 34.9 31.0 24.6 36.5 40.5 42.1 40.6 24.0

18 years and over . . . . 67.5 68.0 72.9 65.1 69.0 75.4 63.5 59.5 57.9 59.4 76.0

PERCENT BY RACE

AND HISPANIC OR

LATINO ORIGIN

Both sexes . . . . . . . . . 100.0 95.5 40.8 40.4 2.4 2.3 0.3 9.3 4.5 19.9 33.5

Under 18 years . . . . . . 100.0 93.5 31.8 44.4 2.3 2.0 0.4 12.6 6.5 26.1 22.8

18 years and over . . . . 100.0 96.2 43.9 39.1 2.4 2.4 0.2 8.1 3.8 17.8 37.2

Male. . . . . . . . . . . . . . . . 100.0 95.9 42.9 39.6 2.4 2.0 0.2 8.7 4.1 19.2 35.6

Under 18 years . . . . . . 100.0 93.7 32.3 44.0 2.4 2.0 0.5 12.6 6.3 26.0 23.3

18 years and over . . . . 100.0 96.5 45.8 38.4 2.4 2.0 0.2 7.7 3.5 17.4 39.0

Female . . . . . . . . . . . . . 100.0 94.8 37.4 41.8 2.4 2.8 0.3 10.1 5.2 21.1 30.1

Under 18 years . . . . . . 100.0 93.3 31.2 44.8 2.3 2.1 0.4 12.6 6.7 26.3 22.2

18 years and over . . . . 100.0 95.6 40.4 40.3 2.5 3.1 0.3 8.9 4.4 18.5 33.9

Source: U.S. Census Bureau, Census 2000, unpublished tabulations.
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 11

Table 4.

Population in Emergency and Transitional Shelters by Age for Metropolitan Areas With

100 or More People in Emergency and Transitional Shelters in the United States and in

Puerto Rico: 2000

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Characteristic All ages Under 18 years 18 years and over

United States . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170,706 43,887 126,819

Albany, GA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 62 62

Albany—Schenectady—Troy, NY MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280 58 222

Albuquerque, NM MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678 113 565

Allentown—Bethlehem—Easton, PA MSA . . . . . . . . . . . . . . . . . . . . . . . . . 222 57 165

Amarillo, TX MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 22 145

Anchorage, AK MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314 58 256

Appleton—Oshkosh—Neenah, WI MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . 113 32 81

Asheville, NC MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232 37 195

Atlanta, GA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,736 648 3,088

Austin—San Marcos, TX MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481 138 343

Bakersfield, CA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464 120 344

Barnstable—Yarmouth, MA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296 51 245

Baton Rouge, LA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 41 185

Bellingham, WA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 25 130

Benton Harbor, MI MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 28 76

Billings, MT MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 18 100

Biloxi—Gulfport—Pascagoula, MS MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . 104 19 85

Binghamton, NY MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 18 105

Birmingham, AL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 505 141 364

Bloomington, IN MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 41 63

Bloomington—Normal, IL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 13 92

Boise City, ID MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 84 200

Boston—Worcester—Lawrence, MA—NH—ME—CT CMSA . . . . . . . . . 4,732 1,026 3,706

Bryan—College Station, TX MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 30 95

Buffalo—Niagara Falls, NY MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 69 92

Burlington, VT MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 17 88

Casper, WY MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 49 67

Cedar Rapids, IA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 44 83

Champaign—Urbana, IL MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 35 105

Charleston—North Charleston, SC MSA . . . . . . . . . . . . . . . . . . . . . . . . . . 230 22 208

Charleston, WV MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 20 93

Charlotte—Gastonia—Rock Hill, NC—SC MSA . . . . . . . . . . . . . . . . . . . . 825 164 661

Chattanooga, TN—GA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314 86 228

Chicago—Gary—Kenosha, IL—IN—WI CMSA . . . . . . . . . . . . . . . . . . . . . 5,401 1,268 4,133

Cincinnati—Hamilton, OH—KY—IN CMSA . . . . . . . . . . . . . . . . . . . . . . . . 996 172 824

Cleveland—Akron, OH CMSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,419 497 1,922

Colorado Springs, CO MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 25 187

Columbia, SC MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279 25 254

Columbus, GA—AL MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276 40 236

Columbus, OH MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664 135 529

Corpus Christi, TX MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272 24 248

Dallas—Fort Worth, TX CMSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,278 403 1,875

Davenport—Moline—Rock Island, IA—IL MSA . . . . . . . . . . . . . . . . . . . . . 172 66 106

Dayton—Springfield, OH MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235 87 148

