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Survey of Doctorate Recipients, 2019

NSF 21-320   |   April 27, 2021
  |   Daniel Foley

General Notes

This report presents data from the 2019 Survey of Doctorate Recipients (SDR). The SDR is a biennial panel survey that collects longitudinal data on demographic and general employment characteristics of individuals who have received a research doctorate in a science, engineering, or health field from a U.S. academic institution. Starting shortly after they receive their doctorate, sampled individuals are eligible for inclusion in the survey until they reach age 76. The SDR sample is augmented each cycle with new samples of the most recent cohorts of science, engineering, and health doctorate recipients, identified by the Survey of Earned Doctorates, an annual census of research doctorates awarded in the United States.

The National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation is the primary sponsor of the SDR, with additional funding provided by the National Institutes of Health.

The published tables provide information on the number and median salaries of doctoral scientists and engineers by field of doctorate and occupation; by demographic characteristics, such as sex, race, ethnicity, citizenship, and age; and by employment-related characteristics, such as sector of employment, median annual salary, and labor-force rates.


Data Tables

Doctoral scientists and engineers

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Employed doctoral scientists and engineers

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Occupations of doctoral scientists and engineers

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Median annual salaries of full-time employed doctoral scientists and engineers

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Technical Notes

Survey Overview

Purpose. The Survey of Doctorate Recipients (SDR), conducted by the National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation (NSF), provides data on the characteristics of science, engineering, and health (SEH) doctorate degree holders. A research doctorate is a doctoral degree that (1) requires the completion of an original intellectual contribution in the form of a dissertation or an equivalent culminating project (e.g., a published manuscript) and (2) is not primarily intended as a degree for the practice of a profession. The most common research doctorate degree is the PhD. The SDR samples individuals who have earned an SEH research doctorate from a U.S. academic institution and are less than 76 years of age. The SDR provides data useful in assessing the supply and characteristics of the nation’s SEH doctorates employed in educational institutions, private industry, and professional organizations, as well as federal, state, and local governments.

The SDR is designed to provide demographic, education, and career history information about individuals who earned a research doctorate in an SEH field from a U.S. academic institution and to complement another survey of scientists and engineers conducted by NCSES: The National Survey of College Graduates (NSCG, These two surveys share a common reference date, and they use similar questionnaires and data processing guidelines.

Some of the education and demographic information in the SDR come from the Survey of Earned Doctorates (SED,, an annual census of research doctorates earned in the United States. The SED provides the sampling frame for the SDR through its annual update of the longstanding Doctorate Records File (DRF), a cumulative listing of all U.S.-earned doctorate recipients dating back to 1920.

These technical notes provide an overview of the 2019 SDR. Complete details are provided in the 2019 SDR methodology report, available upon request from the SDR Survey Manager.

Data collection authority. The information collected in the SDR is solicited under the authority of the National Science Foundation Act of 1950, as amended, the America COMPETES Reauthorization Act of 2010, and the Confidential Information Protection and Statistical Efficiency Act of 2002 (CIPSEA). The Office of Management and Budget (OMB) control number is 3145-0020 and expires on 31 August 2022.

Survey contractor. Westat, Rockville, MD.

Survey sponsor. The SDR is sponsored by NCSES with support from the National Institutes of Health.

Major changes to the recent cycle. No major changes were made to the substantive content in the 2019 SDR. However, the 6-month data collection period included a starting phase that emphasized participation with a Web-based response.

Key Survey Information

Frequency. Biennial.

Initial survey year. 1973.

Reference period. The week of 1 February 2019.

Response unit. Individuals with an SEH research doctorate from a U.S. academic institution.

Sample or census. Sample.

Population size. Approximately 1,148,800 individuals; 1,008,900 residing in the United States and 139,900 residing outside the United States.

Sample size. 120,000 individuals.

Key variables.

