brandeis ir - 2019bir.brandeis.edu/bitstream/handle/10192/37052/sarasotaco... · 2020. 9. 4. ·...
TRANSCRIPT
-
2019Jewish Community Study
A socio-demographic portrait of the Jewish community in Sarasota-Manatee
Cohen Center Authors: Matthew Boxer
Matthew A. BrooknerEliana Chapman
Janet Krasner Aronson
Sponsored in part by a grant from:
Technical Appendices
-
Table of Contents
Appendix A: Methodology ............................................................................................................................... 1 Overview ......................................................................................................................................................... 1 1. Sampling Frame ......................................................................................................................................... 12. Sample Design ........................................................................................................................................... 23. Survey Instrument and Data Collection ................................................................................................. 34. Field Procedures ........................................................................................................................................ 45. Data Outcomes .......................................................................................................................................... 56. SSRI Data Synthesis for Population Estimates ..................................................................................... 67. Weighting .................................................................................................................................................. ..88. Final Population Estimates .................................................................................................................... 129. Analysis ..................................................................................................................................................... 1310. Margin of Error ..................................................................................................................................... 1311. Bias and Limitations .............................................................................................................................. 1312. Qualitative Coding ................................................................................................................................ 14
Appendix B: Comparison Charts .................................................................................................................. 15 How to Read the Comparison Charts ...................................................................................................... 15 Subgroups Used for Comparison Charts ................................................................................................. 16
Appendix C: Latent Class Analysis................................................................................................................ 69 Appendix D: Survey Instrument and Codebook ........................................................................................ 74
Screener ......................................................................................................................................................... 74 Household Composition ............................................................................................................................ 74 Respondent Demographics ........................................................................................................................ 77 Adult Roster ................................................................................................................................................. 81 Child Roster .................................................................................................................................................. 94 Multigenerational ........................................................................................................................................105 Residency .....................................................................................................................................................106 Preschool ......................................................................................................................................................110 PJ Library .....................................................................................................................................................112 K-12 Jewish Education ..............................................................................................................................112 Adult Children in High School .................................................................................................................119 Young Adults ..............................................................................................................................................121 Religious Life ...............................................................................................................................................122
-
Jewish Life ..................................................................................................................................................130 Subpopulations ...........................................................................................................................................136 Israel.............................................................................................................................................................139 Organizations .............................................................................................................................................141 Activities ..................................................................................................................................................... 151 Philanthropy .............................................................................................................................................. 153 Health and Well-Being ............................................................................................................................. 158 Labor Force Participation & Financial Well-Being ............................................................................. 164 Concluding Thoughts ............................................................................................................................... 169
Appendix E: Study Documentation ........................................................................................................... 170 Pre-Notification Letter............................................................................................................................. 170 Briefing Materials for Interviewers ........................................................................................................ 172
Appendix F: Maps ........................................................................................................................................ 184
-
Appendix A: Methodology
Overview
CMJS/SSRI has developed innovative methods to estimate the size and characteristics of the Sarasota-Manatee Jewish community. As survey techniques have become more refined, the barriers to reaching respondents have become increasingly difficult to overcome. Researchers typically experience limitations in reaching respondents due to the proliferation of survey research, the prevalence of cell phones, and caller ID/blocking. Low-incidence populations are particularly hard to reach using the traditional method of random digit dialing (RDD) because the likelihood of reaching someone in the target population depends upon the size of that group relative to the population as a whole. To address these barriers, CMJS has utilized a research design that incorporates two innovations:
• Data from an extended sample of email-only respondents• Use of organizational data to correct for sampling bias
The research design for the Sarasota-Manatee Jewish Community Study utilizes random sampling from an identified frame, or list, of the known population. Local Jewish organizations provided their own lists. These lists were combined with a purchased list of likely Jewish households within the geographic area and were then deduplicated. The combined list constituted the sampling frame from which a primary random sample of households was drawn. Because this primary sample was a random selection from the overall frame, it is assumed to be representative of the entire frame. For that reason, data collected from the random sample were used to estimate overall population characteristics.
To supplement the primary random sample, a second sample was drawn from a frame consisting of the remaining households who had an email address. Information from these households increased the amount of data available from populations of interest and allowed for more detailed analysis of the characteristics of the community.
1. Sampling Frame
The 2019 Sarasota-Manatee Jewish Community Study implemented a dual-mode Internet and telephone survey to reach year-round and seasonal residents of the Sarasota-Manatee area. In the absence of an area probability or RDD frame, we built a sampling frame from the combined mailing lists of Jewish organizations in Sarasota and Manatee counties. The numbers and types of organizations included in the lists are shown in Table A1.
1
-
Table A1. Composition of strata Number Type Organization
1 Children and young adults 4 organization lists
2 Adults 9 organization lists
3 Synagogues 8 organization lists
4 Other lists 7 organization lists
5 Ethnic names MelissaData (data purchase)
In order to find any Jewish-connected households not already known to the organized Jewish community, a list of possible Jewish households was purchased from a commercial data broker, MelissaData, and was added to the sample. This list identifies households based on their geography, and then further restricts households to those with Jewish last names and first names. This list, referred to as the “ethnic names list,” consisted of 14,582 households that were identified as likely to include someone who was Hebrew-speaking or Jewish by ethnicity, ethnic group, or religion, and did not appear on an organization’s list; these households represented the “unaffiliated” Jewish community. The ethnic names list included an indicator whether a household was likely to have children or not. Households that appeared solely on the ethnic names list, and not on any organization’s list, were assigned to separate groupings, called “strata,” based on this indicator.
The organizational and purchased lists were combined, cleaned, and deduplicated to ensure that no unique household appeared on the list more than once. Households without any mailing address were removed from the sampling frame because they could not be fully identified. The combined list-based sampling frame consisted of 33,179 households.
2. Sample Design
The sample design for this study accounted for the fact that the area includes a large number of part-year residents, some of whom would be listed on organizations’ lists under their local Sarasota-Manatee address, and others of whom would be listed under their out-of-area permanent address.
The sampling frame was divided into five strata based on expected characteristics of the household inferred from the household’s appearance on organizational lists. The composition of the five strata is shown in Table A2. Households that appeared on multiple lists were placed in the lowest-number strata for which they were eligible; for example, a household appearing on a “kids and young adult” list (stratum 1), a synagogue list (stratum 3), and the Ethnic Names list (stratum 5) would be assigned to stratum 1.
Once the region and strata assignments were made, a primary sample of 6,700 total potential respondents was randomly selected from across each region/strata cell (Table A2). The sampling rate of each stratum was designed to oversample likely Jewish households and likely households with children in order to maximize the representation of those groups within the final sample.
Concurrent to the primary sample, a backup sample of 2,900 primary-eligible households was drawn from the remainder of the sampling frame, to be used as needed to ensure the targeted number of completed sample surveys were completed. In the event that the households in the backup sample
2
-
were not needed for the primary sample to reach the targeted number of completed surveys, they would be treated as part of the supplementary sample. Following selection of the primary and backup samples, an email-only supplement was identified. This sample frame of 12,978 households for the email supplement included all households in the email sub-strata that were not selected into the primary sample. In all, 695 of those households were selected into the email-only supplement. The combination of the primary sample, backup sample, and the email-only supplement is referred to as the “full sample.” Table A2. List-based sample size by strata
Stratum 1 Stratum 2 Stratum 3 Stratum 4 Stratum 5 Total
Frame 1,690 1,668 3,354 16,325 11,535 34,572
Primary 800 600 750 750 3800 6,700
Backup 400 300 350 350 1500 2,900
Supplement 387 308 0 0 0 695
3. Survey Instrument and Data Collection The survey instrument was designed in collaboration with the advisory committee convened by the Jewish Federation of Sarasota-Manatee. The questions were crafted to minimize potential bias and any burden on respondents. Where possible, questions, language, and definitions were adopted from previously published Jewish community survey questionnaires, allowing for greater confidence in their reliability. The questionnaire was divided into two parts, a screener and the survey itself. The screener section was asked of all respondents to determine eligibility. Any household in the sample was considered eligible if it contained at least one adult aged 18 or older who lived in Sarasota County or Manatee County for at least part of the year and considered him- or herself to be Jewish. A total of 1,611 households in the primary sample completed the screener and of those, 772 were screened into the survey. Qualifying households proceeded to the main survey, which included sections on basic sociodemographic information, engagement in Jewish life, and perceptions of various aspects of Jewish communal life in Sarasota-Manatee. In order to minimize the burden on respondents, a series of complex skip patterns (“branching”) were created to ensure that respondents were only asked questions that pertained to their specific life situation or experience. The online survey took between 20-30 minutes to complete. Respondents completing the survey over the telephone usually completed it in 25-40 minutes. However, the amount of time required to complete the survey varied depending on household composition and the degree of detail respondents were willing to offer for open-ended questions.
3
-
The survey and CATI interface were programmed by the University of New Hampshire Survey Center. Two modes of data collection were utilized: online and telephone. The online and telephone instruments were identical – when a survey was completed over the phone, the telephone interviewer would fill out the online version. The survey instrument is presented in the form of a codebook in Appendix D.
