The Impact of the Non-Native Hispanic Community
On the Economy of Clark County (Nevada)
Mary Riddel, Ph.D.
R. Keith Schwer, Ph.D.
February 2003
In collaboration with:
Reynaldo L. Martinez Institute for Research and Leadership, Las Vegas, Nevada
Univision – Las Vegas, Nevada
Center for Business and Economic Research of
The University of Nevada Las Vegas
The Mexican Consulate – Las Vegas, Nevada
Partial funding provided by Harrah’s, Las Vegas, Nevada
Executive Summary
This study was undertaken through a collaborative effort of several sectors of
the Nevada community. These included business, government and non profit and
were Univision (a communications company serving Clark County, the Mexican
Consulate providing for the needs and services of Mexican nationals in Nevada,
the Reynaldo L. Martinez Institute for Research and Leadership, and the Center
for Business research at UNLV. This study is reflective of the need for better
information by public and private entities working together to provide such
information to the general public.
Many pundits including television commentators, talk show hosts, correspondents,
government officials, political office holders and those seeking political
office discuss weekly the impact of immigrants-particularly Latino immigrants on
the economy and society of the United States. Often these comments have little
foundation in fact or a basis in any studies of the real impact of this
population. Those studies that have been undertaken have focused either on other
areas of the United States or are very general in their scope. This study hopes
to provide concrete and specific information on the actual impact of non native
Hispanics (Latinos) in Clark County to serve as foundation for future policy
initiatives and informed commentary and decisions.
The 2000 Census of Population estimated that 22 percent of the population of
Clark County considered themselves of Hispanic descent. Of those, almost 80
percent are recent immigrants to the United States. These recent immigrants work
in a variety of fields throughout Clark County and their spending, undoubtedly,
has a large and measurable impact on the economy of Clark County and tax
collections at the federal, state, and local level. The purpose of this study is
to estimate the economic impact, in terms of employment, output, and tax
revenues of the non-native Hispanic residents of Clark County.
Using Census data and data from an in-person survey of over 600 non-native
Hispanics in the county, information was compiled about employment, wages,
household income, age, and other demographic variables. According to the 2000
Census, there are 156,083 non-native Hispanic residents over 18 in Clark County.
Using the survey results, we estimate that annual wages for non-native-born
Hispanics in Clark County total $2,619,547,511. After feeding this and other
data into the Implan economic impact model, we estimate that the total value of
the output impact (both directly and indirectly) attributable to the non-native
Hispanic community is over $15.6 billion. Industries that are particularly
sustained are services ($5.3 billion), construction ($4.7 billion), and retail
and wholesale trade ($3 billion). For an initial spending impact of just over
$10 billion, output multiplier of the non-native Hispanic population is 1.55.
Direct and indirect employment impacts of the non-native Hispanic population are
large as well. The industry most affected by the non-native Hispanic presence is
services, where 81,287 nonnative Hispanics are either directly or indirectly
attributable to nonnative Hispanic residents. Other important industries are
retail and wholesale trade, accounting for 47,883 additional jobs, and the
construction sector, accounting for another 47,853 jobs. The total employment
impact is 204,885, accounting for over one-fourth of the total employment in
Clark County. With 204,885 jobs created from an initial impact of 131,444
implies an employment multiplier of 1.6. This means that every job filled by a
non-native Hispanic helps create 0.6 additional jobs in the Clark County
economy.
The significant output and employment impacts resulting from the earning and
spending of non-native Hispanics mean that state and local revenues reap
benefits. In a state such as Nevada where there is no income tax and where
budgets are very dependent on sales taxes and direct purchase taxes, the impact
of Hispanics in adding to state revenues is very significant. State and local
government budgets are also winners. Revenues are spilt between many sources.
The main public beneficiaries of the spending are the sales and use taxes ($270
million), property taxes ($182 million), and gaming revenue ($103 million).
Summing these large items with the list of smaller revenue sources indicates
that state and local budgets are enriched by $829 million arising from the
direct, indirect, and induced production of non-native Hispanics.
