Changes
On June 15, 2023 at 10:21:10 PM UTC, Joe Baldwin:
-
Added resource FERTILITY-DP02_PIN_T_21 to FERTILITY - DP02_PIN_T
f | 1 | { | f | 1 | { |
2 | "author": "US Census Bureau", | 2 | "author": "US Census Bureau", | ||
3 | "author_email": "census.askdata@census.gov", | 3 | "author_email": "census.askdata@census.gov", | ||
4 | "creator_user_id": "3868d4c1-f12f-4125-a5bb-8f5b5af78be5", | 4 | "creator_user_id": "3868d4c1-f12f-4125-a5bb-8f5b5af78be5", | ||
5 | "data_dictionary_URL": | 5 | "data_dictionary_URL": | ||
6 | eys/acs/tech_docs/subject_definitions/2020_ACSSubjectDefinitions.pdf", | 6 | eys/acs/tech_docs/subject_definitions/2020_ACSSubjectDefinitions.pdf", | ||
7 | "frequency_code": [ | 7 | "frequency_code": [ | ||
8 | "Annually" | 8 | "Annually" | ||
9 | ], | 9 | ], | ||
10 | "geography_code": [ | 10 | "geography_code": [ | ||
11 | "Pinellas" | 11 | "Pinellas" | ||
12 | ], | 12 | ], | ||
13 | "granulatiry_code": [ | 13 | "granulatiry_code": [ | ||
14 | "Tracts" | 14 | "Tracts" | ||
15 | ], | 15 | ], | ||
16 | "groups": [ | 16 | "groups": [ | ||
17 | { | 17 | { | ||
18 | "description": "", | 18 | "description": "", | ||
19 | "display_name": "Children & Families", | 19 | "display_name": "Children & Families", | ||
20 | "id": "91606c1d-c56d-4f17-a5b6-6c007e15c721", | 20 | "id": "91606c1d-c56d-4f17-a5b6-6c007e15c721", | ||
21 | "image_display_url": "", | 21 | "image_display_url": "", | ||
22 | "name": "children-families", | 22 | "name": "children-families", | ||
23 | "title": "Children & Families" | 23 | "title": "Children & Families" | ||
24 | } | 24 | } | ||
25 | ], | 25 | ], | ||
26 | "id": "863b1dc1-7e0e-49bf-95aa-3c5d34ccbea0", | 26 | "id": "863b1dc1-7e0e-49bf-95aa-3c5d34ccbea0", | ||
27 | "isopen": true, | 27 | "isopen": true, | ||
28 | "issued": "3/17/22", | 28 | "issued": "3/17/22", | ||
29 | "license_id": "cc-by-sa", | 29 | "license_id": "cc-by-sa", | ||
30 | "license_title": "Creative Commons Attribution Share-Alike", | 30 | "license_title": "Creative Commons Attribution Share-Alike", | ||
31 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | 31 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | ||
32 | "maintainer": "admin", | 32 | "maintainer": "admin", | ||
33 | "maintainer_email": "admin@tad3.org", | 33 | "maintainer_email": "admin@tad3.org", | ||
34 | "metadata_created": "2022-12-09T23:53:25.543101", | 34 | "metadata_created": "2022-12-09T23:53:25.543101", | ||
n | 35 | "metadata_modified": "2023-06-15T22:20:04.409854", | n | 35 | "metadata_modified": "2023-06-15T22:21:10.432131", |
36 | "modified": "", | 36 | "modified": "", | ||
37 | "name": "fertility-dp02_pin_t", | 37 | "name": "fertility-dp02_pin_t", | ||
38 | "notes": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | 38 | "notes": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | ||
39 | STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years | 39 | STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years | ||
40 | old who had a birth in the past 12 months\r\n\r\nSurvey-Program - | 40 | old who had a birth in the past 12 months\r\n\r\nSurvey-Program - | ||
41 | American Community Survey 5-year estimates\r\n\r\nYears - | 41 | American Community Survey 5-year estimates\r\n\r\nYears - | ||
42 | 2020;2021\r\n\r\nThe question asked if the person had given birth in | 42 | 2020;2021\r\n\r\nThe question asked if the person had given birth in | ||
43 | the past 12 months, and was asked of all women 15 to 50 years old | 43 | the past 12 months, and was asked of all women 15 to 50 years old | ||
44 | regardless of marital status. From this question, we are able to | 44 | regardless of marital status. From this question, we are able to | ||
45 | determine geographies with high numbers of women with births and the | 45 | determine geographies with high numbers of women with births and the | ||
46 | characteristics of these women, such as age and marital status. When | 46 | characteristics of these women, such as age and marital status. When | ||
47 | fertility was not reported, it was imputed according to the | 47 | fertility was not reported, it was imputed according to the | ||
48 | woman\u2019s age and marital status and the possibility there was an | 48 | woman\u2019s age and marital status and the possibility there was an | ||
49 | infant in the household.", | 49 | infant in the household.", | ||
n | 50 | "num_resources": 1, | n | 50 | "num_resources": 2, |
51 | "num_tags": 3, | 51 | "num_tags": 3, | ||