4. Field Procedures Prenotification letters were mailed to the primary sample of 6,700 households on January 7, 2019. These letters explained the purpose of the survey and provided each household with a unique link to complete the survey independently online. Households for which one or more e-mail addresses were available also received these letters electronically on January 7, 2019. A sample of the prenotification letter is shown in Appendix E. A survey invitation was sent to one email address for each household. If email messages “bounced” or were undeliverable, another email address from the same household was substituted if available. After one week, households that had not completed the survey were contacted by telephone. The primary goal of telephone contact was to administer the survey over the phone if the respondent was unable or unwilling to complete the survey online, or if the respondent simply preferred to complete the survey over the phone. If the respondent was unwilling to complete the survey over the phone at the time of the call, he or she was asked for a better time to be called again or for an email address to re-send the link to the survey online. Systematic respondent selection did not take place. The first adult reached in the household was interviewed. Calling began on January 14, 2019, starting with the households for which phone numbers were available but email addresses were not. Calling concluded on April 5, 2019. Ten email reminders were sent for all non-completed surveys during the field period. Data collection was conducted and supervised by UNH, who was responsible for selecting and training callers, supervising and monitoring calling, tracking dispositions, and sending email reminders. Interviewers and supervisors were trained in survey procedures for this specific project, including the study’s sponsor, target population, and eligibility criteria; the survey instrument; pronunciation of Hebrew and Yiddish words; and entering open-ended responses. In addition to survey-specific training, interviewers also receive general training in telephone procedures and interviewing techniques. Only interviewers who had undergone this basic training worked on the project. Interviewers were provided with paper sheets with frequently asked questions and pronunciation guides, names of Jewish organizations and congregations, and background information on selected concepts. Callers made up to five attempts to reach all households in the primary sample who did not complete the survey online in response to email requests or who did not have email addresses. The maximum number of attempts for any one case (across all phone numbers) was 11. Callers offered to conduct survey interviews over the telephone or, if requested, to send the household members their unique link to complete the survey online at their convenience.
4
-
Households were contacted repeatedly at different days and times to determine whether available contact information was correct. Households whose available contact information was confirmed to be outdated, who had no contact information, and those for whom the status was uncertain were searched in online public records databases to find updated information. CMJS research assistants searched for additional contact information and added phone numbers to the calling list as they were identified.
The supplementary sample was conducted as an email-only survey that was not accompanied by prenotification letters or phone calls. The survey instrument for the email sample was identical to the one used for the primary sample. Email invitations were sent to the 3,595 households in the backup and supplementary samples on January 9, with 10 reminders on for non-completed surveys during the field period.
On March 6, 2019, 50% of strata 1-4 of the backup sample was released into the primary sample to ensure the targeted number of completes was reached. The remaining cases were added to the supplementary sample. This increased the realized primary sample to 7,400 and the realized supplement to 2,895.
Data collection ended on April 18, 2019. A cleaned dataset was prepared by UNH Survey Center.
5. Data Outcomes
In the overall primary sample, 1,611 households completed the screener, with 772 screening in and 838 screening out (Table A3). The overall response rate was 37.8% for the primary sample (AAPOR RR4). For the combined list-based sample (primary plus supplement), 2,021 households completed the screener, and of those, 1,125 were screened into the full survey (Table A4). The overall response rate was 30.5% (AAPOR RR4).
Table A3. Outcome rates by strata for overall primary sample (AAPOR)
Strata Sample Size Screened In
Screened Out
Response Rate 4
Refusal Rate 2
Cooperation Rate 1
Contact Rate 2
Children and young adults 1,000 151 215 43.6% 21.6% 66.7% 65.3%
Adults 750 269 34 54.7% 19.2% 73.9% 74.1%
Synagogues 925 199 55 42.0% 26.7% 59.9% 70.2%
Other lists 925 69 127 44.4% 21.2% 66.6% 66.7%
Ethnic names 3,800 84 407 27.9% 28.0% 49.4% 56.3%
Total 7,400 772 838 37.8% 23.8% 60.8% 50.6%
Table A4. Overall outcome rates by sample type
Strata Sample Size
Screened In
Screened Out
Response Rate 4
Refusal Rate 2
Cooperate Rate 1
Contact Rate 2
Primary 7,400 772 838 37.8% 23.8% 60.8% 50.6%
Supplement 2,895 353 58 11.1% 5.9% 64.8% 17.0%
Total 10,295 1,125 896 30.5% 18.7% 61.4% 39.1%
5
-
Twenty-five respondents were initially screened into the survey but after inspection of responses were determined to include no Jewish adults or that the adults were Messianic Jews and therefore ineligible for the survey.1 An additional 63 respondents screened into the survey but did not complete the household roster, and so were not included in analyses. The final sample consisted of 1,038 households (Table A5).
Table A5. Sarasota-Manatee by sample type Primary Supplement Total
Eligible households 713 325 1,038
Ineligible households
Screen out 838 58 896 Incomplete 41 22 63 Reclassified screened out 20 5 25 Total 1,610 410 2,020
6. SSRI Data Synthesis for Population Estimates
Since 2005, the American Jewish Population Project (AJPP) at the Steinhardt Social Research Institute (SSRI) has identified and collected hundreds of nationally representative surveys of the US population to produce estimates of the Jewish population in the continental United States, its states, metropolitan areas, and counties (or groups of counties). These estimates provide an independent, external reference for the basic demographic profile of the Jewish population. This population profile serves as a point of reference for the community as a whole and for those who conduct targeted surveys of the population and have no frame of reference for evaluating the representativeness of their survey sample. Details of the methods are reported elsewhere.2
The data synthesis method demonstrates how an auxiliary data source can be constructed to provide independent, census-like estimates of the size and characteristics of the adult Jewish-by-religion (JBR) population in the United States at the county level.3 These estimates of the adult JBR population may then be used to generate new post-stratification weights. These new post-stratification weights are then applied to the targeted study of the Jewish population.
Summary of Data
The full sample of surveys in the AJPP database spans the years 2000 to 2017, with an additional sample of surveys from 1988 to 1992, for more than 900 independent samples and a total combined sample size of more than 1.4 million respondents, of whom over 34,000 identify as Jewish by religion. Samples include those conducted as part of a series, such as the American National Election Studies,4 the Religion and Public Life Survey conducted annually by the Pew Forum on Religion and Public Life, and the Cooperative Congressional Election Study (CCES).5 In addition, the sample includes surveys conducted regularly by major news organizations (e.g., CBS, New York Times). Where a single survey may have included multiple sampling methods or frames (e.g., landline versus cellphone), each is treated as a separate independent sample, with unique identifiers to indicate series membership.6 For surveys that included oversamples, only the representative portion of the samples were included in the analyses unless the oversamples were of groups
6
-
estimated directly in the population models – for example, age or race – in which case the oversample contributed only to estimation of that particular group. All of the surveys provide data on those who identify as Jewish by religion (JBR), which is the largest proportion of the Jewish population and therefore serves as the baseline group for generating population estimates. A smaller number of surveys include assessment of religious upbringing or parents' religious/ethnic identification, or non-religious Jewish identification (for instance, “Do you consider yourself Jewish?”) in addition to current religious affiliation.7 Often the religious identification question is asked as “What is your religion? Is it Protestant, Roman Catholic, Jewish, something else, or no religion?” Nearly all include Jewish as one of the discrete options. An increasing number of surveys provide no discrete options, ask simply, “What is your religion, if any?”, and record all self-generated responses to the question. Question wording is recorded in order to examine whether there are differences in Jewish population estimates across the surveys. Most of the surveys specifically included a “no religion” option (none, non-religious, atheist, or agnostic). Recent research has suggested that the inclusion of none as a specific option increases the proportion of those who identify as “no religion.”8 Given that a substantial proportion (up to 25%) of the national Jewish population might identify as no religion when asked about religion, this aspect of question wording was also recorded to see if it is also associated with lower estimates of Jewish identification by religion, and if higher proportions identifying as “no religion” is associated with lower estimated proportions of Jewish identification overall. The present report is based on a subset of national samples (145) which were conducted between the years 2012 and 2017 and which provided county level information. The subset included 708 respondents from the counties of Sarasota and Manatee, of whom 28 identify as Jewish by religion. Modeling The full poststratification model specification included fixed effects for demographics and county. Demographic variables include age (18-24; 25-34; 35-44; 45-54; 55-64; 65+), race/ethnicity (Non-Hispanic White; Non-Hispanic Black; Hispanic; Other), sex (Male/Female), and educational attainment (Non-College / College). These mirror the categories used in the national data synthesis model. Sarasota and Manatee Jewish Population Estimates Results from the model provide overall population estimates for the combined area of Sarasota and Manatee counties. The overall estimate of the adult population who identify as Jewish by religion is 3.4% (95% CI: 2.3%-4.7%), corresponding to 22,600 adults (95% CI: 15,200 to 31,200).
