2018 California Domestic Migration
## # A tibble: 58 x 4
## NAME GEOID variable value
## <chr> <chr> <chr> <dbl>
## 1 Riverside County, California 06065 DOMESTICMIG 11830
## 2 Contra Costa County, California 06013 DOMESTICMIG 5423
## 3 Sacramento County, California 06067 DOMESTICMIG 4476
## 4 San Joaquin County, California 06077 DOMESTICMIG 4281
## 5 Alameda County, California 06001 DOMESTICMIG 2842
## 6 Placer County, California 06061 DOMESTICMIG 2655
## 7 Solano County, California 06095 DOMESTICMIG 1406
## 8 San Luis Obispo County, California 06079 DOMESTICMIG 1367
## 9 San Francisco County, California 06075 DOMESTICMIG 1356
## 10 El Dorado County, California 06017 DOMESTICMIG 1228
## # ... with 48 more rows
2018 California Domestic Migration _ Top counties
|
NAME
|
value
|
|
Riverside County, California
|
11830
|
|
Contra Costa County, California
|
5423
|
|
Sacramento County, California
|
4476
|
|
San Joaquin County, California
|
4281
|
|
Alameda County, California
|
2842
|
|
Placer County, California
|
2655
|
|
Solano County, California
|
1406
|
|
San Luis Obispo County, California
|
1367
|
|
San Francisco County, California
|
1356
|
|
El Dorado County, California
|
1228
|
2018 Domestic Migration _ Bottom counties
|
NAME
|
value
|
|
San Mateo County, California
|
-2256
|
|
Kern County, California
|
-2551
|
|
Ventura County, California
|
-2577
|
|
Tulare County, California
|
-2835
|
|
Monterey County, California
|
-2851
|
|
San Bernardino County, California
|
-4508
|
|
San Diego County, California
|
-8394
|
|
Orange County, California
|
-9594
|
|
Santa Clara County, California
|
-11283
|
|
Los Angeles County, California
|
-65220
|
BIRTHS Births in period in 2018
2018 Births _ Top counties
|
NAME
|
value
|
|
Los Angeles County, California
|
128601
|
|
San Diego County, California
|
44442
|
|
Orange County, California
|
38580
|
|
San Bernardino County, California
|
31244
|
|
Riverside County, California
|
30538
|
|
Santa Clara County, California
|
23703
|
|
Sacramento County, California
|
19785
|
|
Alameda County, California
|
19501
|
|
Fresno County, California
|
15665
|
|
Kern County, California
|
14092
|
|
Contra Costa County, California
|
12575
|
|
Ventura County, California
|
10317
|
|
San Joaquin County, California
|
9985
|
|
San Mateo County, California
|
9172
|
|
San Francisco County, California
|
9107
|
|
Stanislaus County, California
|
7676
|
|
Tulare County, California
|
7513
|
|
Monterey County, California
|
6455
|
|
Santa Barbara County, California
|
5814
|
|
Solano County, California
|
5282
|
DEATHS in period 2018
## # A tibble: 58 x 4
## NAME GEOID variable value
## <chr> <chr> <chr> <dbl>
## 1 Los Angeles County, California 06037 DEATHS 60436
## 2 San Diego County, California 06073 DEATHS 20620
## 3 Orange County, California 06059 DEATHS 18952
## 4 Riverside County, California 06065 DEATHS 15764
## 5 San Bernardino County, California 06071 DEATHS 13188
## 6 Sacramento County, California 06067 DEATHS 11245
## 7 Santa Clara County, California 06085 DEATHS 9948
## 8 Alameda County, California 06001 DEATHS 9719
## 9 Contra Costa County, California 06013 DEATHS 7630
## 10 Fresno County, California 06019 DEATHS 6484
## # ... with 48 more rows
2018 Births _ Top counties