I. Introduction
The 2000 Census estimated that 22 percent of the population of Clark County
consider themselves of Hispanic descent. Of those, almost 80 percent are
immigrants to the United States. These recent immigrants work in a variety of
fields throughout Clark County and their spending, undoubtedly, has a large and
measurable impact on the economy of Clark County and tax collections at the
federal, state, and local level. Despite the importance of the non-native
Hispanic community to the economy of southern Nevada, there are no recent
studies that examine the economic impacts, in terms of output employment, and
contribution to tax revenues of this diverse group.
This report presents an economic portrait of the non-native Hispanic population
in Clark County and estimates their total economic impact on Clark County. Using
data from an in-person survey of over 600 non-native Hispanics in the county, we
question respondents about their employment, wages, household income, age, and
other demographic variables. Using these data and the economic impact model
Implan, we are able to estimate the total economic impact of immigrant Hispanics
in Clark County.
II. Survey Results and Model Assumptions
To estimate the total economic impact of Hispanic immigrants on the economy of
southern Nevada, it is necessary to have key information relating to their
income and spending patterns. To obtain this information, the Center for
Business and Economic Research, in conjunction with the Reynaldo L. Martinez
Institute for Research and Leadership, designed a 21-question survey,
administered in Spanish and English, that queried non-native Hispanic residents
of Clark County about their employment, wages, spending habits, and household
characteristics. The survey also contained questions about English fluency, age,
education level, and ownership of an automobile or home. We also asked
respondents to report any abuse they felt they may have suffered, in general
terms, because of their Hispanic origin.
The in-person survey was administered at a variety of local sites by the
Reynaldo L Martinez Institute for Leadership and Research including recreation
centers, neighborhoods, and the 2002 Cinco de Mayo celebration in Lorenzi Park.
Surveyors were asked to only question Spanish-speaking Clark County residents
born outside of the U.S. In all, 605 people were surveyed. Table 1 gives a
breakdown of their country of origin. Almost three-fourths of the respondents
were born in Mexico. The Central American countries, Guatemala and Honduras,
accounted for another 8 percent of those surveyed and the remaining came from
other Central and South American countries.
The data revealed that many of those surveyed lacked advanced English-language
skills although some English proficiency was demonstrated (see Table 2). Of
those surveyed, 21 percent could not speak, read, or understand English. About
half of the respondents reported they could understand English but not speak it.
Thirteen percent were conversation fluent but lacked reading skills, whereas the
remaining 17 percent were fluent in reading, writing, and conversation.
Table 3 gives the distribution of education for the survey respondents. The
education level of the respondents was limited. Half of the respondents have not
finished high school and 20 percent have less than a 6th grade education.
Twenty-nine percent of females and 32 percent of males have completed high
school. About 7 percent have completed college degrees.
Table 4 gives personal consumption and household characteristics of the sample
respondents. Fifty-eight percent of the respondents are married. According to
the survey, they are less likely to own their own homes than the average Clark
County resident. The 2000 Census revealed that over 59.1 percent of Clark County
households own their own home, whereas only 26.4 percent of those surveyed could
make that claim. Fifty-nine percent own an automobile and 52 percent report they
have a driver’s license.
Incomes for the group were also below average, in part, because of low wages in
the occupations were they found employment. Table 5 gives a breakdown of
employment for the group by industry and Table 6 provides the breakdown for
females and males, respectively. The dominant industries for female Hispanics
are non-hotel services (24.6 percent) and hotel services (13.8 percent). This
percentage suggests a higher percent of hotel employment for female Hispanics
than males. Wholesale and retail trade account for another 8.5 percent of women
employed. Men are primarily employed by the construction sector (34.3 percent)
and the hotel sector (22.4 percent). Nonhotel services and landscape/gardening
also employ significant percentages of Hispanic males, accounting for 9.7 and
5.2 percent, respectively. Notably, the reported unemployment rate, at 1.5
percent, for men is very low. In contrast, 39.2 percent of women reported they
were unemployed. This figure may be somewhat misleading because we did not have
a specific category available for homemaker. Some of the women that were
categorized as “unemployed” may not be in the labor market and, as such, do not
fit the official definition of unemployed.