Estimating the number of JNRs (Jews of no religion) The next step in estimating the size of the adult Jewish population was to estimate the number of adult JNRs. Estimates of the number of JNRs are not directly available from the data synthesis and must be approximated from other sources. We used a ratio of JNRs to JBRs derived from the Pew study of American Jews.
7
-
The resulting target estimates for JBR and JNR adults are show in Table A8. The resulting proportion of JNRs to total Jewish adults was 0.15. Table A6. JBR and JNR targets for postestimation
JBR Adults JNR Adults Total Sarasota and Manatee Counties 22,611 3,990 26,601
7. Weighting
Overview of weighting procedures used The purpose of developing survey weights for the sample is to adjust the survey data so that they will represent the population from which they were drawn. This is done in two ways: base weights, which are based on sample design, and poststratification weights, which are adjustments to external benchmarks. For base weights, the data are adjusted to match the sampling frame by calculating the strata-specific probabilities of selection into the sample and rates of response. By selectively adjusting weights upward (for respondents from strata in which households were less likely to be selected or to respond) and downward (for respondents from strata in which households were more likely to be selected or to respond), the resulting weights adjust the data to match the frame from which they were drawn. Poststratification, the second phase of weighting, adjusts the data to match known population parameters. In this case, the known parameters that were utilized were the Enhanced RDD estimates of the JBR adult population and their age distribution, and the JNR estimate, as described in the previous section. The number of children currently enrolled in Jewish day schools and part-time schools and the number of synagogue members are provided by local organizations. After applying the base weights, the sample is adjusted again to match these parameters. This step yields the primary sample weights for households and respondents. The weighted primary sample was used to estimate the size of the adult population for multiple categories of religious identity as well as the distribution of Jewish denominational affiliation. For the supplemental sample, base weights were calculated for the email portion of the frame based on differential probability of selection and response. After applying base weights, poststratification weights were calculated to adjust the full sample to the JBR and age estimates from data synthesis, the number of children in day school, as well as the JNR estimate and denominational affiliation calculated from the primary sample. At the end of the process, a datafile was created with one record per household. In this file, each record has four weights:
8
-
1) wtprimhh: the weight of the household for the primary sample 2) wtfullhh: the weight of the household for the full sample 3) wtprimresp: the respondent’s individual weight for the primary sample 4) wtfullresp: the respondent’s individual weight for the full sample
Design and base weights Base weights were calculated separately for the primary sample and the full sample. Base weights are calculated as the product of the design weight (inverse of the probability of selection into the sample) and the nonresponse weight (inverse of the probability of responding after being selected into the sample). For the primary sample, data were weighted separately within each sub-stratum by the probability of selection into the sample (design weights) and nonresponse. To calculate the design weight, the preliminary frame size was adjusted to account for the presumed ineligibility of a proportion of the households in the sample frame. Ineligible households identified during the data collection period of the survey are those households that are found to be duplicates, deceased, or infirm. The adjusted frame size for each stratum was calculated as: Adjusted frame size = Frame size × (Number eligible households ÷ Number selected households) The design weight for each stratum was calculated as: Design weight = Adjusted frame size ÷ Number eligible households Respondents were those who partially or fully completed the survey. Partial surveys were those in which the screening data were completed (whether the respondent was screened in or out). The nonresponse weight for each stratum was calculated as: Nonresponse weight = Number eligible households ÷ Number respondent households The base weight is calculated by multiplying the design weight by the nonresponse weight: Base weight = Design weight × Nonresponse weight
Poststratification In order to adjust the sample to account for the known population of Jews in Sarasota-Manatee, the process of poststratification was used.9 In order to adjust to the number of JBR adults, the survey data were reviewed based on responses to religion questions for each adult in the household. Each adult received a preliminary designation of Jewish by religion (JBR), Jewish not be religion (JNR), Jews of multiple religions (JMR), Jewish
9
-
background (JB), Jewish affinity (JA), or not Jewish. All households with no JBR, JNR, or JMR adults were classified as non-Jewish and reclassified as screened out of the sample. The first stage of the poststratification was conducted on an individual rather than a household level.10 The file was converted to an individual-level file with one record created for each adult in the household. The weights of the individual records initially were set at the weights of the household record, resulting in a total weight that added up to the number of individuals rather than the number of households. The individual records were poststratified to match the JBR and JNR counts. Individuals in the data file who were JNR or JMR were adjusted to the JNR estimates. Characteristics of JNRs, and all of non-Jewish adults, were derived from the base weights. The result of this step were interim individual poststratification weights for each individual adult. Because further poststratification weights were conducted at the household level, the interim individual weights were converted to preliminary household weights by taking the mean of all of the individual poststratified weights for all adults in the household for the respondent record.11 All records for non-respondents were dropped.
Poststratifying to known parameters The second stage of postestimation applied to households rather than individuals. At this stage, we further poststratified the sample using known parameters of the Jewish community: day school enrollment, part-time school enrollment, pre-school enrollment, synagogue membership, and donating to a local Jewish federation. To make use of these numbers, the education enrollment numbers needed to be converted to a number of households that they each represented. Local schools provided estimates of 140 children enrolled in Jewish day schools, 190 in Jewish part-time schools, and 196 children in Jewish early childhood centers. To use this estimate for individual adult weights, we estimated the number of households that this represented and the number of adults in those households. For each household, we categorized it as a day school household if any children were enrolled in day school and a part-time household if any children were enrolled in part-time school. We coded synagogue households if they were members of a Conservative, Reform, or other denomination “brick and mortar” synagogue. For households that had any children in school we estimated: Mean (weighted) day school (DS) students per DS household Mean (weighted) part-time school (PT) students per PT household Mean (weighted) early childhood school (EC) students per EC household To estimate households, we used the following formula: DS household count = (DS students total ÷ mean DS students per household) PT household count = (PT students total ÷ mean PT students per household)
10
-
EC household count = (EC students total ÷ mean EC students per household)
For synagogue households, membership estimates provided by the synagogues in the region indicated that there were 405 households belonging to Conservative synagogues, 1,516 to Reform synagogues, and 600 to other synagogues.
The last stage of the poststratification of the primary sample was to adjust the number of households to match the early childhood households, day school households, part-time school households, and denominational synagogue households. The results of this step yielded the primary household weight.
Respondent weights: Sarasota-Manatee only
At this stage, the Sarasota-Manatee dataset was split off from the entire weighting data file.
Weights for individual respondents, primary respondent weights, were created for analysis of individual level characteristics. Respondents were poststratified to represent all adults in the population.
Using the primary household weights, estimates were generated for the total number of adults for the following parameters:
• Jewish type (JBR, JNR, JMR) or non-Jewish• Seasonality• Age and gender• Jewish denomination (Orthodox, Conservative, Reform, Other, None)• Adults in day school household• Adults in part-time school household• Adults in early childhood school household• Adults in synagogue (Orthodox, Conservative, Reform, No specific denomination)• Geography
The starting weight for the respondent poststratification was the interim individual weight for the respondent. This was poststratified using the parameters listed above to yield the primary respondent weight.
Weights for the full sample
For the full sample, base weights were calculated differently than for the primary sample but the poststratification processes were similar. The full sample was a combination of the primary and supplementary (email-only) samples. All list-based households in the frame were eligible to be selected into the primary sample, but only households with email addresses could be selected into the supplement. Furthermore, households in the supplement received a lower level of effort than did those in the primary, resulting in different probabilities of response.
The full frame was divided conceptually into an email and a non-email frame (the list-based frame). All households from the list-based frame with email addresses were assigned into the email frame.
11
-
For households without email addresses, the base weight was calculated identically to the way it was for the primary sample. For households with email addresses, households were considered to have been selected into the full sample if they were in the primary or the supplement.
Base weights for primary and supplement The design weight for each email stratum was calculated as:
Design weight = Email frame size ÷ (Primary email sample + Supplement email sample)
The probability of response depended on the level of effort so was different for primary and supplement subsets.
Nonresponse weight, email primary = Primary email sample ÷ Primary email respondents
Nonresponse weight, email supplement = Supplement email sample ÷ Supplement email respondents
The base weight is calculated by multiplying the design weight by the nonresponse weight:
Base weight = Design weight × Nonresponse weight
Poststratification of full sample Poststratification of the full sample was conducted in the same way as for the primary sample, as described above. However, all poststratification targets for the full sample were the estimates generated from the primary sample only.
8. Final Population Estimates
Precise Population Estimates with Confidence Intervals Population numbers presented in the report were rounded so as to avoid overprecision – that is, the misleading implication that our estimates are correct down to the single digit. The precise population estimates with 95% confidence intervals are shown in Table A10. For example, the best estimate of the total Jewish population is 28,830 people. Given the size of the sample and possible sampling and non-response error, we can be 95% confident that the true value lies somewhere between 25,322 people and 32,337 people.