|
NAME
|
value
|
|
Los Angeles County, California
|
60436
|
|
San Diego County, California
|
20620
|
|
Orange County, California
|
18952
|
|
Riverside County, California
|
15764
|
|
San Bernardino County, California
|
13188
|
|
Sacramento County, California
|
11245
|
|
Santa Clara County, California
|
9948
|
|
Alameda County, California
|
9719
|
|
Contra Costa County, California
|
7630
|
|
Fresno County, California
|
6484
|
|
Kern County, California
|
5826
|
|
San Joaquin County, California
|
5721
|
|
San Francisco County, California
|
5671
|
|
Ventura County, California
|
5569
|
|
San Mateo County, California
|
4816
|
|
Stanislaus County, California
|
4186
|
|
Sonoma County, California
|
4042
|
|
Solano County, California
|
3215
|
|
Placer County, California
|
3044
|
|
Santa Barbara County, California
|
2998
|
INTERNATIONALMIG Net international migration in period 2018
## # A tibble: 58 x 4
## NAME GEOID variable value
## <chr> <chr> <chr> <dbl>
## 1 Los Angeles County, California 06037 INTERNATIONALMIG 46041
## 2 Santa Clara County, California 06085 INTERNATIONALMIG 22163
## 3 San Diego County, California 06073 INTERNATIONALMIG 18099
## 4 Orange County, California 06059 INTERNATIONALMIG 13888
## 5 Alameda County, California 06001 INTERNATIONALMIG 13358
## 6 San Francisco County, California 06075 INTERNATIONALMIG 7868
## 7 Sacramento County, California 06067 INTERNATIONALMIG 5768
## 8 San Mateo County, California 06081 INTERNATIONALMIG 5754
## 9 Contra Costa County, California 06013 INTERNATIONALMIG 4960
## 10 Riverside County, California 06065 INTERNATIONALMIG 3540
## # ... with 48 more rows
2018 Births _ Top counties
|
NAME
|
value
|
|
Los Angeles County, California
|
46041
|
|
Santa Clara County, California
|
22163
|
|
San Diego County, California
|
18099
|
|
Orange County, California
|
13888
|
|
Alameda County, California
|
13358
|
|
San Francisco County, California
|
7868
|
|
Sacramento County, California
|
5768
|
|
San Mateo County, California
|
5754
|
|
Contra Costa County, California
|
4960
|
|
Riverside County, California
|
3540
|
|
San Bernardino County, California
|
3160
|
|
Fresno County, California
|
1996
|
|
Ventura County, California
|
1874
|
|
San Joaquin County, California
|
1659
|
|
Kern County, California
|
1599
|
|
Santa Barbara County, California
|
1562
|
|
Yolo County, California
|
1351
|
|
Solano County, California
|
1124
|
|
Monterey County, California
|
1083
|
|
Sonoma County, California
|
897
|