Table 7 gives the income distribution of the survey respondents. At less than
$35,000, the median household income is well below the median household income
for all households in Clark County of $44,616. This is due, at least in part, to
the predominance of employment in relatively low-wage service sectors. However,
the respondent wages tended to be below the mean wage for the industry $30,709
annually. Table 8 compares annual wages, by industry, as reported by the survey
respondents and the industry average wage for Clark County. Hispanics in the
survey earned considerably less in almost every industry than the average
industry wage for that industry. Only in education and finance, insurance, and
real estate did the survey respondents exceed the average annual income.
However, only 9 people work in finance, insurance, and real estate and 8 in
education, so it is likely that the sample size is too small to make statistical
comparisons. However, for industries including construction, hotel, nonhotel
services, landscape and gardening, trade, and restaurants we can infer that
Hispanic wages are lower than the county average.
The wage disparity may be attributed to several underlying factors. First,
immigrant Hispanics with poor English skills and limited education may be less
productive than their more educated counterparts and are, therefore, limited to
lower-paying employment within each industry. Second, those working without
documentation may be willing to accept lower wages than documented aliens.
Finally, discrimination could be a factor. Indeed, according to Table 12, many
of the respondents reported suffering wage and salary discrimination. Of those
surveyed, 13.6 percent reported they had been discriminated against at work,
13.4 percent said they had suffered salary discrimination, and 6.6 percent said
they had had wages withheld or not paid altogether.
Tables 9, 10, and 11 give distributions for the total number of people in the
household, the total number of workers in the household, and the total number of
children in the household, respectively. Non-native Hispanics in southern Nevada
tend to form larger households than the county average. The average household
size for all households in Clark County is 2.65 compared to 3.23 for the survey
respondents. Seventy-six percent of the households have three or fewer workers.
About one-half have one child or none. A relatively large proportion, 12
percent, have four or more children in the household.
Near the end of the survey, we queried respondents about whether they thought
they have suffered discrimination or abuse because of their ethnicity and, if
so, what type of abuse. The results are reported in Table 12. Thirty percent
reported that they felt they have been abused or discriminated against because
of their Hispanic ethnicity. Verbal abuse was the most common, with over 17
percent reporting instances of verbal abuse. Work and salary discrimination took
second place with 27 percent reporting they have suffered this type of
discrimination. Less prevalent were salaries or wages not paid (6.6 percent),
physical abuse, (5.6 percent), and other not listed (1.5 percent).
Finally, we asked respondents whether they had completed all of the paperwork
requirements for U.S. citizenship (see Table 13). About 41 percent of women and
36 percent of men had completed all of the requirements for citizenship by the
time they were surveyed. Overall, 40 percent of the non-native Hispanics that
answered the question had obtained their citizenship.
Given the information on wages, occupation, and total population counts, we now
turn to estimating the economic impact of the non-native Hispanic community on
the economy of southern Nevada. The next section describes the assumptions,
data, and modeling techniques used. Following that, we give the economic
impacts, in terms of output, employment, and tax revenues.
III. Economic Impact
To estimate the total economic impact of non-native born Hispanics on the Clark
County economy, we use the Implan model of economic impact. ( For the model, we
need information on the total number of non-native Hispanics in the county, by
age and gender, their income, occupation, and spending habits. We use this
information to estimate the spending and employment characteristics of the
nonnative Hispanic population. Some of this information was collected in the
survey and some we estimate using Census statistics for Clark County.
According to the U.S. census, 301,830 Hispanics lived in Clark County in March
2000. This accounted for 22 percent of the county population. Of those, 18
percent where born in the U.S., 52 percent were naturalized citizens, and the
remaining were noncitizens (see Table 14). For our analysis, we are interested
in the impact of non-native Hispanics on the local economy, a total of 247,751.
Using the Census age distribution, we estimate that 63 percent of these people
are over 18, for a total of 156,083 people.
We allocate the people to industry categories according to the percentages from
the survey information. We assume that each worker makes the average industry
wage reported in the survey. By assumption, unemployed and housewives do not
earn wages. The Implan model does not distinguish between wages for male and
female workers, so each worker is assigned wages according to the overall sample
industry wage. Using this method, we estimate that annual wages for
non-native-born Hispanics in Clark County total $2,619,547,511.