  • Demographics (e.g., age, race, sex, ethnicity, and citizenship)
  • Educational history
  • Employment status
  • Field of degree
  • Occupation

Survey Design

Target population. The SDR target population includes individuals that meet the following criteria:

  • Earned an SEH research doctorate from a U.S. academic institution prior to 1 July 2017.
  • Are not institutionalized or terminally ill on 1 February 2019.
  • Are less than 76 years of age as of 1 February 2019.

Sampling frame. The SDR uses the DRF, constructed from the annual SED, as its sampling frame. Based on the information available in the DRF, individuals who did not meet the age criterion were dropped from the frame. For those individuals who completed more than one SEH research doctorate, only the information on the first degree earned was used for sampling eligibility.

Sample design. The SDR uses a fixed panel design with a sample of new doctoral graduates added to the panel in each biennial survey cycle. For the 2019 SDR, all 2015 and 2017 sampled members who remained age eligible were retained for the 2019 cycle. The 2015 sampled members who did not respond in both the 2015 and 2017 surveys were dropped from the 2019 sample. As with prior survey cycles, a sample of 10,000 new graduates who had earned their degrees from 1 July 2015 to 30 June 2017 was added. An additional sample of 14,564 SEH doctoral degree holders eligible for the 2015 sample but not previously selected was also added to support a revised sample stratification design. The revised stratification cells defined by detailed fields of study, gender, and underrepresented minority indicator were implemented to strengthen reporting for small fields and minority groups. The new graduate sample and the supplemental sample both were selected under the revised design.

The resulting 2019 SDR sample of 120,000 cases consisted of 95,436 age-eligible cases from the 2017 SDR, 14,564 from the 2015 supplemental sample, and 10,000 cases from the DRF’s new cohort of graduates from academic years 2016 and 2017. The overall sampling rate was about 1 in 10 (11.1%), although sampling rates varied across strata.

Data Collection and Processing Methods

Data collection. The data collection period lasted approximately 6 months. The SDR used a trimodal data collection approach: self-administered online survey (Web), self-administered paper questionnaire (via mail), and computer-assisted telephone interview (CATI). Individuals in the sample generally were started in the Web mode depending on available contact information. After an initial survey invitation via postal mail and e-mail, the data collection protocol included sequential contacts by postal mail, telephone, and e-mail that ran throughout the data collection period. At any time during data collection, sample members could choose to complete the survey using any of the three modes. Nonrespondents to the initial survey invitation received follow-up with alternate survey modes.

Quality assurance procedures were in place at each data collection step (address updating, printing, package assembly and mailing, questionnaire receipt, data entry, coding, CATI, and post-data collection processing). Active data collection ended in March 2020. The online survey closed 3 April 2020 and receipting of hard-copy questionnaires ended on 20 April 2020.

Mode. About 93% of the participants completed the survey through the Web, 5% through mail, and 2% through CATI. Web participation increased from 84% in the 2017 cycle because of an emphasis on Web-based participation in the starting phase of data collection.

Response rates. Response rates were calculated on complete responses, that is, from instruments with responses to all critical items. Critical items are those containing information needed to report labor force participation, including employment status, job title, and job description, as well as location of residency on the reference date. The overall unweighted response rate was 68%; the weighted response rate was 69%. These response rates are comparable to those achieved in the 2017 SDR.

Of the 120,000 persons in the 2019 SDR sample, 80,882 completed the survey. Among those who completed the survey, 73,083 respondents were residing in the United States on the survey reference date and contributed to the U.S. SEH doctoral population estimates. An additional 7,799 persons completed the survey, but they were residing outside of the United States on the survey reference date. This group contributed to the estimates of the internationally residing U.S.-trained SEH doctoral population.