12
-
Table A7. Population Estimates with Confidence Intervals Shown Estimate Lower bound Upper bound Total Jews 28,830 25,322 32,337 Adults 31,556 27,298 35,814 Jewish 25,437 22,270 28,604 Non-Jewish 6,119 4,349 7,889 Children 3,748 2,730 4,766 Jewish 3,392 2,441 4,344 Non-Jewish 314 -56 685 Total people 35,304 30,662 39,946 Total households 17,057 15,155 18,959
9. Analysis
All analyses were completed using statistical software Stata, version 15. Unless otherwise noted, all analyses were restricted to Jewish households (in which at least one adult was Jewish) as well as individual Jewish adults and Jewish children who were specifically identified by respondents as being Jewish. Analyses of characteristics of the entire population were based only on the primary sample with appropriate weights applied. All analyses of subgroups or subsets of the population were conducted using the full sample with appropriate weights applied.
10. Margin of Error Many studies report a margin of error instead of reporting confidence intervals. The margin of error is the 95% confidence interval that would be expected if ALL survey respondents had answered a question; if there were only two response choices; if about half gave each response; and if the survey design had used a simple random sample. Given these conditions, the margin of error is dependent solely on the sample size and population size. Furthermore, the margin of error is only applicable to percentages, not to totals or means. In our sample, with 713 respondents in the primary sample, the margin of error would have been ±3.6% if we had used a simple random sample. Using our stratified random sample design increases the margin of error to about ±7%.
11. Bias and Limitations Every effort to create a representative sample was made in order to prevent bias or, where bias was unavoidable, to identify and reduce it. Nevertheless, some groups are particularly likely to be underrepresented in the sample. Most significant among these are unaffiliated Jews (including new residents and intermarried families) and young adult Jews. Young adult Jews are also likely undercounted for other reasons. Young adults in general are notoriously difficult to reach for telephone surveys, in part due to the increasing rate of cell phone-only households and in part because they tend to move more frequently than older adults; both conditions render young adults harder to track.
13
-
Newcomers who are not known to the community are very likely undercounted, though they may have appeared on the ethnic names list. Interfaith families may also be underrepresented to the extent that they are unaffiliated and reside in households with directory listings that do not fit the selected ethnic name parameters.
12. Qualitative Coding The survey included open-ended questions about personal experiences with antisemitism, aspects of Jewish life in which respondents or members of their households were unable to participate due to health issues or financial difficulties, the strengths and gaps within the Jewish community, and ideas for which facilities and programs respondents would like to see offered by the Jewish community. Responses were coded by CMJS/SSRI staff and student research assistants, with at least two researchers coding each question. Coders were trained to ensure intercoder reliability, stability, and accuracy. Their worked was reviewed on an ongoing basis for quality control. Difficult cases were marked for review by supervisors. Coding was conducted both deductively and inductively. For each question, coders were given a set of categories to look for in the responses; these categories were based on those used for similar questions from previous studies. However, coders were also instructed to watch for emerging patterns. When a coder believed that a new pattern of responses existed within the data, they reviewed their findings with a supervisor who decided whether the new pattern warranted a new code. When a new code was created, the coders reviewed previously coded entries to check whether the new code would apply to them.
14
-
Appendix B: Comparison Charts
To download the comparison charts in Microsoft Excel, visit https://www.brandeis.edu/ssri/communitystudies/sarasotareport.html
How to Read the Comparison Charts
The following series of tables provides detailed data that is not found in the primary report. In each section, characteristics are reported for the overall population on the top row, as well as for subgroups of the population, with each subgroup appearing in its own row. All rows are identical throughout the document. Subgroup names appear in the leftmost column of each page.
Each column reports on a characteristic or survey response. Some of these responses refer to households and some refer to individual Jewish adults. Characteristics that refer to Jewish households are indicated by a house symbol (⌂). All other characteristics refer to Jewish adults. For example, whether there are children in the household is a household characteristic; age is an individual characteristic.
The numbers in the table show the proportion of adults or households within a subgroup who have that characteristic. For example, in the table below, 15% of all households have children; 14% of the Personal Jews have children, and 20% of the Holiday Jews have children.
⌂HH
has
Ch
ildre
n
Overall 15%
Minimally Involved 8% Holiday 20%
Personal 14% Communal 17% Immersed 36%
In some cases, all response categories are shown in separate columns. In the case of yes/no responses, the “no” column is not shown. For example, in the table above, the proportion of households who have children is shown; the remainder, who do not have children, is not shown. If 20% of households have children, it can be inferred that 80% do not.
Where areas of the document are solid black, the question was not applicable for the subgroups on those rows. Where areas are colored light gray and numbers appear, there is a statistically significant difference between the subgroups. A double dash “--” indicates that a number cannot
15
https://www.brandeis.edu/ssri/communitystudies/sarasotareport.html