52 | "organization": { | 52 | "organization": { | ||
53 | "approval_status": "approved", | 53 | "approval_status": "approved", | ||
54 | "created": "2022-11-25T03:14:25.330654", | 54 | "created": "2022-11-25T03:14:25.330654", | ||
55 | "description": "The Census Bureau's mission is to serve as the | 55 | "description": "The Census Bureau's mission is to serve as the | ||
56 | nation\u2019s leading provider of quality data about its people and | 56 | nation\u2019s leading provider of quality data about its people and | ||
57 | economy.\r\n\r\nThe Census Bureau is the federal government\u2019s | 57 | economy.\r\n\r\nThe Census Bureau is the federal government\u2019s | ||
58 | largest statistical agency. They are dedicated to providing current | 58 | largest statistical agency. They are dedicated to providing current | ||
59 | facts and figures about America\u2019s people, places, and economy. | 59 | facts and figures about America\u2019s people, places, and economy. | ||
60 | Federal law protects the confidentiality of all the information the | 60 | Federal law protects the confidentiality of all the information the | ||
61 | Census Bureau collects.", | 61 | Census Bureau collects.", | ||
62 | "id": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | 62 | "id": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | ||
63 | "image_url": "2022-12-04-042041.416784CensusLogo.png", | 63 | "image_url": "2022-12-04-042041.416784CensusLogo.png", | ||
64 | "is_organization": true, | 64 | "is_organization": true, | ||
65 | "name": "census", | 65 | "name": "census", | ||
66 | "state": "active", | 66 | "state": "active", | ||
67 | "title": "US Census Bureau", | 67 | "title": "US Census Bureau", | ||
68 | "type": "organization" | 68 | "type": "organization" | ||
69 | }, | 69 | }, | ||
70 | "owner_org": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | 70 | "owner_org": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | ||
71 | "private": false, | 71 | "private": false, | ||
72 | "publisher_URL": "https://www.census.gov/", | 72 | "publisher_URL": "https://www.census.gov/", | ||
73 | "publisher_name": "US Census Bureau", | 73 | "publisher_name": "US Census Bureau", | ||
74 | "relationships_as_object": [], | 74 | "relationships_as_object": [], | ||
75 | "relationships_as_subject": [], | 75 | "relationships_as_subject": [], | ||
76 | "resources": [ | 76 | "resources": [ | ||
77 | { | 77 | { | ||
78 | "cache_last_updated": null, | 78 | "cache_last_updated": null, | ||
79 | "cache_url": null, | 79 | "cache_url": null, | ||
80 | "census_geo_year_code": "2020", | 80 | "census_geo_year_code": "2020", | ||
81 | "created": "2022-12-09T23:53:55.012884", | 81 | "created": "2022-12-09T23:53:55.012884", | ||
82 | "datastore_active": true, | 82 | "datastore_active": true, | ||
83 | "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | 83 | "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | ||
84 | STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years | 84 | STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years | ||
85 | old who had a birth in the past 12 months\r\n\r\nSurvey-Program - | 85 | old who had a birth in the past 12 months\r\n\r\nSurvey-Program - | ||
86 | American Community Survey 5-year estimates\r\n\r\nYears - | 86 | American Community Survey 5-year estimates\r\n\r\nYears - | ||
87 | 2020\r\n\r\nThe question asked if the person had given birth in the | 87 | 2020\r\n\r\nThe question asked if the person had given birth in the | ||
88 | past 12 months, and was asked of all women 15 to 50 years old | 88 | past 12 months, and was asked of all women 15 to 50 years old | ||
89 | regardless of marital status. From this question, we are able to | 89 | regardless of marital status. From this question, we are able to | ||
90 | determine geographies with high numbers of women with births and the | 90 | determine geographies with high numbers of women with births and the | ||
91 | characteristics of these women, such as age and marital status. When | 91 | characteristics of these women, such as age and marital status. When | ||
92 | fertility was not reported, it was imputed according to the | 92 | fertility was not reported, it was imputed according to the | ||
93 | woman\u2019s age and marital status and the possibility there was an | 93 | woman\u2019s age and marital status and the possibility there was an | ||
94 | infant in the household.", | 94 | infant in the household.", | ||