Denver—Boulder—Greeley, CO CMSA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,685 298 1,387

Des Moines, IA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 428 89 339

Detroit—Ann Arbor—Flint, MI CMSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,096 695 2,401

Dover, DE MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 45 86

Duluth—Superior, MN—WI MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173 42 131

El Paso, TX MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356 89 267

Elkhart—Goshen, IN MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 18 85

Erie, PA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 53 131

Eugene—Springfield, OR MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 42 331

Evansville—Henderson, IN—KY MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290 72 218

Fargo—Moorhead, ND—MN MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 10 143

Fayetteville—Springdale—Rogers, AR MSA . . . . . . . . . . . . . . . . . . . . . . . 108 43 65

Fort Collins—Loveland, CO MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 17 155

Fort Wayne, IN MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152 45 107

See footnotes at end of table.
12 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau

Table 4.

Population in Emergency and Transitional Shelters by Age for Metropolitan Areas With

100 or More People in Emergency and Transitional Shelters in the United States and in

Puerto Rico: 2000—Con.

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Characteristic All ages Under 18 years 18 years and over

Fresno, CA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,125 323 802

Grand Rapids—Muskegon—Holland, MI MSA . . . . . . . . . . . . . . . . . . . . . 568 173 395

Greensboro—Winston-Salem—High Point, NC MSA. . . . . . . . . . . . . . . . 798 136 662

Greenville—Spartanburg—Anderson, SC MSA. . . . . . . . . . . . . . . . . . . . . 654 149 505

Harrisburg—Lebanon—Carlisle, PA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . 264 81 183

Hartford, CT MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 972 177 795

Honolulu, HI MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 623 209 414

Houston—Galveston—Brazoria, TX CMSA . . . . . . . . . . . . . . . . . . . . . . . . 1,756 492 1,264

Huntsville, AL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 5 173

Indianapolis, IN MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578 134 444

Jackson, MS MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 69 161

Jacksonville, FL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360 33 327

Johnson City—Kingsport—Bristol, TN—VA MSA . . . . . . . . . . . . . . . . . . . 165 11 154

Kalamazoo—Battle Creek, MI MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 45 146

Kansas City, MO—KS MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 842 234 608

Killeen—Temple, TX MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 25 104

Knoxville, TN MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242 50 192

Lafayette, LA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361 49 312

Lake Charles, LA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 65 117

Lakeland—Winter Haven, FL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 21 117

Lancaster, PA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216 47 169

Lansing—East Lansing, MI MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 36 79

Laredo, TX MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 56 137

Las Vegas, NV—AZ MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,344 142 1,202

Lexington, KY MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 50 157

Little Rock—North Little Rock, AR MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . 278 45 233

Los Angeles—Riverside—Orange County, CA CMSA . . . . . . . . . . . . . . . 13,103 3,191 9,912

Louisville, KY—IN MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,088 216 872

Lynchburg, VA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 33 74

Macon, GA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 16 92

Madison, WI MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279 64 215

Medford—Ashland, OR MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 14 133

Melbourne—Titusville—Palm Bay, FL MSA . . . . . . . . . . . . . . . . . . . . . . . . 211 32 179

Memphis, TN—AR—MS MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523 304 219

Merced, CA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 40 126

Miami—Fort Lauderdale, FL CMSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,630 597 2,033

Milwaukee—Racine, WI CMSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 694 138 556

Minneapolis—St. Paul, MN—WI MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,113 633 1,480

Mobile, AL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 18 153

Modesto, CA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379 141 238

Monroe, LA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 11 92

Naples, FL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174 19 155

Nashville, TN MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 698 60 638

New London—Norwich, CT—RI MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 53 78

New Orleans, LA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 670 132 538

New York—Northern New Jersey—Long Island, NY—NJ—CT—PA

CMSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,691 11,630 24,061

Norfolk—Virginia Beach—Newport News, VA—NC MSA . . . . . . . . . . . . 567 157 410

Oklahoma City, OK MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539 136 403

Omaha, NE—IA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682 188 494

Orlando, FL MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 931 243 688

Peoria—Pekin, IL MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247 62 185

Philadelphia—Wilmington—Atlantic City, PA—NJ—DE—MD CMSA . . 4,861 1,462 3,399

Phoenix—Mesa, AZ MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,591 435 1,156

Pittsburgh, PA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 531 197 334

Portland, ME MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 53 192

Portland-Salem, OR—WA CMSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,124 366 1,758

Providence—Fall River—Warwick, RI—MA MSA . . . . . . . . . . . . . . . . . . . 598 129 469

Raleigh—Durham—Chapel Hill, NC MSA . . . . . . . . . . . . . . . . . . . . . . . . . 981 150 831

See footnotes at end of table.
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 13

Table 4.