## # A tibble: 2 x 3
## name label concept
## <chr> <chr> <chr>
## 1 DP05_0050 Estimate!!RACE!!Total population!!One ra~ ACS DEMOGRAPHIC AND HOUSI~
## 2 DP05_005~ Percent!!RACE!!Total population!!One rac~ ACS DEMOGRAPHIC AND HOUSI~
## # A tibble: 310 x 3
## name label concept
## <chr> <chr> <chr>
## 1 DP02_00~ Estimate!!PLACE OF BIRTH!!Total popula~ SELECTED SOCIAL CHARACTERIS~
## 2 DP02_00~ Percent!!PLACE OF BIRTH!!Total populat~ SELECTED SOCIAL CHARACTERIS~
## 3 DP02_00~ Estimate!!PLACE OF BIRTH!!Total popula~ SELECTED SOCIAL CHARACTERIS~
## 4 DP02_00~ Percent!!PLACE OF BIRTH!!Total populat~ SELECTED SOCIAL CHARACTERIS~
## 5 DP02_00~ Estimate!!PLACE OF BIRTH!!Total popula~ SELECTED SOCIAL CHARACTERIS~
## 6 DP02_00~ Percent!!PLACE OF BIRTH!!Total populat~ SELECTED SOCIAL CHARACTERIS~
## 7 DP02_00~ Estimate!!PLACE OF BIRTH!!Total popula~ SELECTED SOCIAL CHARACTERIS~
## 8 DP02_00~ Percent!!PLACE OF BIRTH!!Total populat~ SELECTED SOCIAL CHARACTERIS~
## 9 DP02_00~ Estimate!!PLACE OF BIRTH!!Total popula~ SELECTED SOCIAL CHARACTERIS~
## 10 DP02_00~ Percent!!PLACE OF BIRTH!!Total populat~ SELECTED SOCIAL CHARACTERIS~
## # ... with 300 more rows
## # A tibble: 30 x 3
## name label concept
## <chr> <chr> <chr>
## 1 DP02_0119 "Estimate!!LANGUAGE SPOKEN AT HOME!!P~ SELECTED SOCIAL CHARACTERIS~
## 2 DP02_011~ "Percent!!LANGUAGE SPOKEN AT HOME!!Po~ SELECTED SOCIAL CHARACTERIS~
## 3 DP02_0120 "Estimate!!LANGUAGE SPOKEN AT HOME!!P~ SELECTED SOCIAL CHARACTERIS~
## 4 DP02_012~ "Percent!!LANGUAGE SPOKEN AT HOME!!Po~ SELECTED SOCIAL CHARACTERIS~
## 5 DP02PR_0~ "Estimate!!LANGUAGE SPOKEN AT HOME!!P~ SELECTED SOCIAL CHARACTERIS~
## 6 DP02PR_0~ "Percent!!LANGUAGE SPOKEN AT HOME!!Po~ SELECTED SOCIAL CHARACTERIS~
## 7 DP02PR_0~ "Estimate!!LANGUAGE SPOKEN AT HOME!!P~ SELECTED SOCIAL CHARACTERIS~
## 8 DP02PR_0~ "Percent!!LANGUAGE SPOKEN AT HOME!!Po~ SELECTED SOCIAL CHARACTERIS~
## 9 DP05_0044 "Estimate!!RACE!!Total population!!On~ ACS DEMOGRAPHIC AND HOUSING~
## 10 DP05_004~ "Percent!!RACE!!Total population!!One~ ACS DEMOGRAPHIC AND HOUSING~
## # ... with 20 more rows
DP05_0050 Estimate!!RACE!!Total population!!One race!!Asian!!Vietnamese
vietnamese population in 2019
## Getting data from the 2015-2019 5-year ACS
## Using the ACS Data Profile
Vietnamese/American population in California _ Top counties
|
NAME
|
estimate
|
|
Orange County, California
|
209485
|
|
Santa Clara County, California
|
134164
|
|
Los Angeles County, California
|
93446
|
|
San Diego County, California
|
51824
|
|
Alameda County, California
|
34425
|
|
Sacramento County, California
|
28323
|
|
Riverside County, California
|
18115
|
|
San Francisco County, California
|
15358
|
|
San Bernardino County, California
|
12184
|
|
Contra Costa County, California
|
10628
|
|
San Joaquin County, California
|
8151
|
|
San Mateo County, California
|
4415
|
|
Ventura County, California
|
4221
|
|
Fresno County, California
|
3930
|
|
Solano County, California
|
3689
|
|
Kern County, California
|
2487
|
|
Placer County, California
|
2073
|
|
Stanislaus County, California
|
2011
|
|
Yolo County, California
|
1979
|
|