Data editing. Complete 2019 response data had initial editing rules applied relative to the specific mode of capture to check internal consistency and valid range of response. The Web and CATI instruments included automated internal editing controls where appropriate. Mail questionnaire data were scanned, and data were captured via Optical Mark Recognition (OMR) and Optical Characters Recognition (OCR). The OMR and OCR technology also applied editing controls that flagged unclear responses or responses that did not fit the expected response type (e.g., multiple responses in a select-one type question). Additionally, the system flagged any paper questionnaires that were missing critical items (working status, job title, duties and responsibilities, and residency in the United States or elsewhere). Telephone callbacks were used to obtain additional information for incomplete mail responses. Responses from the three separate modes were merged into a single database and fully harmonized prior to subsequent coding, editing, and cleaning necessary to create an analytical database.

Following established NCSES guidelines for coding SDR and NSCG survey data, including verbatim responses, staff were trained in conducting a standardized review and coding of occupation and education information, “other/specify” verbatim responses, state and country geographical information, and postsecondary institution information. For standardized coding of occupation (including autocoding), the respondent's reported job title, duties and responsibilities, and other work-related information from the questionnaire were reviewed by specially trained coders who corrected known respondent self-reporting errors to obtain the best occupation codes. The education code for the field of study of a newly earned degree or for the first bachelor's degree earned if not reported previously was assigned solely based on the verbatim response for that degree field.

Imputation. Item nonresponse for key employment items—such as employment status, sector of employment, and primary work activity—ranged from 0.0% to 2.7%. Nonresponse to questions about income was higher: nonresponse to salary was 13.3%, and nonresponse to earned income was 15.4%. Personal demographic data, such as sex, marital status, citizenship, ethnicity, and race, had variable item nonresponse rates, with sex at 0.0%, birth year at 0.1%, marital status at 9.4%, citizenship at 5.7%, ethnicity at 0.5%, and race at 0.9%. Item nonresponse was addressed using random imputation and hot- deck imputation methods.

Logical imputation often was accomplished as a part of editing. In the editing phase, the answer to a question with missing data was sometimes determined by the answer to another question. In some circumstances, editing procedures found inconsistent data that were blanked out and therefore subject to statistical imputation. During sample frame construction for the SDR, some missing demographic variables, such as race and ethnicity, were imputed before sample selection by using other existing information from the sampling frame. All sample members with imputed values for race or ethnicity were given the opportunity to report these data if they responded in the Web or CATI modes.

Respondents with missing race or ethnicity data who did not take the opportunity to report these data were assigned values for race or ethnicity through hot-deck procedures during post-data processing.

Most SDR variables were subjected to hot-deck imputation, with each variable having its own class and sort variables chosen by regression modeling to identify nearest neighbors for imputed information.

However, imputation was not performed on critical items or on verbatim-based variables. For some variables, there was no set of class and sort variables that was reliably related to or suitable for predicting the missing value, such as day of birth. In these instances, random imputation was used, so that the distribution of imputed values was similar to the distribution of reported values without using class or sort variables.

Weighting. Because the SDR is based on a complex sampling design and subject to nonresponse bias, sampling weights were created for each respondent to support unbiased population estimates. The final analysis weights account for the following:

  • Differential sampling rates
  • Adjustments for unknown eligibility
  • Adjustments for nonresponse among eligible sample members
  • Adjustments to align the sample distribution with the DRF distribution with respect to gender, race and ethnicity, degree year, degree field, and residency location

The final sample weights enable data users to derive survey-based estimates of the SDR target population. The variable name on the SDR public use data files for the SDR final sample weight is WTSURVY.

Detailed information on weighting is contained in the 2019 SDR Methodology Report, available upon request from the SDR Survey Manager.

Variance estimation. The successive difference replication method (SDRM) was used to develop replicate weights for variance estimation. The theoretical basis for the SDRM is described in Wolter (1984) and in Fay and Train (1995). As with any replication method, successive difference replication involves constructing a number of subsamples (replicates) from the full sample and computing the statistic of interest for each replicate. The mean square error of the replicate estimates around their corresponding full sample estimate provides an estimate of the sampling variance of the statistic of interest. The 2019 SDR produced 104 sets of replicate weights. Please contact the SDR Survey Manager to obtain the SDR replicate weights and the replicate weight user guide.

