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Linguistic occupation segregation along the U.S.–Mexico border: using the index of dissimilarity to measure inequality in employment among monolingual speakers and Spanish–English bilinguals

  • Maria Cristina Morales EMAIL logo
Published/Copyright: June 1, 2021

Abstract

The U.S.–Mexico border is a Latina/o concentrated region and Spanish–English bilingual society. While there are some indications of an economic advantage associated with Spanish–English bilingualism in regions with over-representations of Spanish-origin speakers, the degree of occupational linguistic segregation in such ethno-linguistic context is unknown. Based on data from the American Community Survey (ACS) Public Use Microdata Sample (PUMS) for 2018, this study calculates the occupational dissimilarity index (D) among monolingual-Spanish speakers, Spanish–English bilinguals, and monolingual-English speakers for cities located along the Texas–Mexico border and in the Houston metropolis. Findings show that the highest occupational segregation is found between monolingual-Spanish speakers and both monolingual-English and Spanish–English bilinguals. This indicates that the monolingual-Spanish workforce is occupationally segregated from those with fluent command of English. The lowest occupation dissimilarity indices are between Spanish–English bilinguals and monolingual-English speakers, indicating that these groups are approaching similar occupational placements. I conclude by highlighting an occupational advantage to Spanish–English bilingualism, but only in border cities characterised by concentrations of Spanish-origin speakers. In the non-border city of Houston, being Spanish–English bilingual is not enough to experience occupational upward mobility.


Corresponding author: Maria Cristina Morales, Department of Sociology and Anthropology, University of Texas, El Paso, USA, E-mail:

Funding source: Leverhulme Trust

Award Identifier / Grant number: SG162279

Funding source: British Academy

Award Identifier / Grant number: SG162279

Appendix A: Public-use micro-data areas in the study, ACS-PUMS 2018

CityPUMA area
El Paso CityEl Paso City (East)
El Paso City (Southeast)
El Paso City (Central)
El Paso City (North)
El Paso City (Northwest)
Laredo CitySouth Texas Development Council (North)—Webb County—Laredo City (Central)
South Texas Development Council (North & East)—Webb County—Laredo City (Central)
McAllen-Edinburg-Mission CityHidalgo County (North Central)—Edinburg City
Hidalgo County (Central)—McAllen City
Hidalgo County (Southwest)—Mission City
Houston CityHouston City (North Central)
Houston City (East Central)
Houston City (South Central)
Houston City (West Central)
Houston City (Northeast)
Houston City (North) & Aldine
Houston City (North) South of Aldine
Houston City (North) West of Aldine
Houston City (Northwest)
Houston City (West)
Houston City (Southwest)
Houston City (South)
Houston City (Southeast)
Harris County (Northeast)–Houston City (Far Northeast)
Harris County (North)–Houston City (North)
Harris County (West)–Houston City (West)
Houston City (West)–South of I-10 & West of TX-6
Houston City (West)–East of TX-6 and West Beltway TX-8
Houston City (West)–Westpark Tollway
Houston City (Southwest)–East of TX-6 and West Beltway TX-8

Appendix B: Sample size of workforce in selected linguistic categories by city, sample sizes

Monolingual English (N)Monolingual Spanish (N)Spanish–English Bilingual (N)*
El Paso26,69413,3691,330,002
Laredo4,24313,14969,564
McAllen11,27716,883100,038
Brownsville4,92010,94968,896
Houston53,05676,965228,072
  1. Source: American Community Survey one year estimates 2018.

Appendix C: Demographic characteristics

Pop. size% Latina/o% Non-Latina/o Whitea
El Paso844,72382.911.6
Laredo275,91095.5*
McAllen865,93992.46.0
Brownsville423,90889.8*
Houston6,997,38437.635.5
  1. Source: American Community Survey 1 year estimates 2018. aWhite alone, not multi-racial. *Estimates not available due to small sample sizes.

Appendix D: Gross domestic product (GDP) (thousands of current dollars), 2018

All industry totalTop three industries
El Paso$32,254,478Private Service ($18,584,774)Government ($9,245,458)Finance, Insurance, Real Estate, Rental & Leasing ($5,012,199)
Laredo$11,265,029Private Service ($6,075,344)Private Good Producing ($3,112,912)Natural Resources & Mining ($2,787,377)
McAllen21,465,117Private Service ($14,268,746)Government ($4,875,653)Trade ($3,354,361)
Brownsville11,378,276Private Service ($1,983,021)Government ($2,505,168)Finance, Insurance, Real Estate, Rental & Leasing ($1,983,021)
Houston498,007,948Manufacturing ($86,505.887)Trade ($83,062,383)Finance, Insurance, Real Estate, Rental & Leasing ($74,874,477)
  1. Source: Bureau of Economic Analysis, 2018.

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Received: 2020-05-26
Accepted: 2021-02-11
Published Online: 2021-06-01
Published in Print: 2021-07-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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