Sonoma County, California
|
1915
|
vietnamese population in 2010 B02006_017E
## # A tibble: 0 x 2
## # ... with 2 variables: name <chr>, label <chr>
## Getting data from the 2006-2010 5-year ACS
Vietnamese/American population in California
|
NAME
|
estimate
|
|
Orange County, California
|
170256
|
|
Santa Clara County, California
|
119120
|
|
Los Angeles County, California
|
90431
|
|
San Diego County, California
|
43341
|
|
Alameda County, California
|
29464
|
|
Sacramento County, California
|
22183
|
|
Riverside County, California
|
16250
|
|
San Francisco County, California
|
13311
|
|
San Bernardino County, California
|
12963
|
|
San Joaquin County, California
|
7278
|
|
Contra Costa County, California
|
6903
|
|
Ventura County, California
|
4603
|
|
San Mateo County, California
|
4517
|
|
Fresno County, California
|
3406
|
|
Solano County, California
|
2939
|
|
Yolo County, California
|
2515
|
|
Sonoma County, California
|
2433
|
|
Santa Barbara County, California
|
1981
|
|
Monterey County, California
|
1645
|
|
Marin County, California
|
1558
|
Net population shift from 2010 to 2018
## Getting data from the 2015-2019 5-year ACS
## Using the ACS Data Profile
## Getting data from the 2006-2010 5-year ACS
Vietnamese/American population in California
|
NAME
|
estimate
|
y2010
|
change
|
|
Orange
|
209485
|
170256
|
39229
|
|
Santa Clara
|
134164
|
119120
|
15044
|
|
San Diego
|
51824
|
43341
|
8483
|
|
Sacramento
|
28323
|
22183
|
6140
|
|
Alameda
|
34425
|
29464
|
4961
|
|
Contra Costa
|
10628
|
6903
|
3725
|
|
Los Angeles
|
93446
|
90431
|
3015
|
|
San Francisco
|
15358
|
13311
|
2047
|
|
Riverside
|
18115
|
16250
|
1865
|
|
Kern
|
2487
|
1289
|
1198
|
|
Placer
|
2073
|
1166
|
907
|
|
San Joaquin
|
8151
|
7278
|
873
|
|
Solano
|
3689
|
2939
|
750
|
|
Stanislaus
|
2011
|
1486
|
525
|
|
Fresno
|
3930
|
3406
|
524
|
|
El Dorado
|
584
|
97
|
487
|
|
Shasta
|
531
|
352
|
179
|
|
Monterey
|
1808
|
1645
|
163
|
|
Santa Cruz
|
776
|
621
|
155
|
|
Kings
|
299
|
203
|
96
|
|
Yuba
|
275
|
200
|
75
|
|
Tehama
|
207
|
150
|
57
|
|
Del Norte
|
127
|
76
|
51
|
|
Sutter
|
323
|
275
|
48
|
|
Lake
|
45
|
0
|
45
|
|
Merced
|
618
|
583
|
35
|
|
Imperial
|
155
|
123
|
32
|
|
Calaveras
|
53
|
21
|
32
|
|
Madera
|
78
|
47
|
31
|
|
Mono
|
28
|
0
|
28
|
|
Napa
|
474
|
450
|
24
|
|
Inyo
|
16
|
0
|
16
|
|
Mariposa
|
10
|
0
|
10
|
|
Plumas
|
4
|
0
|
4
|
|
Sierra
|
0
|
0
|
0
|
|
Modoc
|
0
|
3
|
-3
|
|
Colusa
|
23
|
26
|
-3
|
|
San Luis Obispo
|
676
|
693
|
-17
|
|
Alpine
|
5
|
23
|
-18
|
|
Trinity
|
16
|
37
|
-21
|
|
Tuolumne
|
5
|
38
|
-33
|
|
San Benito
|
93
|
134
|
-41
|
|
Lassen
|
39
|
89
|
-50
|
|
Amador
|
12
|
63
|
-51
|
|
Glenn
|
0
|
72
|
-72
|
|
Siskiyou
|
0
|
88
|
-88
|
|
San Mateo
|
4415
|
4517
|
-102
|
|
Butte
|
443
|
552
|
-109
|
|
Humboldt
|
223
|
352
|
-129
|
|
Nevada
|
15
|
158
|
-143
|
|
Mendocino
|
58
|
232
|
-174
|
|
Santa Barbara
|
1766
|
1981
|
-215
|
|
Ventura
|
4221
|
4603
|
-382
|
|
Tulare
|
638