Population in Emergency and Transitional Shelters by Age for Metropolitan Areas With

100 or More People in Emergency and Transitional Shelters in the United States and in

Puerto Rico: 2000—Con.

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Characteristic All ages Under 18 years 18 years and over

Rapid City, SD MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158 78 80

Reading, PA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156 38 118

Redding, CA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 25 99

Reno, NV MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 49 195

Richmond—Petersburg, VA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 101 310

Roanoke, VA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 39 156

Rochester, NY MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390 43 347

Rockford, IL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 31 150

Sacramento—Yolo, CA CMSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 780 162 618

Saginaw—Bay City—Midland, MI MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 53 152

St. Cloud, MN MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 15 93

St. Louis, MO—IL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 851 306 545

Salinas, CA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 63 183

Salt Lake City—Ogden, UT MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,178 245 933

San Antonio, TX MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 850 260 590

San Diego, CA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,999 482 1,517

San Francisco—Oakland—San Jose, CA CMSA . . . . . . . . . . . . . . . . . . . 6,761 1,617 5,144

San Luis Obispo—Atascadero—Paso Robles, CA MSA . . . . . . . . . . . . . 188 38 150

Santa Barbara—Santa Maria—Lompoc, CA MSA . . . . . . . . . . . . . . . . . . 608 129 479

Sarasota—Bradenton, FL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 79 86

Savannah, GA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 26 127

Scranton—Wilkes-Barre—Hazleton, PA MSA . . . . . . . . . . . . . . . . . . . . . . 173 49 124

Seattle—Tacoma—Bremerton, WA CMSA . . . . . . . . . . . . . . . . . . . . . . . . . 7,774 3,887 2,867

Shreveport—Bossier City, LA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 64 179

Sioux Falls, SD MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173 76 97

South Bend, IN MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 46 164

Spokane, WA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313 77 236

Springfield, IL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 38 140

Springfield, MO MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313 69 244

Springfield, MA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493 91 402

Stockton—Lodi, CA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493 123 370

Syracuse, NY MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250 34 216

Tallahassee, FL MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224 30 194

Tampa—St. Petersburg—Clearwater, FL MSA . . . . . . . . . . . . . . . . . . . . . 1,141 410 731

Toledo, OH MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256 75 181

Tucson, AZ MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340 104 236

Tulsa, OK MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 540 128 412

Tyler, TX MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 38 72

Visalia—Tulare—Porterville, CA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 84 152

Washington—Baltimore, DC—MD—VA—WV CMSA . . . . . . . . . . . . . . . . 5,275 1,216 4,059

West Palm Beach—Boca Raton, FL MSA . . . . . . . . . . . . . . . . . . . . . . . . . 226 110 116

Wichita, KS MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 35 91

Yakima, WA MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 116 209

York, PA MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 46 121

Youngstown—Warren, OH MSA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158 29 129

Yuma, AZ MSA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 22 91

Puerto Rico . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 586 209 337

San Juan—Caguas—Arecibo, PR CMSA. . . . . . . . . . . . . . . . . . . . . . . . . . 465 157 308

Note: The Office of Management and Budget (OMB) defines metropolitan areas for purposes of collecting, tabulating, and publishing

federal data. Metropolitan area definitions result from applying published standards to Census Bureau data. As of the June 30, 1999, OMB

announcement, there were 258 Metropolitan Statistical Areas (MSAs) and 18 Consolidated Metropolitan Statistical Areas (CMSAs) comprised of 73 Primary Metropolitan Statistical Areas (PMSAs) in the United States. In addition, there were three MSAs, one CMSA, and three

PMSAs in Puerto Rico. Data are shown in this table for the 163 MSAs and CMSAs with 100 or more people in emergency and transitional

shelters.

Note: Areas with less than 100 people in emergency and transitional shelters are not separately identified.

Source: U.S. Census Bureau, Census 2000 unpublished tabulations.
14 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau

Table 5.

