Survey of Jewish South Africans 1998
South Africa, 1998
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Reference ID
zaf-ijpr-sjsa-1998-v1
Producer(s)
Institute for Jewish Policy Research, Kaplan Centre for Jewish Studies and Research
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Created on
Mar 26, 2021
Last modified
Mar 26, 2021
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- Data files
- sjsa-1998-anon-v1
City Family 02 lives now (FAMCITY2)
Data file: sjsa-1998-anon-v1
Overview
Valid:
210
Invalid:
790
Type:
Discrete
Decimal:
0
loc_start_pos:
438
loc_end_pos:
440
Width:
3
Range:
1 - 998
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Los Angeles, USA | 9 |
4.3%
|
| 2 | New York, USA | 11 |
5.2%
|
| 3 | Dallas, USA | 2 |
1%
|
| 4 | Houston, USA | 0 |
0%
|
| 5 | California, USA | 1 |
0.5%
|
| 6 | San Francisco, USA | 0 |
0%
|
| 7 | Atlanta, USA | 9 |
4.3%
|
| 8 | Phoenix, USA | 0 |
0%
|
| 9 | Houston, USA | 1 |
0.5%
|
| 10 | Boston, USA | 0 |
0%
|
| 11 | New Jersey, USA | 0 |
0%
|
| 12 | Irvine, USA | 1 |
0.5%
|
| 13 | Kansas City, USA | 0 |
0%
|
| 14 | Seattle, USA | 0 |
0%
|
| 15 | New Haven, USA | 0 |
0%
|
| 16 | Chicago, USA | 1 |
0.5%
|
| 17 | Palm Beach, USA | 1 |
0.5%
|
| 18 | Miami, USA | 1 |
0.5%
|
| 19 | San Diego, USA | 1 |
0.5%
|
| 20 | Amherst, USA | 0 |
0%
|
| 21 | Boca Raton, USA | 1 |
0.5%
|
| 22 | Fort Lauderdale, USA | 0 |
0%
|
| 23 | Manhattan, USA | 0 |
0%
|
| 24 | St. Louis, USA | 0 |
0%
|
| 25 | Tennessee, USA | 1 |
0.5%
|
| 26 | Louisville, USA | 0 |
0%
|
| 27 | Colorado, USA | 0 |
0%
|
| 28 | Hartford, USA | 0 |
0%
|
| 29 | New Rocheile, USA | 1 |
0.5%
|
| 30 | Delaware, USA | 0 |
0%
|
| 31 | Laguna Beach, USA | 0 |
0%
|
| 32 | Philadelphia, USA | 1 |
0.5%
|
| 33 | Washington, USA | 0 |
0%
|
| 34 | Oakland, USA | 0 |
0%
|
| 35 | Laguna, Hills | 0 |
0%
|
| 36 | Cleveland, USA | 0 |
0%
|
| 37 | Charleston, USA | 0 |
0%
|
| 38 | Baltimore, USA | 2 |
1%
|
| 39 | Georgia, USA | 0 |
0%
|
| 40 | Connecticut | 1 |
0.5%
|
| 41 | Florida, USA | 0 |
0%
|
| 42 | Virginia, USA | 0 |
0%
|
| 43 | Albany | 1 |
0.5%
|
| 44 | Appleton | 0 |
0%
|
| 70 | 1 |
0.5%
|
|
| 101 | London, UK | 21 |
10%
|
| 102 | Tittensor, UK | 0 |
0%
|
| 103 | Plymouth, UK | 0 |
0%
|
| 104 | Manchester, UK | 1 |
0.5%
|
| 105 | Bournemouth, UK | 0 |
0%
|
| 106 | Edinburgh, UK | 0 |
0%
|
| 107 | Buckinghamshire, UK | 1 |
0.5%
|
| 108 | Cambridge, UK | 0 |
0%
|
| 109 | Oxford, UK | 1 |
0.5%
|
| 110 | Ashford-on-Kent, UK | 0 |
0%
|
| 111 | Brighton, UK | 1 |
0.5%
|
| 201 | Jerusalem, Israel | 11 |
5.2%