|
1037
|
-399
|
|
Marin
|
1098
|
1558
|
-460
|
|
Sonoma
|
1915
|
2433
|
-518
|
|
Yolo
|
1979
|
2515
|
-536
|
|
San Bernardino
|
12184
|
12963
|
-779
|
## Getting data from the 2014-2018 5-year ACS
## Getting data from the 2014-2018 5-year ACS
Viet/Am _ top 20 Congressional Districts
|
GEOID
|
NAME
|
estimate
|
|
0619
|
Congressional District 19 (116th Congress)
|
82140
|
|
0648
|
Congressional District 48 (116th Congress)
|
75743
|
|
0647
|
Congressional District 47 (116th Congress)
|
65187
|
|
0617
|
Congressional District 17 (116th Congress)
|
45130
|
|
0646
|
Congressional District 46 (116th Congress)
|
43619
|
|
0627
|
Congressional District 27 (116th Congress)
|
22068
|
|
0652
|
Congressional District 52 (116th Congress)
|
20490
|
|
0645
|
Congressional District 45 (116th Congress)
|
18677
|
|
0607
|
Congressional District 7 (116th Congress)
|
17564
|
|
0632
|
Congressional District 32 (116th Congress)
|
17265
|
|
0613
|
Congressional District 13 (116th Congress)
|
15731
|
|
0615
|
Congressional District 15 (116th Congress)
|
14297
|
|
0612
|
Congressional District 12 (116th Congress)
|
12720
|
|
0653
|
Congressional District 53 (116th Congress)
|
11451
|
|
0639
|
Congressional District 39 (116th Congress)
|
11271
|
|
0618
|
Congressional District 18 (116th Congress)
|
10678
|
|
0651
|
Congressional District 51 (116th Congress)
|
10541
|
|
0630
|
Congressional District 30 (116th Congress)
|
9389
|
|
0606
|
Congressional District 6 (116th Congress)
|
9277
|
|
0643
|
Congressional District 43 (116th Congress)
|
8744
|
## Getting data from the 2014-2018 5-year ACS
B02001_002 Estimate!!Total:!!White alone
B02001_003 Estimate!!Total:!!Black or African American alone
B02001_005 Estimate!!Total:!!Asian alone
B03001_003 Estimate!!Total:!!Hispanic or Latino
DP05_0050 Estimate!!RACE!!Total population!!One race!!Asian!!Vietnamese
## Getting data from the 2014-2018 5-year ACS
## Warning: `funs()` was deprecated in dplyr 0.8.0.
## Please use a list of either functions or lambdas:
##
## # Simple named list:
## list(mean = mean, median = median)
##
## # Auto named with `tibble::lst()`:
## tibble::lst(mean, median)
##
## # Using lambdas
## list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## [1] "GEOID" "NAME" "TotalE" "TotalM" "hispanicE"
## [6] "hispanicM" "whiteE" "whiteM" "blackE" "blackM"
## [11] "asianE" "asianM" "summary_est" "summary_moe" "viet"
California County Populations
|
NAME
|
TotalE
|
hispanicE
|
whiteE
|
blackE
|
asianE
|
viet
|
|
Los Angeles
|
10098052
|
4893603
|
5186859
|
823987
|
1469968
|
93446
|
|
San Diego
|
3302833
|
1106925
|
2335447
|
166412
|
390418
|
51824
|
|
Orange
|
3164182
|
1080195
|
1950902
|
54732
|
635672
|
209485
|
|
Riverside
|
2383286
|
1154517
|
1450134
|
153545
|
152130
|
18115
|
|
San Bernardino
|
2135413
|
1127813
|
1305047
|
178404
|
149837
|
12184
|
|
Santa Clara
|
1922200
|
495455
|
865460
|
48058
|
689176
|
134164
|
|
Alameda
|
1643700
|
369061