95 | "format": "CSV", | 95 | "format": "CSV", | ||
96 | "hash": "", | 96 | "hash": "", | ||
97 | "id": "a6e15d62-8e7f-47a9-b318-9db177b2e8a1", | 97 | "id": "a6e15d62-8e7f-47a9-b318-9db177b2e8a1", | ||
98 | "last_modified": "2023-01-05T01:46:09.064272", | 98 | "last_modified": "2023-01-05T01:46:09.064272", | ||
99 | "metadata_modified": "2023-01-05T01:46:09.083085", | 99 | "metadata_modified": "2023-01-05T01:46:09.083085", | ||
100 | "mimetype": "text/csv", | 100 | "mimetype": "text/csv", | ||
101 | "mimetype_inner": null, | 101 | "mimetype_inner": null, | ||
102 | "name": "FERTILITY-DP02_PIN_T_20.", | 102 | "name": "FERTILITY-DP02_PIN_T_20.", | ||
103 | "package_id": "863b1dc1-7e0e-49bf-95aa-3c5d34ccbea0", | 103 | "package_id": "863b1dc1-7e0e-49bf-95aa-3c5d34ccbea0", | ||
104 | "point_or_polygon": "polygon", | 104 | "point_or_polygon": "polygon", | ||
105 | "position": 0, | 105 | "position": 0, | ||
106 | "resource_type": null, | 106 | "resource_type": null, | ||
107 | "resource_year_code": "2020", | 107 | "resource_year_code": "2020", | ||
108 | "size": 18119, | 108 | "size": 18119, | ||
109 | "state": "active", | 109 | "state": "active", | ||
110 | "terria_catalogue": "yes", | 110 | "terria_catalogue": "yes", | ||
111 | "url": | 111 | "url": | ||
112 | d62-8e7f-47a9-b318-9db177b2e8a1/download/fertility-dp02_pin_t_20.csv", | 112 | d62-8e7f-47a9-b318-9db177b2e8a1/download/fertility-dp02_pin_t_20.csv", | ||
113 | "url_type": "upload" | 113 | "url_type": "upload" | ||
t | t | 114 | }, | ||
115 | { | ||||
116 | "cache_last_updated": null, | ||||
117 | "cache_url": null, | ||||
118 | "census_geo_year_code": "2020", | ||||
119 | "created": "2023-06-15T22:21:10.445475", | ||||
120 | "datastore_active": false, | ||||
121 | "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | ||||
122 | STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years | ||||
123 | old who had a birth in the past 12 months\r\n\r\nSurvey-Program - | ||||
124 | American Community Survey 5-year estimates\r\n\r\nYears - | ||||
125 | 2021\r\n\r\nThe question asked if the person had given birth in the | ||||
126 | past 12 months, and was asked of all women 15 to 50 years old | ||||
127 | regardless of marital status. From this question, we are able to | ||||
128 | determine geographies with high numbers of women with births and the | ||||
129 | characteristics of these women, such as age and marital status. When | ||||
130 | fertility was not reported, it was imputed according to the | ||||
131 | woman\u2019s age and marital status and the possibility there was an | ||||
132 | infant in the household.", | ||||
133 | "format": "CSV", | ||||
134 | "hash": "", | ||||
135 | "id": "e3a9a362-2599-4f06-b456-51b8ae5e1883", | ||||
136 | "last_modified": "2023-06-15T22:21:10.415127", | ||||
137 | "metadata_modified": "2023-06-15T22:21:10.436184", | ||||
138 | "mimetype": "text/csv", | ||||
139 | "mimetype_inner": null, | ||||
140 | "name": "FERTILITY-DP02_PIN_T_21", | ||||
141 | "package_id": "863b1dc1-7e0e-49bf-95aa-3c5d34ccbea0", | ||||
142 | "point_or_polygon": "polygon", | ||||
143 | "position": 1, | ||||
144 | "release_date": "2021-01-01", | ||||
145 | "resource_type": null, | ||||
146 | "resource_year_code": "2021", | ||||
147 | "size": 18084, | ||||
148 | "state": "active", | ||||
149 | "terria_catalogue": "yes", | ||||
150 | "url": | ||||
151 | 362-2599-4f06-b456-51b8ae5e1883/download/fertility-dp02_pin_t_21.csv", | ||||
152 | "url_type": "upload" | ||||
114 | } | 153 | } | ||
115 | ], | 154 | ], | ||
116 | "spatial": "{ \"type\":\"Polygon\", \"coordinates\":[[[2.05827, | 155 | "spatial": "{ \"type\":\"Polygon\", \"coordinates\":[[[2.05827, | ||
117 | 49.8625],[2.05827, 55.7447], [-6.41736, 55.7447], [-6.41736, 49.8625], | 156 | 49.8625],[2.05827, 55.7447], [-6.41736, 55.7447], [-6.41736, 49.8625], | ||
118 | [2.05827, 49.8625]]] }", | 157 | [2.05827, 49.8625]]] }", | ||
119 | "spatial_text": "Pinellas, FL", | 158 | "spatial_text": "Pinellas, FL", | ||
120 | "state": "active", | 159 | "state": "active", | ||
121 | "temporal_end": "", | 160 | "temporal_end": "", | ||
122 | "temporal_start": "2020-01-01", | 161 | "temporal_start": "2020-01-01", | ||
123 | "title": "FERTILITY - DP02_PIN_T", | 162 | "title": "FERTILITY - DP02_PIN_T", | ||
124 | "type": "dataset", | 163 | "type": "dataset", | ||
125 | "url": "US Census Bureau", | 164 | "url": "US Census Bureau", | ||
126 | "version": "" | 165 | "version": "" | ||
127 | } | 166 | } |