-
be reported reliably because it is based on fewer than 20 responses. When a percentage is between 0% and 0.5% and would otherwise round down to 0%, the number is denoted as < 1%.
Note that the procedure for generating the subgroup characteristics for these charts is different from that used in the main body of the report. Some minor differences are due to rounding and should be disregarded. Other differences are due to differences in the denominator or base used for the calculation.
Subgroups Used for Comparison Charts
Overall: All Jewish adults or all Jewish households.
Engagement groups: See chapter 3 for an explanation of the engagement groups.
Geography: Individuals or households living in Lakewood Ranch, Longboat Key and nearby Sarasota, the rest of Sarasota County, and the rest of Manatee County. See Figure 2.4 in the main report for more information.
Respondent age: The age of the respondent.
Seasonality: Seasonal residents live in Sarasota-Manatee between 3-8 months of the year. Year-round residents live in the area for 9-12 months of the year.
Marriage type, individual: Unmarried are respondents who are not living with any partner (spouse, fiancé/e, or significant other.) Inmarried are Jewish respondents living with a Jewish partner. Intermarried are Jewish respondents living with a non-Jewish partner.
Marriage type, household: Unmarried are households with no coupled individual. Inmarried are households containing two Jews who are partnered (spouse, fiancé/e, or significant other.) Intermarried are households containing a Jew and non-Jew who are partnered.
16
-
Demographics
⌂HH
has
chi
ldre
n
⌂HH
is c
oupl
e, n
o ki
ds
⌂HH
is m
ultig
ener
atio
nal a
dults
⌂HH
is si
ngle
adu
lt
⌂HH
is ro
omm
ates
Mal
e
Fem
ale
Overall 15% 40% 12% 33% 0% 48% 52%
Minimally Involved 8% 43% 8% 41%
-
Demographics
Age
18-4
9
Age
50-6
4
Age
65-7
4
Age
75 +
Gra
duat
ed h
igh
scho
ol, s
ome
colle
ge, a
ssoc
iate
's de
gree
Has B
ache
lor's
deg
ree
Has g
radu
ate
degr
ee
Overall 19% 26% 26% 28% 51% 20% 29%
Minimally Involved 16% 33% 24% 26% 53% 20% 27%Holiday 16% 16% 30% 38% 42% 26% 32%
Personal 30% 24% 27% 19% 45% 20% 34%Communal 6% 16% 26% 52% 22% 29% 49%Immersed 11% 57% 14% 18% 59% 18% 23%
Lakewood Ranch 17% 29% 30% 24% 45% 23% 32%Coastal areas/Downtown Sarasota 9% 31% 31% 29% 21% 36% 42%
Rest of Sarasota County 23% 25% 26% 26% 60% 14% 26%Rest of Manatee County 26% 15% 26% 32% 58% 19% 23%
Resp. age 18-49 67% 15% 19%Resp. age 50-64 53% 21% 26%Resp. age 65-74 47% 23% 30%Resp. age 75 + 40% 21% 39%
Seasonal 3% 18% 33% 46% 16% 39% 45%Year-round 23% 26% 27% 24% 56% 17% 27%
Unmarried 33% 18% 16% 33% 72% 10% 18%Inmarried 9% 24% 39% 28% 34% 30% 37%
Intermarried 28% 36% 17% 19% 60% 13% 27%
18
-
Demographics
Ort
hodo
x
Cons
erva
tive
Refo
rm
Oth
er d
enom
inat
ion
No
deno
min
atio
n
Overall 2% 24% 46% 2% 27%
Minimally Involved
-
Demographics
Min
imal
ly In
volv
ed e
ngag
emen
t gr
oup
Holid
ay e
ngag
emen
t gro
up
Pers
onal
eng
agem
ent g
roup
Com
mun
al e
ngag
emen
t gro
up
Imm
erse
d en
gage
men
t gro
up
Inm
arrie
d
Inte
rmar
ried
Unm
arrie
d
Overall 41% 17% 20% 14% 8% 49% 23% 29%
Minimally Involved 29% 39% 32%Holiday 64% 4% 32%
Personal 45% 33% 22%Communal 75% 8% 17%Immersed 83% 10% 7%
Lakewood Ranch 44% 21% 20% 10% 5% 60% 21% 19%Coastal areas/Downtown Sarasota 23% 26% 20% 22% 10% 59% 26% 15%
Rest of Sarasota County 47% 17% 12% 14% 10% 50% 19% 31%Rest of Manatee County 41% 13% 34% 9% 4% 26% 29% 45%
Resp. age 18-49 38% 16% 35% 5% 5% 22% 31% 48%Resp. age 50-64 48% 10% 17% 8% 17% 47% 33% 21%Resp. age 65-74 39% 21% 21% 14% 5% 69% 14% 17%Resp. age 75 + 35% 23% 13% 24% 5% 50% 15% 35%
Seasonal 18% 27% 11% 30% 15% 75% 12% 13%Year-round 44% 17% 21% 11% 7% 44% 24% 32%
Unmarried 50% 23% 17% 9% 2%Inmarried 23% 24% 18% 21% 14%
Intermarried 63% 3% 26% 5% 3%
20
-
Subpopulations
⌂HH
incl
udes
inte
rfai
th c
oupl
e
⌂HH
incl
udes
Hol
ocau
st
surv
ivor
⌂HH
incl
udes
Rus
sain
spea
ker
⌂HH
incl
udes
Heb
rew
spea
ker
⌂HH
incl
udes
Spa
nish
spea
ker
⌂HH
incl
udes
spea
ker w
ith
othe
r sec
ond
lang
uage
⌂HH
with
seco
nd la
ngua
ge
spea
ker:
lang
uage
was
a b
arrie
r to
par
ticip
atio
n in
Jew
ish li
fe
Overall 18% 2% 10% 11% 2% 47% 3%
Minimally Involved 31%
-
Jewish Background
Has n
o Je
wish
par
ents
Has 1
Jew
ish p
aren
t
Has 2
Jew
ish p
aren
ts
Raise
d Je
wish
Raise
d Je
wish
+ a
noth
er re
ligio
n
Raise
d in
no
relig
ion
Raise
d in
oth
er re
ligio
n
Atte
nded
Jew
ish sc
hool
dur
ing
K-12
Overall 4% 14% 83% 69% 4% 6% 21% 54%
Minimally Involved
-
Residence
Seas
onal
Year
-rou
nd
Lake
woo
d Ra
nch
Coas
tal a
reas
/Dow
ntow
n Sa
raso
ta
Rest
of S
aras
ota
Coun
ty
Rest
of M
anat
ee C
ount
y
Overall 16% 84% 11% 20% 50% 19%
Minimally Involved 8% 92% 14% 12% 53% 21%Holiday 24% 76% 14% 30% 41% 14%
Personal 9% 91% 13% 22% 28% 37%Communal 35% 65% 8% 33% 46% 13%Immersed 29% 71% 8% 26% 55% 10%
Lakewood Ranch 8% 92%Coastal areas/Downtown Sarasota 44% 56%
Rest of Sarasota County 8% 92%Rest of Manatee County 8% 92%
Resp. age 18-49 3% 97% 9% 8% 58% 24%Resp. age 50-64 11% 89% 13% 24% 51% 12%Resp. age 65-74 18% 82% 12% 22% 47% 18%Resp. age 75 + 25% 75% 10% 21% 47% 22%
Seasonal 6% 57% 27% 10%Year-round 12% 13% 55% 20%
Unmarried 7% 93% 7% 10% 53% 29%Inmarried 23% 77% 14% 25% 51% 10%
Intermarried 9% 91% 10% 23% 43% 24%
23
-
Residence
Live
d in
Sar
asot
a-M
anat
ee fo
r 0-
9 ye
ars
Live
d in
Sar
asot
a-M
anat
ee fo
r 10
-19
year
s
Live
d in
Sar
asot
a-M
anat
ee fo
r 20
-29
year
s
Live
d in
Sar
asot
a-M
anat
ee fo
r 30
+ ye
ars
⌂HH
has
chi
ldre
n in
oth
er
Sara
sota
-Man
atee
hou
seho
ld
⌂HH
has
chi
ldre
n in
oth
er
hous
ehol
d ou
tsid
e Sa
raso
ta-
Man
atee
Overall 28% 42% 12% 19% 10% 55%
Minimally Involved 26% 40% 12% 22% 11% 53%Holiday 30% 48% 7% 15% 5% 73%
Personal 29% 44% 21% 6% 14% 55%Communal 39% 33% 16% 12% 11% 69%Immersed 18% 66% 6% 10% 11% 53%
Lakewood Ranch 29% 52% 7% 12% 10% 61%Coastal areas/Downtown Sarasota 24% 43% 12% 21% 10% 67%
Rest of Sarasota County 27% 39% 9% 24% 10% 53%Rest of Manatee County 35% 40% 19% 7% 11% 56%
Resp. age 18-49 34% 46% 9% 11% 2% 7%Resp. age 50-64 22% 46% 12% 20% 7% 50%Resp. age 65-74 41% 24% 8% 27% 10% 66%Resp. age 75 + 17% 52% 16% 14% 17% 78%
