Data license: CC0 · Data source: metmuseum/openaccess
This data as json, CSV (advanced)
Link | rowid | value ▼ |
---|---|---|
27 | 27 | Alamance |
95 | 95 | Alamance County |
91 | 91 | Albany County |
68 | 68 | Bergen County |
66 | 66 | Bergen|Rockland |
9 | 9 | Berks County |
42 | 42 | Bouches-du-Rhône |
63 | 63 | Breckinridge County|Hardin County |
2 | 2 | Bristol |
17 | 17 | Brooklyn |
102 | 102 | Buck's County |
25 | 25 | Bucks County |
39 | 39 | Burlington County |
79 | 79 | Chariton |
90 | 90 | Chester |
5 | 5 | Chester County |
98 | 98 | Chester county |
14 | 14 | Connecticut River Valley |
100 | 100 | Corona |
101 | 101 | Cotswolds |
59 | 59 | Cumberland County |
7 | 7 | Dauphin County |
83 | 83 | Delaware |
53 | 53 | Derbyshire |
37 | 37 | Durham |
54 | 54 | Dutchess County |
82 | 82 | East North Central |
35 | 35 | Eastern Long Island |
103 | 103 | Edgefield County |
52 | 52 | Essex County |
20 | 20 | Essex County|Middlesex County |
72 | 72 | Fairfield County |
26 | 26 | Frederick County |
51 | 51 | Gloucester County |
88 | 88 | Grafton County |
62 | 62 | Greater Manchester |
80 | 80 | Greene County |
93 | 93 | Greenpoint |
76 | 76 | Hancock Village |
36 | 36 | Haute-Vienne |
41 | 41 | Hauts-de-Seine |
31 | 31 | Herefordshire |
43 | 43 | Hudson Valley |
85 | 85 | Jefferson County |
56 | 56 | Johnson County |
94 | 94 | Kent |
45 | 45 | King George County |
61 | 61 | Lancashire |
10 | 10 | Lancaster County |
8 | 8 | Lebanon County |
38 | 38 | Lehigh County |
71 | 71 | Logan County |
4 | 4 | Long Island |
67 | 67 | Marion County |
55 | 55 | McHenry |
11 | 11 | Merseyside |
74 | 74 | Middlesex County |
28 | 28 | Montgomery County |
3 | 3 | Montour County |
77 | 77 | Morris County |
89 | 89 | Moultrie County |
86 | 86 | New England |
29 | 29 | New England|New England |
60 | 60 | New London County |
44 | 44 | North Yorkshire |
48 | 48 | Northampton County |
15 | 15 | Northern Essex County |
6 | 6 | Northhampton County |
57 | 57 | Orange County |
18 | 18 | Plymouth County |
33 | 33 | Plymouth|Barnstable |
92 | 92 | Putnam County |
32 | 32 | Queens |
69 | 69 | Rhône |
34 | 34 | Rockingham County |
64 | 64 | Rutherford County |
78 | 78 | Saratoga County |
19 | 19 | Schuylkill County |
58 | 58 | Sheboygan County |
23 | 23 | Shropshire |
16 | 16 | South Yorkshire |
1 | 1 | Staffordshire |
49 | 49 | Staffordshire|Staffordshire |
30 | 30 | Suffolk County |
75 | 75 | Sullivan County |
81 | 81 | Summit County |
70 | 70 | Surrey |
47 | 47 | Tyne and Wear |
65 | 65 | Ulster County |
46 | 46 | Ulster County|Ulster County |
40 | 40 | Warren Township |
13 | 13 | West Midlands |
24 | 24 | West Yorkshire |
84 | 84 | Westchester County |
99 | 99 | Western Pennsylvania |
21 | 21 | Wethersfield |
22 | 22 | Wethersfield area |
87 | 87 | Worcester County|Hampden County |
12 | 12 | Worcestershire |
73 | 73 | Wyoming County |
JSON shape: default, array, newline-delimited
CREATE VIRTUAL TABLE "State_value_fts" USING FTS4 (value, content="State");