Disclosure protection. To protect against the disclosure of confidential information provided by SDR respondents, the estimates presented in SDR data tables are rounded to the nearest 50, although calculations of percentages are based on unrounded estimates.

Data table cell values based on counts of respondents that fall below a predetermined threshold are deemed to be sensitive to potential disclosure, and the letter “D” indicates this type of suppression in a table cell.

Survey Quality Measures

Sampling error. SDR estimates are subject to sampling errors. Estimates of sampling errors associated with this survey were calculated using replicate weights and are included in each table of estimates. Data table estimates with coefficient of variation (that is, the estimate divided by the standard error) that exceed a predetermined threshold are deemed unreliable and are suppressed. The letter “S” indicates this type of suppression in a table cell.

Coverage error. Coverage error occurs in sample estimates when the sampling frame does not accurately represent the target population and is a type of nonsampling error. The initial SDR sampling frame is the DRF which is derived from the SED, a census survey of research doctorates awarded annually in the United States. To the extent that the DRF does not include all awarded research doctorates, the SDR would suffer from undercoverage. Reporting errors in the SED could lead to incorrect classification of doctorates as not having earned an SEH research doctorate, which could result in further undercoverage.

Nonresponse error. The weighted response rate for the 2019 SDR was 69%; the unweighted response rate was 68%. Results from the research and analysis of SDR nonresponse trends have been used in the development of the nonresponse weighting adjustments to minimize the potential for nonresponse bias in the SDR estimates. In addition, as noted above, most item nonresponse was addressed using hot-deck imputation methods and random imputation for a few items when applicable.

Measurement error. The SDR is subject to reporting errors from differences in interpretation of questions and by modality (Web, mail, and CATI).

Data Comparability and Changes

Data comparability. Year-to-year comparisons can be made among the 1993 to 2019 survey cycles because many of the core questions remained the same. Small but notable differences exist across some survey cycles, however, such as the collection of occupation data being based on the different versions of the occupation taxonomy. Also, due to variation in the month of the reference date in some survey cycles, seasonal differences may occur when making comparisons across cycles and decades. Thus, use caution when interpreting cross-cycle and cross-decade comparisons. In addition, the definition of the SDR survey target population has experienced the following changes over time:

  • The 2015 SDR sample design improved population coverage in the 2015, 2017, and 2019 survey cycles to include all SEH doctorates awarded by U.S. institutions regardless of the academic year of award or the graduate’s post-graduation residency location.
  • In 2010 and 2013, coverage of SEH doctorates residing outside of the United States only included those having graduated since 2001.
  • Surveys conducted prior to 2010 did not cover SEH doctorates residing outside of the United States.
  • From 1999 to 2008, estimates of industrial engineers were mislabeled as estimates of “Materials/metallurgical engineers.” For these years, data in this mislabeled category included only industrial engineers, and estimates of Materials/metallurgical engineers were included in the estimate of “Other engineers.”
  • Surveys conducted before 1991 included individuals who received research doctorates in fields other than SEH and individuals who received their doctorates from non-U.S. institutions.

Caution is recommended when considering any analysis of trends that span pre- and post-1991 surveys, pre- and post-2010 surveys, and pre-and post-2015 surveys because of the changes in the survey design and target population.

Overlap in sample cases across survey cycles allows for longitudinal analysis using SDR data. To link cases on the SDR public use data files across survey cycles, use the unique identification variable REFID.

Changes in survey coverage and population.