Seasonal 34% 43% 14% 10% 1% 87%Year-round 27% 42% 11% 20% 12% 52%
Unmarried 28% 44% 6% 22% 12% 51%Inmarried 34% 36% 13% 17% 7% 71%
Intermarried 16% 49% 16% 18% 12% 51%
24
-
Residence
⌂HH
has
no
child
ren
in o
ther
ho
useh
old
⌂HH
has
par
ents
in o
ther
Sa
raso
ta-M
anat
ee h
ouse
hold
⌂HH
ow
ns h
ome
⌂HH
has
seco
nd h
ome
⌂ S
aras
ota-
Man
atee
hom
e is
prim
ary
resid
ence
⌂ S
aras
ota-
Man
atee
hom
e is
seas
onal
resid
ence
Overall 35% 20% 84% 23% 57% 36%
Minimally Involved 37% 24% 79% 12% 56% 38%Holiday 22% 45% 93% 35% 76% 24%
Personal 31% 11% 81% 26% 66% 26%Communal 20% 21% 87% 34% 36% 57%Immersed 36% 24% 81% 47% 22% 54%
Lakewood Ranch 29% 18% 68% 8% 73% 27%Coastal areas/Downtown Sarasota 23% 18% 83% 49% 46% 46%
Rest of Sarasota County 37% 30% 85% 18% 65% 25%Rest of Manatee County 34% 17% 86% 14% 72% 28%
Resp. age 18-49 91% 51% 91% 10% -- --Resp. age 50-64 42% 22% 91% 23% 44% 43%Resp. age 65-74 24% 9% 81% 28% 66% 22%Resp. age 75 + 5% -- 75% 23% 57% 43%
Seasonal 12% 12% 85% 100% 42% 51%Year-round 36% 25% 83% 9% 89% 5%
Unmarried 37% 27% 75% 16% 78% 22%Inmarried 22% 22% 86% 31% 39% 49%
Intermarried 38% 21% 91% 24% 64% 30%
25
-
Residence
⌂ S
aras
ota-
Man
atee
hom
e is
a va
catio
n ho
me
⌂ S
aras
ota-
Man
atee
hom
e is
for
wee
kend
get
away
s
⌂Se
cond
hom
e: p
lans
to
incr
ease
tim
e in
Sar
asot
a-M
anat
ee
⌂Se
cond
hom
e: p
lans
to
decr
ease
tim
e in
Sar
asot
a-M
anat
ee
⌂Se
cond
hom
e: p
lans
no
chan
ge in
tim
e sp
ent i
n Sa
raso
ta-
Man
atee
Overall 6% 2% 38% 4% 58%
Minimally Involved 6% 0% 22% 9% 69%Holiday 0% 0% 39% 4% 57%
Personal 0% 8% 56% 0% 44%Communal 7% 0% 43% 1% 56%Immersed 24% 0% 39% 15% 46%
Lakewood Ranch 0% 0% 37% 0% 63%Coastal areas/Downtown Sarasota 5% 4% 44% 4% 52%
Rest of Sarasota County 9% 0% 45% 7% 48%Rest of Manatee County 0% 0% 12% 5% 83%
Resp. age 18-49 -- -- -- -- --Resp. age 50-64 5% 8% 33% 11% 55%Resp. age 65-74 12% 0% 46% 2% 52%Resp. age 75 + 0% 0% 28% 1% 71%
Seasonal 8% 0% 42% 3% 55%Year-round 0% 6% 32% 9% 59%
Unmarried 0% 0% 54% 11% 35%Inmarried 12% 0% 48% 2% 49%
Intermarried 0% 6% 14% 3% 83%
26
-
Jewish Education
⌂O
f age
-elig
ible
, chi
ld in
any
Je
wish
edu
catio
n
⌂O
f age
-elig
ible
, chi
ld in
Jew
ish
pre-
scho
ol
⌂O
f age
-elig
ible
, chi
ld in
K-1
2 fo
rmal
Jew
ish e
duca
tion
⌂O
f age
-elig
ible
, chi
ld in
Jew
ish
part
-tim
e sc
hool
⌂O
f age
-elig
ible
, chi
ld in
Jew
ish
day
scho
ol
⌂O
f age
-elig
ible
, chi
ld in
K-1
2 in
form
al Je
wish
edu
catio
n
Overall 32% 27% 9% 8% 6% 35%
Minimally Involved 0% -- -- -- -- --Holiday 7% -- 18% 15% 13% 48%Personal 6% -- 6% -- -- 31%
Communal 13% -- 17% 23%
-
Jewish Education
⌂O
f age
-elig
ible
, chi
ld in
priv
ate
Jew
ish c
lass
es
⌂O
f age
-elig
ible
, chi
ld in
Jew
ish
day
cam
p
⌂O
f age
-elig
ible
, chi
ld in
Jew
ish
over
nigh
t cam
p
⌂O
f age
-elig
ible
, chi
ld in
Jew
ish
yout
h gr
oup
⌂O
f age
-elig
ible
, chi
ld w
ho w
ent
on p
eer t
rip to
Isra
el
Overall 29% 5% 12% 28% 14%
Minimally Involved -- -- -- -- --Holiday 42% 2% 33% -- --Personal 25% 18% 1% -- --
Communal 72% 3% 32% 60% 25%Immersed 71% 14% 35% 68% --
Lakewood Ranch 59% 1% 28% -- --Coastal areas/Downtown Sarasota 46% 24% 25% 31% 20%
Rest of Sarasota County 25% 3% 10% 36% 11%Rest of Manatee County -- -- -- -- --
Resp. age 18-49 31% 2% 24% 59% 21%Resp. age 50-64 29% 8% 7% 26% 9%Resp. age 65-74Resp. age 75 +
SeasonalYear-round
Unmarried 25% 3% 21% 29% --Inmarried 65% 6% 27% 55% 21%
Intermarried 10% 7% 2% 6% 5%
28
-
Synagogues
⌂HH
is lo
cal s
ynag
ogue
mem
ber
⌂HH
is o
ut-o
f-are
a sy
nago
gue
mem
ber
⌂HH
is n
ot sy
nago
gue
mem
ber
⌂O
f syn
agog
ue m
embe
rs, 0
lo
cal s
ynag
ogue
s
⌂O
f syn
agog
ue m
embe
rs, 1
lo
cal s
ynag
ogue
⌂O
f syn
agog
ue m
embe
rs,
mul
tiple
loca
l syn
agog
ues
Overall 16% 12% 72% 43% 55% 1%
Minimally Involved
-
Synagogues
Form
er sy
nago
gue
mem
ber
Form
er sy
nago
gue
mem
ber 0
-4
year
s ago
Form
er sy
nago
gue
mem
ber 5
-9
year
s ago
Form
er sy
nago
gue
mem
ber 1
0+
year
s ago
Form
er sy
nago
gue
mem
ber i
n Sa
raso
ta-M
anat
ee
Nev
er sy
nago
gue
mem
ber
Overall 55% 19% 20% 62% 35% 45%
Minimally Involved 55% 9% 15% 75% 29% 45%Holiday 16% 11% 3% 86% 18% 84%
Personal 32% 30% 18% 52% 33% 68%Communal -- -- -- -- -- --Immersed -- -- -- -- -- --
Lakewood Ranch 35% 18% 10% 73% 37% 65%Coastal areas/Downtown Sarasota 25% 40% 3% 57% 35% 75%
Rest of Sarasota County 49% 22% 22% 56% 41% 51%Rest of Manatee County 59% 7% 24% 69% 20% 41%
Resp. age 18-49 69% 75% 19% 7% 64% 31%Resp. age 50-64 48% 19% 51% 31% 60% 52%Resp. age 65-74 45% 17% 7% 76% 22% 55%Resp. age 75 + 21% 6% 1% 93% 20% 79%
Seasonal 25% 24% 8% 68% 4% 75%Year-round 47% 22% 18% 59% 40% 53%
Unmarried 47% 26% 10% 64% 38% 53%Inmarried 32% 13% 29% 57% 38% 68%
Intermarried 63% 35% 2% 63% 31% 37%
30
-
Synagogues
Atte
nds s
ervi
ces:
Nev
er
Atte
nds s
ervi
ces:
< M
onth
ly
Atte
nds s
ervi
ces:
Mon
thly
+
Atte
nded
serv
ices
dur
ing
2018
Hi
gh H
oly
Days
⌂Br
ick-
and-
mor
tar s
ynag
ogue
m
embe
r due
s pay
ing
⌂Ch
abad
mem
ber
Overall 38% 45% 18% 43% 12% 2%
Minimally Involved 84% 16% 0%
-
Synagogues
Feel
com
fort
able
ent
erin
g a
Jew
ish p
lace
of w
orsh
ip: S
tron
gly
disa
gree
Feel
com
fort
able
ent
erin
g a
Jew
ish p
lace
of w
orsh
ip:
Disa
gree
Feel
com
fort
able
ent
erin
g a
Jew
ish p
lace
of w
orsh
ip: N
eutr
al
Feel
com
fort
able
ent
erin
g a
Jew
ish p
lace
of w
orsh
ip: A
gree
Feel
com
fort
able
ent
erin
g a
Jew
ish p
lace
of w
orsh
ip: S
tron
gly
agre
e
Overall 0% 3% 11% 33% 53%
Minimally Involved
-
Ritual Behaviors
⌂HH
ligh
ts S
habb
at c
andl
es:
Nev
er
⌂HH
ligh
ts S
habb
at c
andl
es:
Som
etim
es
⌂HH
ligh
ts S
habb
at c
andl
es:
Usu
ally
⌂HH
ligh
ts S
habb
at c
andl
es:
Alw
ays
⌂HH
has
Sha
bbat
mea
l: N
ever
⌂HH
has
Sha
bbat
mea
l: So
met
imes
⌂HH
has
Sha
bbat
mea
l: U
sual
ly
⌂HH
has
Sha
bbat
mea
l: Al
way
s
Overall 63% 23% 6% 7% 56% 35% 5% 3%
Minimally Involved 93% 5% 3% 0% 81% 16% 3%
-
Ritual Behaviors
Fast
ed o
n Yo
m K
ippu
r: Fu
ll da
y
Fast
ed o
n Yo
m K
ippu
r: Pa
rt d
ay
Fast
ed o
n Yo
m K
ippu
r: Co
uld
not
for m
edic
al re
ason
s
Fast
ed o
n Yo
m K
ippu
r: N
o
⌂HH
att
ends
sede
r in
typi
cal
year
⌂HH
ligh
ts H
anuk
kah
cand
les i
n ty
pica
l yea
r
⌂HH
has
mez
uzah
on
door
Overall 39% 12% 17% 32% 68% 72% 64%