We estimate the economic impact using the Implan model. The total number of
jobs, by industry category, enter the wages through the appropriate employment
sector.
Model Results. Given the assumptions about employment and wages, we estimate the
economic impact of the non-native Hispanic community. The final impact may be
broken down into three components: 1) the direct impact accounts for the
employment of and wages paid to non-native Hispanics in Clark County 2) indirect
impacts, created by the multiplier effect, whereby direct spending re-circulates
through the economy creating expenditures over and above those directly
attributable to Hispanic employment and wages. Indirect impacts may be best
explained by an example. New residents in Clark County mean increased demand for
education, food, housing, entertainment, and other spending that would not have
taken place. Therefore, one of the indirect impacts of the non-native Hispanic
population will be new jobs in the construction sector as additional housing is
added to meet increased demand. Although the wages for non-native Hispanics are
considered as direct impacts, new construction employment, new teachers, and new
retail employment for those serving the Hispanic community are considered
indirect impacts. The multiplier describes the proportional increase in indirect
economic activity generated by direct expenditures. An economic multiplier of 2
means that for each dollar of expenditure directly attributable to non-native
Hispanics, an additional dollar’s worth of economic activity is created in the
economy.
The third category of impacts is induced impacts. Induced impacts, or forward
linkages, are a result of a “third round” multiplier effect. They represent the
response from local industries caused by new household income expenditures
arising from the indirect effects.
The total economic impact is the sum of the direct, indirect, and induced
effects. It can be expressed in two forms. The output form accounts for all the
goods and services produced in the economy because of the non-Hispanic
population directly, indirectly, or induced. We can also express the economic
impact in terms of employment also using direct, indirect, and induced
employment. Finally, we can calculate the taxes that accrue because of the
additional production and wages paid to the non-native Hispanic population.
These fiscal impacts are estimated at the federal, state, and local level.
Our estimates, reported in tables 15 through 17 reveal that the non-native
Hispanic population is critical to the economy of Southern Nevada as measured by
the value of output. The total value of the output impact is over $15.6 billion.
Industries that are particularly sustained are nonhotel services ($5.3 billion),
construction ($4.7 billion), and retail and wholesale trade ($3 billion). For an
initial spending impact of just over $10 billion, output multiplier is 1.55.
Employment impacts of the non-native Hispanic population are large as well. The
survey results combined with the Census data infer that there are an estimated
131,444 non-native Hispanic employed wage-earning adults in Clark County. This
direct employment impact causes induced and indirect employment totaling an
additional 73,441 jobs. The industries most affected by the non-native Hispanic
presence are the services industry, where 81,287 jobs are created, retail and
wholesale trade, accounting for 47,883, and the construction industry, giving
another 47,853 jobs. The total employment impact is 204,885, accounting for over
one-fourth of the total employment in Clark County.
With such large employment and output effects, it is clear that the fiscal
impact of the non-native employment and output effects must be quite large.
According to the model, the federal government gains $1.4 billion in taxes from
the total employment and output effects (including all production and employment
whether direct, indirect, or induced) (See Table 17). Much of that comes in the
form of federal income taxes, and social security tax collected from employers
and employees. Corporate profits and excise taxes each help put more than $100
million in the federal coffers.
State and local government budgets are also winners. Revenues are spilt between
many sources. The main public beneficiaries of the spending are the sales and
use taxes ($270 million), property taxes ($182 million), and gaming revenue
($103 million). Summing these large items with the list of smaller revenue
sources indicates that state and local budgets are enriched by $829 million
arising from the direct, indirect, and induced production of non-native
Hispanics.
IV. Conclusion
The survey results reveal a diverse group of people that make up the southern
Nevada Hispanic community. They come from Mexico, Guatemala, and other countries
in Central and South America. Many have either no or very basic English skills
and less than high school education. They work a variety of jobs, from
construction to education. Their wages and household incomes are generally lower
than the Clark County average. To be sure, reflective of educational and work
experience backgrounds, non-native Hispanic men are less likely to be unemployed
than the average Clark County resident.