Population in Emergency and Transitional Shelters by Age for Places of 100,000 or More

Population With 100 or More People in Emergency and Transitional Shelters in the United

States and in Puerto Rico: 2000

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Area1 All ages Under 18 years 18 years and over

Alabama . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,177 258 919

Birmingham city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461 113 348

Huntsville city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 5 173

Mobile city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 18 153

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 558 144 414

Anchorage municipality1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314 58 256

Arizona . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,312 641 1,671

Glendale city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 102 12

Mesa city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206 95 111

Phoenix city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,170 202 968

Tucson city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303 102 201

Arkansas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 754 233 521

Little Rock city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 36 169

California . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,701 6,841 20,860

Bakersfield city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364 59 305

Berkeley city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139 28 111

Costa Mesa city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 30 77

El Monte city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 148 41

Escondido city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 47 91

Fresno city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 613 238 375

Fullerton city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291 81 210

Glendale city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 31 135

Inglewood city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349 43 306

Lancaster city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139 23 116

Long Beach city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554 136 418

Los Angeles city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,430 1,523 4,907

Modesto city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250 92 158

Oakland city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 696 191 505

Ontario city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361 115 246

Oxnard city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 84 269

Pasadena city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 17 97

Sacramento city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521 58 463

Salinas city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 46 91

San Bernardino city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 46 185

San Diego city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,683 382 1,301

San Francisco city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,539 142 1,397

San Jose city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 853 342 511

Santa Ana city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 652 161 491

Santa Rosa city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594 130 464

Stockton city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 84 285

Sunnyvale city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180 15 165

Colorado . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,281 385 1,896

Arvada city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 113 98

Colorado Springs city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 23 180

Denver city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,144 84 1,060

Fort Collins city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 13 150

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,291 543 1,748

Bridgeport city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 6 171

Hartford city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 547 77 470

New Haven city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292 134 158

Stamford city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 68 191

Delaware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 847 219 628

District of Columbia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,762 287 1,475

Washington city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,762 287 1,475

See footnotes at end of table.
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 15

Table 5.

Population in Emergency and Transitional Shelters by Age for Places of 100,000 or More

Population With 100 or More People in Emergency and Transitional Shelters in the United

States and in Puerto Rico: 2000—Con.

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Area1 All ages Under 18 years 18 years and over

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,766 1,751 5,015

Clearwater city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 58 160

Fort Lauderdale city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356 96 260

Hollywood city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302 31 271

Jacksonville city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303 31 272

Miami city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 822 169 653

Orlando city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579 137 442

St. Petersburg city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252 95 157

Tallahassee city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 27 193

Tampa city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294 118 176

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,774 886 3,888

Atlanta city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,653 140 1,513

Columbus city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 31 205

Savannah city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 26 127

Hawaii . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 747 246 501

Honolulu CDP1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348 84 264

Idaho . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 703 203 500

Boise City city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 63 152

Illinois . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,378 1,464 4,914

Aurora city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 18 100

Chicago city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,799 902 2,897

Peoria city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192 48 144

Rockford city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 30 149

Springfield city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 38 140

Indiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,384 615 1,769

Evansville city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 72 198

Fort Wayne city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 21 86

Gary city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 40 66

Indianapolis city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518 120 398

South Bend city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 46 164

Iowa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013 314 699

Cedar Rapids city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 44 83

Des Moines city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418 79 339

Kansas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 587 185 402

Wichita city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 35 91

Kentucky . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,626 326 1,300

Lexington-Fayette1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176 29 147

Louisville city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 880 148 732

Louisiana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,986 437 1,549

Baton Rouge city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 37 148

Lafayette city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 11 228

New Orleans city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 646 127 519

Shreveport city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 64 179

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 458 91 367

Maryland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,545 608 1,937

Baltimore city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 565 41 524

Massachusetts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,405 1,169 4,236

Boston city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,303 311 1,992

Cambridge city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334 52 282

Lowell city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144 52 92

Springfield city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 31 184

Worcester city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316 123 193

See footnotes at end of table.
16 Emergency and Transitional Shelter Population: 2000 U.S. Census Bureau

Table 5.

Population in Emergency and Transitional Shelters by Age for Places of 100,000 or More

Population With 100 or More People in Emergency and Transitional Shelters in the United

States and in Puerto Rico: 2000—Con.

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Area1 All ages Under 18 years 18 years and over

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,745 1,140 3,605

Ann Arbor city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 15 132

Detroit city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,669 306 1,363

Flint city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 56 180

Grand Rapids city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 111 293

Minnesota . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,738 790 1,948

Minneapolis city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,098 395 703

St. Paul city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 749 120 629

Mississippi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 572 202 370

Jackson city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 69 161

Missouri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,164 569 1,595

Kansas City city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 616 119 497

St. Louis city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 561 178 383

Springfield city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313 69 244

Montana . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477 109 368

Nebraska . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 913 281 632

Omaha city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 607 137 470

Nevada . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,553 188 1,365

Las Vegas city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590 62 528

Reno city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 49 195

New Hampshire . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523 120 403

Manchester city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174 27 147

New Jersey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,500 1,494 4,006

Jersey City city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297 106 191

Newark city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 786 150 636

Paterson city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350 73 277

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 934 181 753

Albuquerque city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 571 65 506

New York . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,856 10,465 21,391