Minimally Involved 12% 7% 12% 69% 39% 45% 33%Holiday 63% 12% 10% 15% 85% 95% 91%
Personal 26% 23% 30% 21% 96% 89% 84%Communal 44% 25% 18% 13% 99% 96% 91%Immersed 86% 6% 8% 1% 100% 100% 90%
Lakewood Ranch 41% 12% 19% 28% 78% 59% 49%Coastal areas/Downtown Sarasota 41% 19% 13% 27% 82% 82% 73%
Rest of Sarasota County 45% 10% 11% 33% 58% 74% 63%Rest of Manatee County 26% 10% 22% 42% 69% 66% 63%
Resp. age 18-49 49% 7% 13% 31% 74% 81% 57%Resp. age 50-64 37% 9% 7% 47% 71% 72% 60%Resp. age 65-74 41% 15% 16% 28% 70% 72% 65%Resp. age 75 + 37% 16% 20% 27% 62% 68% 66%
Seasonal 51% 17% 14% 18% 90% 94% 83%Year-round 38% 12% 15% 36% 65% 69% 61%
Unmarried 42% 12% 13% 33% 64% 54% 50%Inmarried 50% 15% 12% 24% 82% 92% 83%
Intermarried 16% 7% 22% 55% 58% 75% 59%
34
-
Ritual Behaviors
Does
n't k
eep
kosh
er
Follo
ws s
ome
kosh
er ru
les
Keep
s kos
her a
t hom
e
Keep
s kos
her a
lway
s
Overall 74% 18% 3% 4%
Minimally Involved 90% 7% 3% 0%Holiday 95% 5%
-
Aspects of Being Jewish
Bein
g Je
wish
is a
mat
ter o
f cu
lture
: Not
at a
ll
Bein
g Je
wish
is a
mat
ter o
f cu
lture
: A li
ttle
Bein
g Je
wish
is a
mat
ter o
f cu
lture
: Som
ewha
t
Bein
g Je
wish
is a
mat
ter o
f cu
lture
: Ver
y m
uch
Bein
g Je
wish
is a
mat
ter o
f et
hnic
ity: N
ot a
t all
Bein
g Je
wish
is a
mat
ter o
f et
hnic
ity: A
litt
le
Bein
g Je
wish
is a
mat
ter o
f et
hnic
ity: S
omew
hat
Bein
g Je
wish
is a
mat
ter o
f et
hnic
ity: V
ery
muc
h
Overall 1% 5% 23% 71% 6% 7% 19% 67%
Minimally Involved 2% 8% 39% 51% 5% 8% 32% 56%Holiday
-
Aspects of Being Jewish
Bein
g Je
wish
is a
mat
ter o
f re
ligio
n: N
ot a
t all
Bein
g Je
wish
is a
mat
ter o
f re
ligio
n: A
litt
le
Bein
g Je
wish
is a
mat
ter o
f re
ligio
n: S
omew
hat
Bein
g Je
wish
is a
mat
ter o
f re
ligio
n: V
ery
muc
h
Bein
g Je
wish
is a
mat
ter o
f co
mm
unity
: Not
at a
ll
Bein
g Je
wish
is a
mat
ter o
f co
mm
unity
: A li
ttle
Bein
g Je
wish
is a
mat
ter o
f co
mm
unity
: Som
ewha
t
Bein
g Je
wish
is a
mat
ter o
f co
mm
unity
: Ver
y m
uch
Overall 9% 14% 22% 56% 7% 10% 31% 51%
Minimally Involved 25% 28% 15% 32% 15% 17% 43% 25%Holiday 3% 15% 13% 69% 2% 7% 18% 73%Personal 1% 8% 24% 67% 6% 2% 32% 60%
Communal 1% 2% 17% 81%
-
Aspects of Being Jewish
Bein
g Je
wish
mea
ns w
orki
ng fo
r ju
stic
e &
equ
ality
in so
ciet
y:
Esse
ntia
l
Bein
g Je
wish
mea
ns w
orki
ng fo
r ju
stic
e &
equ
ality
in so
ciet
y:
Impo
rtan
t, no
t ess
entia
l
Bein
g Je
wish
mea
ns w
orki
ng fo
r ju
stic
e &
equ
ality
in so
ciet
y: N
ot
impo
rtan
t
Bein
g Je
wish
mea
ns le
adin
g an
et
hica
l & m
oral
life
: Ess
entia
l
Bein
g Je
wish
mea
ns le
adin
g an
et
hica
l & m
oral
life
: Im
port
ant,
not e
ssen
tial
Bein
g Je
wish
mea
ns le
adin
g an
et
hica
l & m
oral
life
: Not
im
port
ant
Bein
g Je
wish
mea
ns b
eing
par
t of
a Je
wish
com
mun
ity: E
ssen
tial
Bein
g Je
wish
mea
ns b
eing
par
t of
a Je
wish
com
mun
ity:
Impo
rtan
t, no
t ess
entia
l
Bein
g Je
wish
mea
ns b
eing
par
t of
a Je
wish
com
mun
ity: N
ot
impo
rtan
t
Overall 59% 36% 4% 81% 18% 2% 28% 52% 20%
Minimally Involved 62% 29% 9% 77% 18% 5% 9% 58% 33%Holiday 62% 32% 6% 83% 16% 1% 36% 61% 3%Personal 55% 43% 2% 82% 18%
-
Antisemitism
Conc
erne
d ab
out a
ntise
miti
sm
in th
e U
S: N
ot a
t all
Conc
erne
d ab
out a
ntise
miti
sm
in th
e U
S: A
litt
le
Conc
erne
d ab
out a
ntise
miti
sm
in th
e U
S: S
omew
hat
Conc
erne
d ab
out a
ntise
miti
sm
in th
e U
S: V
ery
muc
h
Conc
erne
d ab
out a
ntise
miti
sm
in S
aras
ota-
Man
atee
: Not
at a
ll
Conc
erne
d ab
out a
ntise
miti
sm
in S
aras
ota-
Man
atee
: A li
ttle
Conc
erne
d ab
out a
ntise
miti
sm
in S
aras
ota-
Man
atee
: Som
ewha
t
Conc
erne
d ab
out a
ntise
miti
sm
in S
aras
ota-
Man
atee
: Ver
y m
uch
Pers
onal
ly e
xper
ienc
ed
antis
emiti
sm in
the
past
thre
e ye
ars
Overall 1% 6% 14% 79% 14% 21% 25% 40% 27%
Minimally Involved 3% 5% 19% 73% 13% 31% 26% 29% 27%Holiday 1% 5% 14% 80% 12% 26% 31% 31% 7%Personal 0% 2% 15% 83% 11% 10% 26% 53% 32%
Communal
-
Community Connections
Non
e of
my
clos
est f
riend
s are
Je
wish
Som
e of
my
clos
est f
riend
s are
Je
wish
Abou
t hal
f of m
y cl
oses
t frie
nds
are
Jew
ish
Mos
t of m
y cl
oses
t frie
nds a
re
Jew
ish
All o
f my
clos
est f
riend
s are
Je
wish
Overall 11% 38% 16% 34% 1%
Minimally Involved 12% 57% 10% 21%
-
Community Connections
Feel
like
par
t of w
orld
wid
e Je
wish
com
mun
ity: N
ot a
t all
Feel
like
par
t of w
orld
wid
e Je
wish
com
mun
ity: A
litt
le
Feel
like
par
t of w
orld
wid
e Je
wish
com
mun
ity: S
omew
hat
Feel
like
par
t of w
orld
wid
e Je
wish
com
mun
ity: V
ery
muc
h
Feel
like
par
t of S
arao
sta-
Man
atee
Jew
ish c
omm
unity
: Not
at
all
Feel
like
par
t of S
arao
sta-
Man
atee
Jew
ish c
omm
unity
: A
little
Feel
like
par
t of S
arao
sta-
Man
atee
Jew
ish c
omm
unity
: So
mew
hat
Feel
like
par
t of S
arao
sta-
Man
atee
Jew
ish c
omm
unity
: Ve
ry m
uch
Overall 12% 21% 37% 30% 40% 22% 27% 11%
Minimally Involved 17% 42% 26% 15% 61% 29% 10% 0%Holiday 14% 16% 40% 29% 21% 28% 30% 21%
Personal 1% 18% 25% 57% 33% 27% 29% 11%Communal
-
Community Connections
Feel
like
par
t of t
he Je
wish
co
mm
unity
whe
re I
have
my
seco
nd h
ome:
Not
at a
ll
Feel
like
par
t of t
he Je
wish
co
mm
unity
whe
re I
have
my
seco
nd h
ome:
A li
ttle
Feel
like
par
t of t
he Je
wish
co
mm
unity
whe
re I
have
my
seco
nd h
ome:
Som
ewha
t
Feel
like
par
t of t
he Je
wish
co
mm
unity
whe
re I
have
my
seco
nd h
ome:
Ver
y m
uch
Feel
like
bei
ng Je
wish
is p
art o
f da
ily li
fe: N
ot a
t all
Feel
like
bei
ng Je
wish
is p
art o
f da
ily li
fe: A
litt
le
Feel
like
bei
ng Je
wish
is p
art o
f da
ily li
fe: S
omew
hat
Feel
like
bei
ng Je
wish
is p
art o
f da
ily li
fe: V
ery
muc
h
Overall 18% 17% 26% 40% 13% 22% 30% 35%
Minimally Involved 53% 21% 25% 2% 24% 37% 29% 10%Holiday 4% 19% 7% 70% 17% 22% 25% 36%
Personal 32% 18% 37% 13%
-
Community Connections
Stro
ng se
nse
of b
elon
ging
to th
e Je
wish
peo
ple:
Str
ongl
y di
sagr
ee
Stro
ng se
nse
of b
elon
ging
to th
e Je
wish
peo
ple:
Disa
gree
Stro
ng se
nse
of b
elon
ging
to th
e Je
wish
peo
ple:
Neu
tral
Stro
ng se
nse
of b
elon
ging
to th
e Je
wish
peo
ple:
Agr
ee
Stro
ng se
nse
of b
elon
ging
to th
e Je
wish
peo
ple:
Str
ongl
y ag
ree
Feel
con
nect
ed to
oth
er Je
wish
pe
ole
even
if d
on't
know