  • 2015. Beginning with the 2015 SDR and continuing with the 2017 and 2019 cycles, the SDR maintains a consistent target population that includes doctorate recipients residing outside the United States. The 2015 cycle introduced a fresh sample selected from the DRF and sampling strata defined by fine field of degree. Through these changes introduced in the 2015 SDR survey cycle, the 2015 sample represents all U.S.-trained doctorate holders with a first SEH degree regardless of their citizenship or plans to leave the United States upon graduation, which were eligibility delimiters in past cycles of the SDR. To analyze U.S.-residing cases only, use the variable FNINUS, which indicates living or working in the United States on the survey reference date.
  • 2010 and 2013. Beginning with the 2010 SDR and continuing with the 2013 cycle, the sampling and weighting procedures integrated the U.S.-residing national (NSDR) and the non-U.S.- residing international (ISDR) sample components. Complete surveys from respondents located in the United States on the survey reference date were included in the SESTAT (Scientists and Engineers Statistical Data System) analysis dataset regardless of the initial sample component.
  • 2006. In all cycles of the SDR except 2006, the new cohort consisted of graduates from the 2 academic years immediately preceding the survey year. In 2006, the SDR new cohort sample covered graduates in the 3 previous academic years.
  • 2003. Beginning with 2003, the new cohort frame includes all SEH doctorate recipients except those who earned an SEH doctorate in a prior year. The SDR frame is based on the first U.S. research doctorate earned in an SEH field.
  • 2001 and prior. Recipients of two doctorates whose first degree was in a non-SEH field were not included in the SDR frame, even if their second doctorate was in an SEH field. Based on information collected annually by the SED on the number and characteristics of those earning two doctorates, this exclusion resulted in a slight undercoverage bias. Between 1983 and 2000, for example, the total number of double doctorate recipients with a non-SEH first doctorate and an SEH second doctorate was 154, representing 0.05% of the total number of SEH doctorates awarded in that period.

Changes in data processing.

  • 2019: Updates to improve the accuracy of post-collection processing resulted in shifts to two estimates. Specifically, as a result of an update to an edit, the estimate of the proportion of the population employed on the reference day in both the current cycle and in the prior cycle (WRKGP) increased relative to 2017 and 2015. In 2019, the edit for missing responses to this item was updated to evaluate current cycle working status as well as refer to the working status reported in the prior cycle. Previously, the edits do not refer to prior cycle response data. As a result of modification to an item specific imputation approach, the distribution of changes in employer and type of job (EMSMI) between the 2019 cycle and the previous cycle shifted for those working in both cycles. The modification removed a constraint that limited the eligible donor pool and resulted in differences in the distribution between non-imputed and imputed responses. The modified imputation approach applied in 2019 increased the similarity between the imputed response distribution and the non-imputed responses.

Changes in questionnaire.

  • 2019. The 2019 questionnaire eliminated the question that asked respondents to provide their preferred mode of response. This question reflected an operational rather than analytic purpose. However, prior research showed that once respondents complete the survey online they are more likely to complete online in the future, regardless of stated preference. Similarly, respondents given the Web-start mode are more likely to complete on Web, regardless of past mode of completion.
  • 2017. The 2017 questionnaire changed the order of responses 9 and 10 to questionnaire item A13 (type of principal employer). Response 9 is “in a non-U.S. government at any level,” and response 10 is “Other—Specify type of employer”; these were in the reverse order in the 2015 questionnaire. For questionnaire item E9, “Were you a non-U.S. citizen…,” all 2017 survey forms included a third response option, “Who no longer held a U.S. Resident Visa.” The second response option in questionnaire item E18 (the future survey mode preference questions) was changed to “An online questionnaire” from “A web questionnaire on the Internet.”
  • 2015. The 2015 questionnaire differed from the 2013 questionnaire by adding “National Aeronautics and Space Administration (NASA)” as response category 6 to questionnaire item A43 (Federal agencies or departments supporting your work). “National Science Foundation (NSF)” became response category 7, “Other” became response category 8, and “Don’t know source agency” became response category 9. In addition, a new questionnaire item was added (E12) that included three questions to help verify information about the individual’s doctorate: (1) the institution granting the doctorate, (2) the field of study of the doctorate, and (3) the month and year it was granted.
  • 2013. The 2013 questionnaire differed from the 2010 questionnaire by splitting the first response category for the indicator of sample member location on the survey reference date into two categories. “United States, Puerto Rico, or another U.S. territory” became “United States or Puerto Rico” and “Another U.S. territory.”
  • 2010. The 2010 questionnaire differed from the 2008 questionnaire as follows. The module questions were dropped on respondents’ second jobs, patents, and publications. At the same time, the SDR reinstated from previous rounds’ questionnaires a module on enrollment and course taking at a college or university and also questionnaire items on components of job satisfaction, whether employer is a new business, importance of job benefits, membership in professional associations, attendance at professional conferences, and federal agencies supporting research work. Three new questionnaire items were added: year of tenure, year of retirement, and degree of difficulty concentrating, remembering, or making decisions.
  • 2008. The 2008 questionnaire included a module that gathered information on individual’s second job, as well as two sets of questions reinstated from the 2003 questionnaire: (1) questions measuring technical expertise required for the respondent’s and the respondent’s spouse’s primary job, and (2) questions measuring respondent’s research productivity (authorships or co- authorships of papers, articles, books, or monographs; number and type of patents earned). The 2006 modules on postdoctoral appointments and international collaboration were not included.
  • 2006. The 2006 questionnaire included a module on the history of postdoctoral appointments, awarded primarily for gaining additional education and training in research, as a follow-up to a similar module included in the 1995 SDR, in addition to a new module on international collaboration among doctorate recipients.