According to the Implan model, non-native Hispanics are an essential part of the
local economy, helping to create over 200,000 jobs, $15.5 billion in output, and
supporting state and local revenues by $829 million. These are large numbers,
but the results are certainly not surprising. The Hispanic community accounts
for 22 percent of the Clark County population and the majority of these people
are recent immigrants. They work, earn wages, and purchase food, automobiles,
and homes. By doing so, they contribute significantly to the total economic
activity in Clark County.
Tables and Charts
Table 1. Country of Origin for Survey Respondents
|
Country of Origin |
|||
|
Country |
Freq. |
Percent |
Cumulative |
|
Brazil |
1 |
0.2% |
0.2% |
|
Costa Rica |
1 |
0.2% |
0.3% |
|
Panama |
1 |
0.2% |
0.5% |
|
Paraguay |
1 |
0.2% |
0.7% |
|
Uruguay |
1 |
0.2% |
0.8% |
|
Ecuador |
2 |
0.3% |
1.2% |
|
Venezuela |
2 |
0.3% |
1.5% |
|
Argentina |
3 |
0.5% |
2.0% |
|
Puerto Rico |
3 |
0.5% |
2.5% |
|
Other |
5 |
0.8% |
3.3% |
|
Nicaragua |
6 |
1.0% |
4.3% |
|
Peru |
6 |
1.0% |
5.3% |
|
Colombia |
8 |
1.3% |
6.6% |
|
Honduras |
15 |
2.5% |
9.1% |
|
Cuba |
16 |
2.6% |
11.7% |
|
Guatemala |
33 |
5.5% |
17.2% |
|
El Salvador |
55 |
9.1% |
26.3% |
|
Mexico |
446 |
73.7% |
100.0% |
|
Total |
605 |
100.0% |
|
Table 2. Self-Reported Fluency in English
|
English Fluency |
|||
|
Level |
Freq. |
Percent |
Cum. |
|
Cannot Understand, Speak or Read |
126 |
21.07 |
21.07 |
|
Some Understanding |
291 |
48.66 |
69.73 |
|
Can Speak and Understand But Cannot Read |
79 |
13.21 |
82.94 |
|
Can Speak, Understand, and Read |
98 |
16.39 |
99.33 |
|
English is First Language |
4 |
0.67 |
100 |
|
Total |
598 |
100 |
|
Table 3. Level of Education: Females and Males
|
Female |
|||
|
Education level |
Number |
Percent |
Cum. |
|
Less than 6th Grade |
27 |
20.0 |
20.0 |
|
Some High School |
42 |
31.1 |
51.1 |
|
High School Graduate |
39 |
28.9 |
80.0 |
|
Some College |
15 |
11.1 |
91.1 |
|
Bachelor's Degree |
10 |
7.4 |
98.5 |
|
Post Graduate Studies |
2 |
1.5 |
100.0 |
|
Total |
135 |
100.0 |
|
|
|
|
|
|
|
Male |
|||
|
Education level |
Number |
Percent |
Cum. |
|
Less than 6th Grade |
29 |
21.8 |
21.8 |
|
Some High School |
35 |
26.3 |
48.1 |
|
High School Graduate |
42 |
31.6 |
79.7 |
|
Some College |
17 |
12.8 |
92.5 |
|
Bachelor's Degree |
8 |
6.0 |
98.5 |
|
Post Graduate Studies |
2 |
1.5 |
100.0 |
|
Total |
133 |
100.0 |
|
Table 4. Personal Consumption and Household Characteristics of the Sample
Respondents
|
Personal and Consumption Characteristics |
||
|
|
Own |
Rent |
|
Do you own your home or rent? |
26.4% |
73.6% |
|
|
Yes |
No |
|
Are you married or single? |
58.1% |
41.9% |
|
Do you own an automobile? |
58.8% |
41.2% |
|
Do you have a driver's license? |
51.7% |
48.3% |
Table 5. Percent of Survey Respondents Employed in Selected Industries
|
Percent of Workers in Selected Industries: All Survey Sample |
|||
Industry |
Frequency |
Percent |
Cum. |