|
| 202 | Tel Aviv, Israel | 8 |
3.8%
|
| 203 | Herzlea, Israel | 0 |
0%
|
| 204 | Natanya, Israel | 3 |
1.4%
|
| 205 | Ranana, Israel | 9 |
4.3%
|
| 206 | Beer Sheba, Israel | 0 |
0%
|
| 207 | Efrat, Israel | 2 |
1%
|
| 208 | Haifa, Israel | 0 |
0%
|
| 209 | Rehovot, Israel | 1 |
0.5%
|
| 210 | Bet-El, Israel | 0 |
0%
|
| 211 | Cesarea, Israel | 0 |
0%
|
| 212 | Upper Gallilee, Israel | 0 |
0%
|
| 213 | Ramat Hasharon, Israel | 0 |
0%
|
| 214 | Kfar Saba, Israel | 1 |
0.5%
|
| 215 | Tiberius, Israel | 0 |
0%
|
| 216 | Rishon Letzion, Israel | 0 |
0%
|
| 217 | Kfar Viekin, Israel | 1 |
0.5%
|
| 218 | Kohav Yair, Israel | 1 |
0.5%
|
| 219 | Moshav Manhof, Israel | 0 |
0%
|
| 220 | Lekish Tzafon, Israel | 0 |
0%
|
| 221 | Tzur Yigal, Israel | 1 |
0.5%
|
| 222 | Ashdod, Israel | 0 |
0%
|
| 223 | Ashkelon, Israel | 1 |
0.5%
|
| 224 | Givatayim, Israel | 0 |
0%
|
| 225 | Zichron Yagkov, Israel | 1 |
0.5%
|
| 226 | North nr. Bagore Valley, Israel | 0 |
0%
|
| 227 | Bet Shemesh, Israel | 0 |
0%
|
| 228 | Ramat Gan, Israel | 0 |
0%
|
| 229 | Yavne, Israel | 0 |
0%
|
| 230 | Sfat, Israel | 0 |
0%
|
| 231 | Rosh Haayin, Israel | 1 |
0.5%
|
| 232 | Afula, Middle East | 0 |
0%
|
| 233 | Arad, Israel | 0 |
0%
|
| 301 | Sydney, Australia | 21 |
10%
|
| 302 | Melbourne, Australia | 14 |
6.7%
|
| 303 | Perth, Australia | 10 |
4.8%
|
| 304 | Wellington, New Zealand | 0 |
0%
|
| 305 | Auckland, New Zealand | 1 |
0.5%
|
| 306 | Adelaide, Australia | 0 |
0%
|
| 307 | Rock Hampton, Australia | 0 |
0%
|
| 308 | Queensland, Australia | 1 |
0.5%
|
| 401 | Toronto, Canada | 12 |
5.7%
|
| 402 | Vancouver, Canada | 1 |
0.5%
|
| 403 | Winnipeg, Canada | 0 |
0%
|
| 404 | Ontaria, Canada | 0 |
0%
|
| 405 | Montreal, Canada | 2 |
1%
|
| 406 | Edmonton, Canada | 1 |
0.5%
|
| 407 | Calgary, Canada | 0 |
0%
|
| 430 | Zurich, Switzerland | 2 |
1%
|
| 431 | San Sebastian, Spain | 1 |
0.5%
|
| 432 | Utrecht, Holland | 0 |
0%
|
| 433 | Mildeshein, Germany | 0 |
0%
|
| 434 | Mulhouse, France | 1 |
0.5%
|
| 435 | Paris, France | 0 |
0%
|
| 436 | Eindhoven, Holland | 0 |
0%
|
| 437 | Lisbon, Portugal | 0 |
0%
|
| 438 | Assen, Holland | 0 |
0%
|
| 470 | Hong Kong | 1 |
0.5%
|
| 501 | Johannesburg, SA | 25 |
11.9%
|
| 502 | Cape Town, SA | 3 |
1.4%
|
| 503 | Pretoria, SA | 0 |
0%
|
| 601 | Windhoek, Africa | 1 |
0.5%
|
| 602 | Gaborone, Africa | 0 |
0%
|
| 603 | Harare, Africa | 0 |
0%
|
| 604 | Nairobi, Kenya | 0 |
0%
|
| 605 | Lusaka, Africa | 0 |
0%
|
| 998 | dk | 0 |
0%
|
| Sysmiss | 790 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.