|
681725
|
177135
|
486434
|
34425
|
|
Sacramento
|
1510023
|
347025
|
875793
|
149064
|
235474
|
28323
|
|
Contra Costa
|
1133247
|
288101
|
648325
|
97333
|
185065
|
10628
|
|
Fresno
|
978130
|
515907
|
627437
|
47372
|
100017
|
3930
|
|
Kern
|
883053
|
465842
|
663592
|
48179
|
41842
|
2487
|
|
San Francisco
|
870044
|
132651
|
406538
|
45402
|
297667
|
15358
|
|
Ventura
|
848112
|
360017
|
680197
|
14835
|
61772
|
4221
|
|
San Mateo
|
765935
|
189002
|
391024
|
17849
|
215337
|
4415
|
|
San Joaquin
|
732212
|
301256
|
411958
|
52023
|
112997
|
8151
|
|
Stanislaus
|
539301
|
245973
|
408817
|
15534
|
29248
|
2011
|
|
Sonoma
|
501317
|
132985
|
375519
|
7960
|
20087
|
1915
|
|
Tulare
|
460477
|
295149
|
352259
|
7326
|
16462
|
638
|
|
Santa Barbara
|
443738
|
200060
|
344026
|
8626
|
23863
|
1766
|
|
Solano
|
438530
|
114406
|
231149
|
61826
|
67813
|
3689
|
|
Monterey
|
433212
|
252588
|
256709
|
11200
|
24342
|
1808
|
|
Placer
|
380077
|
52498
|
313636
|
6197
|
27535
|
2073
|
|
San Luis Obispo
|
281455
|
63002
|
242078
|
5265
|
10234
|
676
|
|
Santa Cruz
|
273765
|
91676
|
208476
|
2596
|
12601
|
776
|
|
Merced
|
269075
|
158494
|
154376
|
8772
|
20131
|
618
|
|
Marin
|
260295
|
41335
|
203342
|
5709
|
15000
|
1098
|
|
Butte
|
227075
|
36358
|
186095
|
3477
|
10151
|
443
|
|
Yolo
|
214977
|
67809
|
145778
|
5834
|
29612
|
1979
|
|
El Dorado
|
186661
|
23631
|
164202
|
1494
|
8291
|
584
|
|
Imperial
|
180216
|
151019
|
115817
|
4591
|
2684
|
155
|
|
Shasta
|
179085
|
17605
|
155840
|
2209
|
5427
|
531
|
|
Madera
|
155013
|
88806
|
111621
|
5026
|
3294
|
78
|
|
Kings
|
150075
|
81154
|
98429
|
9687
|
5946
|
299
|
|
Napa
|
140530
|
47687
|
102711
|
2867
|
11373
|
474
|
|
Humboldt
|
135768
|
15360
|
108784
|
1585
|
4160
|
223
|
|
Nevada
|
99092
|
9281
|
91579
|
655
|
1008
|
15
|
|
Sutter
|
95872
|
29354
|
66752
|
2006
|
14635
|
323
|
|
Mendocino
|
87422
|
21679
|
73121
|
531
|
1689
|
58
|
|
Yuba
|
75493
|
20990
|
56344
|
2432
|
5104
|
275
|
|
Lake
|
64148
|
12830
|
49463
|
1562
|
661
|
45
|
|
Tehama
|
63373
|
15623
|
54119
|
471
|
964
|
207
|
|
San Benito
|
59416
|
35248
|
48851
|
440
|
1739
|
93
|
|
Tuolumne
|
53932
|
6527
|
47189
|
926
|
749
|
5
|
|
Calaveras
|
45235
|
5297
|
41375
|
302
|
568
|
53
|
|
Siskiyou
|
43540
|
5336
|
36971
|
632
|
678
|
0
|
|
Amador
|
37829
|
5132
|
32989
|
790
|
499
|
12
|
|
Lassen
|
31185
|
5834
|
25672
|
2738
|
437
|
39
|
|
Glenn
|
27897
|
11504
|
23127
|
255
|
820
|
0
|
|
Del Norte
|
27424
|
5340
|
20958
|
785
|
977
|
127
|
|
Colusa
|
21464
|
12655
|
18854
|
362
|
324
|
23
|
|
Plumas
|
18699
|
1629
|
16654
|
194
|
200
|
4
|
|
Inyo
|
18085
|
3927
|
14557
|
161
|
290
|
16
|
|
Mariposa
|
17540
|
1909
|
15579
|
166
|
243
|
10
|
|
Mono
|
14174
|
3866
|
12017
|
105
|
339
|
28
|
|
Trinity
|
12862
|
930
|
11136
|
87
|
207
|
16
|
|
Modoc
|
8938
|
1292
|
8046
|
149
|
140
|
0
|
|
Sierra
|
2930
|
324
|
2890
|
6
|
0
|
0
|
|
Alpine
|
1146
|
105
|
723
|
9
|
8
|
5
|