Changes in reporting procedures or classification.

  • 2017. The 2017 survey microdata includes both the former SDR field of study aggregations as well as the 77 new field of study aggregations based on the NCSES Taxonomy of Disciplines (ToD). The ToD has few minor differences in broader field aggregations compared to the traditional taxonomy used in past data tables.
  • 2015. Data tables reporting at the SED fine field of degree level have been added. Data tables that report on the non-U.S. residing population have been added consistent with the updated sample design that provides full coverage of the non-U.S. residing population.
  • 2010. Due to the inclusion and exclusion of certain module questions in the 2010 questionnaire compared to the 2008 questionnaire, there are some differences in 2010 data table availability compared with 2008.
  • 2003. Data on employed doctorate recipients were further classified to include a new category for science and engineering (S&E)-related occupations. This category includes health-related occupations, S&E managers, S&E precollege teachers, and S&E technicians and technologists.
  • 2002 and prior. Data on employed doctorate recipients were classified into two categories: employment in an S&E occupation, and employment in a non-S&E occupation.


Employer location. Survey question A9 includes the location of the principal employer, and data were based primarily on responses to this question. Individuals not reporting place of employment were classified by their last mailing address.

Field of doctorate. The doctoral field is as specified by the respondent in the SED at the time of degree conferral. The more than 200 SED coded fields were subsequently recoded to the 77 field-of-study codes used in the SDR questionnaire. (See technical table A-1 for a list and cross-classification of the 77 SDR detailed fields of degree based on the ToD with over 200 fine fields of degree reported in the SED sampling frame.)

Full-time and part-time employment. Full-time (working 35 hours or more per week) and part-time (working less than 35 hours per week) employment status is for the principal job only and not for all jobs held in the labor force. For example, an individual could work part time in his or her principal job but full time in the labor force. Full-time and part-time employment status is not comparable to data reported before 2006, when no distinction was made between the principal job and the other jobs held by the individual.

Involuntarily out-of-field rate. Involuntarily out-of-field rate is the percentage of employed individuals who reported, for their principal job, working in an area not related to the first doctoral degree at least partially because a job in their doctoral field was not available.

Labor-force participation rate. The labor-force participation rate is the ratio (E + U) / P, where E (employed) + U (unemployed; not-employed and actively seeking work) = the total labor force, and P = population, defined as all noninstitutionalized SEH doctorate holders less than 76 years of age during the week of 1 February 2019 and who earned their doctorate from a U.S. institution.