them
pe
rson
ally
: Str
ongl
y di
sagr
ee
Feel
con
nect
ed to
oth
er Je
wish
pe
ole
even
if d
on't
know
them
pe
rson
ally
: Disa
gree
Feel
con
nect
ed to
oth
er Je
wish
pe
ole
even
if d
on't
know
them
pe
rson
ally
: Neu
tral
Overall 1% 2% 11% 36% 50% 3% 3% 11%
Minimally Involved 2% 6% 19% 54% 20% 3% 8% 20%Holiday 1%
-
Community Connections
Feel
con
nect
ed to
oth
er Je
wish
pe
ole
even
if d
on't
know
them
pe
rson
ally
: Agr
ee
Feel
con
nect
ed to
oth
er Je
wish
pe
ole
even
if d
on't
know
them
pe
rson
ally
: Str
ongl
y ag
ree
Feel
resp
onsib
ility
to ta
ke c
are
of Je
ws i
n ne
ed w
here
ver t
hey
live:
Str
ongl
y di
sagr
ee
Feel
resp
onsib
ility
to ta
ke c
are
of Je
ws i
n ne
ed w
here
ver t
hey
live:
Disa
gree
Feel
resp
onsib
ility
to ta
ke c
are
of Je
ws i
n ne
ed w
here
ver t
hey
live:
Neu
tral
Feel
resp
onsib
ility
to ta
ke c
are
of Je
ws i
n ne
ed w
here
ver t
hey
live:
Agr
ee
Feel
resp
onsib
ility
to ta
ke c
are
of Je
ws i
n ne
ed w
here
ver t
hey
live:
Str
ongl
y ag
ree
Overall 52% 31% < 1% 3% 28% 41% 28%
Minimally Involved 60% 10% 2% 8% 38% 43% 9%Holiday 53% 28%
-
Interfaith Families
Amon
g in
term
arrie
d, Je
wish
co
mm
unity
is w
elco
min
g to
in
terf
aith
fam
ilies
: Not
at a
ll
Amon
g in
term
arrie
d, Je
wish
co
mm
unity
is w
elco
min
g to
in
terf
aith
fam
ilies
: A li
ttle
Amon
g in
term
arrie
d, Je
wish
co
mm
unity
is w
elco
min
g to
in
terf
aith
fam
ilies
: Som
ewha
t
Amon
g in
term
arrie
d, Je
wish
co
mm
unity
is w
elco
min
g to
in
terf
aith
fam
ilies
: Ver
y m
uch
Amon
g in
term
arrie
d, Je
wish
co
mm
unity
is w
elco
min
g to
in
terf
aith
fam
ilies
: No
Opi
nion
Overall 3% 7% 33% 18% 39%
Minimally Involved 2% 6% 29% 16% 47%Holiday 0% 6% 18% 30% 46%
Personal 14% 2% 36% 22% 25%Communal 0% 1% 29% 49% 21%Immersed -- -- -- -- --
Lakewood Ranch 1% 19% 9% 33% 38%Coastal areas/Downtown Sarasota 20% 7% 19% 26% 28%
Rest of Sarasota County 2% 3% 30% 19% 46%Rest of Manatee County 3% 2% 52% 8% 35%
Resp. age 18-49
-
Israel
Been
to Is
rael
: Nev
er
Been
to Is
rael
: Onc
e
Been
to Is
rael
: Mul
tiple
tim
es
Been
to Is
rael
: Liv
ed
ther
e/Is
rael
i citi
zen
Been
to Is
rael
on
Birt
hrig
ht
Isra
el (a
mon
g ag
e-el
igib
le)
Been
to Is
rael
on
educ
atio
n/vo
lunt
eer t
rip
Been
to Is
rael
on
trip
spon
sore
d by
Jew
ish o
rgan
izatio
n
Been
to Is
rael
on
a bu
sines
s trip
Been
to Is
rael
on
a lo
ng-t
erm
pr
ogra
m (6
wee
ks o
r mor
e)
Overall 44% 28% 19% 8% 11% 6% 20% 4% 6%
Minimally Involved 66% 18% 12% 4% 14% 2% 10% 6% 1%Holiday 42% 25% 29% 4% 11% 5% 25% 1% 4%Personal 35% 45% 15% 4% -- 8% 17% 2% 9%
Communal 16% 51% 29% 5% 12% 15% 32% 8% 9%Immersed 29% 14% 45% 12% 4% 14% 20% 5% 25%
Lakewood Ranch 50% 30% 15% 5% -- 4% 12% 2% 8%Coastal areas/Downtown Sarasota 19% 39% 42% 1% 2% 13% 31% 5% 10%
Rest of Sarasota County 52% 20% 13% 15% 3% 5% 15% 5% 4%Rest of Manatee County 46% 39% 14% 2% 32% 3% 19% 2% 4%
Resp. age 18-49 58% 30% 9% 3% 5% 19% 1% 8%Resp. age 50-64 49% 22% 24% 4% 7% 9% 5% 9%Resp. age 65-74 28% 33% 18% 21% 5% 18% 4% 4%Resp. age 75 + 45% 30% 20% 5% 5% 25% 5% 1%
Seasonal 18% 29% 52% 1% -- 9% 45% 6% 4%Year-round 49% 28% 13% 10% 12% 5% 14% 4% 6%
Unmarried 50% 34% 11% 5% 17% 4% 27% 1% 3%Inmarried 31% 29% 26% 14% 8% 8% 19% 3% 7%
Intermarried 65% 21% 13% 1% 1% 4% 6% 9% 5%
46
-
Israel
Rela
tives
in Is
rael
Frie
nds i
n Is
rael
Both
rela
tives
and
frie
nds i
n Is
rael
Nei
ther
rela
tives
nor
frie
nds i
n Is
rael
In p
ast m
onth
, sou
ght o
ut n
ews
abou
t Isr
ael:
Nev
er
In p
ast m
onth
, sou
ght o
ut n
ews
abou
t Isr
ael:
Onc
e or
twic
e
In p
ast m
onth
, sou
ght o
ut n
ews
abou
t Isr
ael:
Wee
kly
In p
ast m
onth
, sou
ght o
ut n
ews
abou
t Isr
ael:
< Da
ily
In p
ast m
onth
, sou
ght o
ut n
ews
abou
t Isr
ael:
Daily
+
Overall 21% 14% 11% 53% 23% 31% 11% 16% 19%
Minimally Involved 29% 6% 5% 60% 35% 36% 12% 9% 7%Holiday 15% 10% 2% 73% 33% 35% 9% 12% 11%Personal 26% 27% 9% 38% 4% 27% 6% 39% 23%
Communal 41% 16% 6% 37% 14% 24% 24% 20% 18%Immersed 19% 16% 29% 36%
-
Israel
Feel
a c
onne
ctio
n to
Isra
el: N
ot
at a
ll
Feel
a c
onne
ctio
n to
Isra
el: A
lit
tle
Feel
a c
onne
ctio
n to
Isra
el:
Som
ewha
t
Feel
a c
onne
ctio
n to
Isra
el: V
ery
muc
h
Read
ing
Hebr
ew: D
on't
know
th
e al
phae
bt
Read
ing
Hebr
ew: C
an re
ad th
e le
tter
s but
don
't un
ders
tand
Read
ing
Hebr
ew: U
nder
stan
d so
me
of w
hat I
read
Read
ing
Hebr
ew: U
nder
stan
d m
ost o
f wha
t I re
ad
Read
ing
Hebr
ew: U
nder
stan
d ev
eryt
hing
I re
ad
Overall 11% 21% 28% 40% 39% 27% 23% 9% 2%
Minimally Involved 20% 33% 25% 22% 60% 20% 16% 3%
-
Organizations
⌂HH
pai
d du
es to
Jew
ish
orga
niza
tion
in S
aras
ota-
Man
atee
, asid
e fr
om a
sy
nago
gue
⌂HH
pay
s due
s to
Bran
deis
Nat
iona
l Com
mitt
ee
⌂HH
pay
s due
s to
ORT
⌂HH
pay
s due
s to
Hada
ssah
⌂HH
pay
s due
s to
othe
r Sa
raso
ta-M
anat
ee Je
wish
or
gani
zatio
n
⌂HH
pay
s due
s to
Jew
ish
orga
niza
tion
in o
ther
hom
e co
mm
unity
⌂HH
bel
ongs
to Je
wish
gro
up in
Sa
raso
ta-M
anat
ee
⌂HH
bel
ongs
to Je
wish
gro
up in
ot
her h
ome
com
mun
ity
⌂HH
, in
past
yea
r, at
tend
ed a
pr
ogra
m ru
n by
Cha
bad
in
Sara
sota
-Man
atee
⌂HH
, in
past
yea
r, at
tend
ed a
pr
ogra
m ru
n by
Cha
bad
outs
ide
Sara
sota
-Man
atee
⌂HH
, in
past
yea
r, at
tend
ed a
pr
ogra
m ru
n by
Cha
bad
both
in
and
outs
ide
Sara
sota
-Man
atee
Overall 19% 2% 2% 3% 12% 55% 10% 16% 14% 6% 1%
Minimally Involved 5%
-
Organizations
Atte
nded
Jew
ish p
rogr
am, e
vent
, or
cla
ss in
Sar
asot
a-M
anat
ee: A
t le
ast m
onth
ly
Atte
nded
Jew
ish p
rogr
am, e
vent
, or
cla
ss in
Sar
asot
a-M
anat
ee: <
M
onth
ly
Atte
nded
Jew
ish p
rogr
am, e
vent
, or
cla
ss in
Sar
asot
a-M
anat
ee:
Nev
er
Read
mat
eria
l pro
duce
d by
Je
wish
org
aniza
tion
in S
aras
ota-
Man
atee
: At l
east
mon
thly
Read
mat
eria
l pro
duce
d by
Je
wish
org
aniza
tion
in S
aras
pta-
Man
atee
: < M
onth
ly
Read
mat
eria
l pro
duce
d by
Je
wish
org
aniza
tion
in S
aras
ota-
Man
atee
: Nev
er
Atte
nded
Jew
ish p
rogr
am o
r ac
tivity
at t
he Je
wish
Fed
erat
ion
of S
M: A
t lea
st m
onth
ly
Atte
nded
Jew
ish p
rogr
am o
r ac
tivity
at t
he Je
wish
Fed
erat
ion
of S
M: <
Mon
thly
Atte
nded
Jew
ish p
rogr
am o
r ac
tivity
at t
he Je
wish
Fed
erat
ion
of S
M: N
ever
Atte
nded
Jew
ish p
rogr
am, e
vent
, or