Buffalo city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 68 34

New York city1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,132 9,287 17,845

Bronx borough1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,450 2,904 3,546

Brooklyn borough1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,048 2,482 4,566

Manhattan borough1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,652 2,224 7,428

Queens borough1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,761 1,575 2,186

Staten Island borough1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 102 119

Rochester city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311 36 275

Syracuse city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 27 191

North Carolina . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,579 643 2,936

Charlotte city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548 109 439

Durham city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303 62 241

Greensboro city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286 66 220

Raleigh city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559 63 496

Winston-Salem city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 46 292

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 15 163

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,224 1,096 4,128

Akron city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 36 95

Cincinnati city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 785 105 680

Cleveland city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,065 434 1,631

Columbus city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583 96 487

Dayton city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 45 120

Toledo city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216 70 146

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,478 396 1,082

Oklahoma City city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449 93 356

Tulsa city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 524 115 409

See footnotes at end of table.
U.S. Census Bureau Emergency and Transitional Shelter Population: 2000 17

Table 5.

Population in Emergency and Transitional Shelters by Age for Places of 100,000 or More

Population With 100 or More People in Emergency and Transitional Shelters in the United

States and in Puerto Rico: 2000—Con.

(For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2000/doc/sf1.pdf)

Area1 All ages Under 18 years 18 years and over

Oregon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,011 467 2,544

Eugene city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339 31 308

Portland city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,284 149 1,135

Salem city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297 64 233

Pennsylvania . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,463 1,732 3,731

Erie city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175 44 131

Philadelphia city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,324 744 1,580

Pittsburgh city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 46 133

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634 122 512

Providence city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334 42 292

South Carolina . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,528 329 1,199

Columbia city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265 16 249

South Dakota . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 203 211

Sioux Falls city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173 76 97

Tennessee . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,252 592 1,660

Chattanooga city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314 86 228

Knoxville city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206 44 162

Memphis city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 486 285 201

Nashville-Davidson1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 636 42 594

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,608 1,778 5,830

Amarillo city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 22 145

Arlington city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190 92 98

Austin city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 458 115 343

Corpus Christi city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272 24 248

Dallas city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,321 165 1,156

El Paso city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356 89 267

Fort Worth city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 602 73 529

Houston city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,310 323 987

Laredo city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 56 137

San Antonio city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 801 216 585

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,494 298 1,196

Salt Lake City city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595 218 377

Vermont . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 40 199

Virginia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,692 757 1,935

Alexandria city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 57 109

Arlington CDP1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 26 156

Newport News city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170 54 116

Norfolk city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 61 149

Richmond city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302 67 235

Washington . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,387 1,401 3,986

Seattle city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,458 569 1,889

Spokane city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285 73 212

Tacoma city. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294 57 237

Vancouver city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 55 110

West Virignia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 525 146 379

Wisconsin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,700 414 1,286

Madison city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 60 213

Milwaukee city . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 581 110 471

Wyoming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 73 197

Puerto Rico . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 586 209 377

San Juan zona urbana1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 35 124

1

Census 2000 showed 245 places in the United States with 100,000 or more population. They included 238 incorporated places (232 cities, 1 municipality,

and 1 town), 4 city-county consolidations with the county name included as part of the place name (Athens-Clarke County, GA; Augusta-Richmond County, GA; Lexington-Fayette, KY; and Nashville-Davidson, TN), and 7 census designated places (CDPs). CDPs are delineated for the decennial census and comprise densely settled concentrations of population that are identifiable by name, but which are not legally incorporated places. One of these CDPs is Arlington

CDP, VA, which is coextensive with Arlington County. In Puerto Rico, there are four places with 100,000 or more population, all of which are CDPs identified as

zonas urbanas. There are no incorporated places in Hawaii or Puerto Rico. The five boroughs of New York city are coextensive with the five counties that

constitute New York city: Bronx borough (Bronx County), Brooklyn borough (Kings County), Manhattan borough (New York County), Queens borough (Queens

County), and Staten Island borough (Richmond County). This table shows 154 places in the United States and one place in Puerto Rico with 100 or more

people in emergency and transitional shelters.

Note: Areas with less than 100 people in emergency and transitional shelters are not separately identified.

Source: U.S. Census Bureau, Census 2000, unpublished tabulations.
y and Transitional Shelter Population: 2000 USCENSUSBUREAU