Occupation data. The occupational classification of the respondent was based on his or her principal job (including job title) held during the reference week—or on his or her last job held, if not employed in the reference week (survey questions A5 and A6 as well as A19 and A20). Also used in the occupational classification was a respondent-selected job code (survey questions A7 and A21). (See technical table A-2 for a list and classification of occupations reported in the SDR.)

Race and ethnicity. Ethnicity is defined as Hispanic or Latino or not Hispanic or Latino. Values for those selecting a single race include American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or Other Pacific Islander, and White. Those persons who report more than one race and who are not of Hispanic or Latino ethnicity also have a separate value. Race and ethnicity data are from the SED and prior rounds of the SDR. The most recently reported race and ethnicity data are given precedence.

Salary. Median annual salaries are reported for the principal job, rounded to the nearest $1,000, and computed for full-time employed scientists and engineers. For individuals employed by educational institutions, no accommodation was made to convert academic year salaries to calendar year salaries. Users are advised that, due to changes in the salary question after 1993, salary data for 1995–2019 are not strictly comparable with 1993 salary data.

Sector of employment. Employment sector is a derived variable based on responses to questionnaire items A13, A14, and A15. Questionnaire item A13 (type of principal employer) includes a separate response “In a non-U.S. government at any level” as of the 2015 survey. In the data tables, the category 4-year educational institutions include 4-year colleges or universities, medical schools (including university-affiliated hospitals or medical centers), and university-affiliated research institutes. Other educational institutions include 2-year colleges, community colleges, technical institutes, precollege institutions, and other educational institutions (which respondents reported verbatim in the survey questionnaire). Users should note that prior to 2008 these other educational institutions that were written as verbatim by respondents were grouped with 4-year educational institutions rather than with 2-year colleges. Private, for-profit includes respondents who were self-employed in an incorporated business. Self-employed includes respondents who were self-employed or were a business owner in a non-incorporated business.

Unemployment rate. The unemployment rate (RU) is the ratio U / (E + U), where U = unemployed (not- employed and actively seeking work), and E (employed) + U = the total labor force.


Fay RE, Train GF. 1995. Aspects of survey and model-based postcensal estimation of income and poverty characteristics for states and counties. American Statistical Association Proceedings of the Section on Government Statistics, 154–59.

Wolter K. 1984. An investigation of some estimators of variance for systematic sampling. Journal of the American Statistical Association 79(388):781–90.



1Item nonresponse rates reflect data missing after logical imputation or editing, but before hot-deck imputation, for all variables except sex, predicted respondent location, ethnicity, race, and citizenship at birth. Demographic and location variables completed by logical imputation during frame construction were also counted as nonresponse, as well as those filled in by hot-deck imputation.



Data corrections

11 August 2023: In the Survey of Doctorate Recipients 2019 data tables reporting field of doctorate, the incorrect label “Industrial engineers” was corrected to "Metallurgical and materials engineering."

The following tables have been corrected:


Acknowledgments and Suggested Citation


Daniel Foley of the National Center for Science and Engineering Statistics (NCSES) developed and coordinated this report under the leadership of Emilda B. Rivers, NCSES Director; Vipin Arora, NCSES Deputy Director; John Finamore, Acting NCSES Chief Statistician; and John Finamore, NCSES Program Director. Jock Black (NCSES) reviewed the report.

Under NCSES contract with Westat, the Westat statistical team led by Shelley Brock compiled the tables in this report. Publication processing support was provided by Christine Hamel, Tanya Gore, and Joe Newman (NCSES).

NCSES thanks the doctorate recipients for their generous time and effort in contributing to the information included in this report.

Suggested Citation

National Center for Science and Engineering Statistics (NCSES). 2021. Survey of Doctorate Recipients, 2019. NSF 21-320. Alexandria, VA: National Science Foundation. Available at


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Report Author

Daniel Foley
Survey Manager
Human Resources Statistics Program, NCSES
Tel: (703) 292-7811


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