|
Construction and Mining |
179 |
29.59% |
29.59% |
|
Finance, Insurance & Real Estate |
9 |
1.49% |
31.07% |
|
Transportation |
5 |
0.83% |
31.90% |
|
Trade |
51 |
8.43% |
40.33% |
|
Hotel |
79 |
13.06% |
53.39% |
|
Education |
8 |
1.32% |
54.71% |
|
Other Services |
118 |
19.5% |
69.75% |
|
Landscape & Gardening |
34 |
5.62% |
75.37% |
|
Unemployed |
78 |
12.89% |
88.26% |
|
Other Services |
27 |
4.46% |
92.73% |
|
Restaurant |
29 |
4.79% |
97.52% |
|
Housewife |
12 |
1.98% |
99.50% |
|
Government |
3 |
0.50% |
100.00% |
|
Total |
605 |
100.00% |
|
Table 6. Percent of Survey Respondents Employed in Selected Industries: Males
and Females
|
|
Females |
Males |
|
Industry |
Percent |
Percent |
|
Construction and Mining |
2.3% |
34.3% |
|
Transportation |
0.0% |
3.7% |
|
Finance, Insurance & Real Estate |
0.8% |
1.5% |
|
Trade |
8.5% |
13.4% |
|
Hotel |
13.8% |
22.4% |
|
Education |
3.8% |
1.5% |
|
Other Services |
24.6% |
9.7% |
|
Landscape & Gardening |
0.0% |
5.2% |
|
Unemployed |
39.2% |
1.5% |
|
Government |
0.8% |
0.0% |
|
Restaurant |
3.8% |
6.7% |
|
Housewife |
2.3% |
0.0% |
|
Total |
100.0% |
100.0% |
Table 7. Distribution of Household Income for Survey Respondents
|
Household Income Distribution |
|||
|
Income |
Number |
Percent |
Cum. |
|
Less than $15,000 |
102 |
18.35 |
18.35 |
|
$15,000 to $34,999 |
192 |
34.53 |
52.88 |
|
$35,000 to $54,999 |
132 |
23.74 |
76.62 |
|
$55,000 to $74999 |
88 |
15.83 |
92.45 |
|
$75,000 to $99,000 |
34 |
6.12 |
98.56 |
|
$100,000 or more |
8 |
1.44 |
100 |
|
Total |
556 |
100 |
|
Table 8. Annual Income by Industry: Hispanic Survey Respondents vs Clark County
Annual Average
I
|
Income Comparison By Industry: Hispanics vs All Clark County |
||
|
Industry |
Respondent Annual Average |
Clark County Annual Average |
|
Construction and Mining |
23,495 |
40,618 |
|
Transport, Communications, Utilities |
30,300 |
38,127 |
|
Finance, Insurance,& Real Estate |
42,720 |
21,210 |
|
Trade |
16,671 |
31,858 |
|
Hotel |
19,462 |
34,037 |
|
Education |
25,954 |
16,550 |
|
Services |
15,502 |
30,857 |
|
Landscaping and Gardening |
14,686 |
21,905 |
|
Govt |
22,400 |
35,027 |
|
Restaurant |
14,466 |
16,220 |
Table 9. Household Size Distribution of Survey Respondents
Number of People in Household
Number of People in Household Frequency Percent Cum.
|
Number of People in Household |
|||
|
Number of People in Household |
Frequency |
Percent |
Cum. |
|
1 |
28 |
4.7% |
4.7% |
|
2 |
205 |
34.7% |
39.5% |
|
3 |
141 |
23.9% |
63.4% |
|
4 |
126 |
21.4% |
84.7% |
|
5 |
55 |
9.3% |
94.1% |
|
6 |
24 |
4.1% |
98.1% |
|
7 |
6 |
1.0% |
99.2% |
|
8 |
3 |
0.5% |
99.7% |
|
14 |
2 |
0.3% |
100.0% |
|
Total |
590 |
100.0% |
|
Table 10. Household Size Distribution: Number of Workers per Household
|
Number of Workers in Household |
|||
|
Number of Workers in Household |
Frequency |
Percent |
Cum. |
|
0 |
6 |
1.01 |
1.01 |
|
1 |
131 |
21.98 |
22.99 |
|
2 |
191 |
32.05 |
55.03 |
|
3 |
123 |
20.64 |
75.67 |