Changes
On July 24, 2023 at 8:16:40 AM UTC, jktittalom:
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Updated description of resource FERTILITY-DP02_PIN_ZIP_20 in FERTILITY - DP02_PIN_ZIP from
SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES FERTILITY - DP02 Universe - Women 15 to 50 years old who had a birth in the past 12 months Survey-Program - American Community Survey 5-year estimates Year - 2020 The question asked if the person had given birth in the past 12 months, and was asked of all women 15 to 50 years old regardless of marital status. From this question, we are able to determine geographies with high numbers of women with births and the characteristics of these women, such as age and marital status. When fertility was not reported, it was imputed according to the woman’s age and marital status and the possibility there was an infant in the household.
toSELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES FERTILITY - DP02 Universe - Women 15 to 50 years old who had a birth in the past 12 months Survey-Program - American Community Survey 5-year estimates Year - 2020 The question asked if the person had given birth in the past 12 months, and was asked of all women 15 to 50 years old regardless of marital status. From this question, we are able to determine geographies with high numbers of women with births and the characteristics of these women, such as age and marital status. When fertility was not reported, it was imputed according to the woman’s age and marital status and the possibility there was an infant in the household.
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Changed value of field
terria_catalogue
of resource FERTILITY-DP02_PIN_ZIP_20 toYes
(previouslyyes
) in FERTILITY - DP02_PIN_ZIP -
Changed value of field
point_or_polygon
of resource FERTILITY-DP02_PIN_ZIP_20 toPolygon
(previouslypolygon
) in FERTILITY - DP02_PIN_ZIP -
Changed value of field
release_date
of resource FERTILITY-DP02_PIN_ZIP_20 to2020-01-10
(previously2020-01-01
) in FERTILITY - DP02_PIN_ZIP
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 | "ZCTA" | 14 | "ZCTA" | ||
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": "56c2e875-b459-48d7-bb3e-cf4b9e00af0e", | 26 | "id": "56c2e875-b459-48d7-bb3e-cf4b9e00af0e", | ||
27 | "isopen": true, | 27 | "isopen": true, | ||
28 | "issued": "2022-03-17", | 28 | "issued": "2022-03-17", | ||
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": "2022-12-04T23:55:28.538476", | 34 | "metadata_created": "2022-12-04T23:55:28.538476", | ||
n | 35 | "metadata_modified": "2023-07-23T18:35:41.111418", | n | 35 | "metadata_modified": "2023-07-24T08:16:40.263683", |
36 | "modified": "", | 36 | "modified": "", | ||
37 | "name": "fertility-dp02_pin_zip", | 37 | "name": "fertility-dp02_pin_zip", | ||
38 | "notes": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | 38 | "notes": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | ||
39 | STATES\n\nFERTILITY - DP02\n\nUniverse - Women 15 to 50 years old who | 39 | STATES\n\nFERTILITY - DP02\n\nUniverse - Women 15 to 50 years old who | ||
40 | had a birth in the past 12 months\n\nSurvey-Program - American | 40 | had a birth in the past 12 months\n\nSurvey-Program - American | ||
41 | Community Survey 5-year estimates\n\nYears - 2020, 2021\n\nThe | 41 | Community Survey 5-year estimates\n\nYears - 2020, 2021\n\nThe | ||
42 | question asked if the person had given birth in the past 12 months, | 42 | question asked if the person had given birth in the past 12 months, | ||
43 | and was asked of all women 15 to 50 years old regardless of marital | 43 | and was asked of all women 15 to 50 years old regardless of marital | ||
44 | status. From this question, we are able to determine geographies with | 44 | status. From this question, we are able to determine geographies with | ||
45 | high numbers of women with births and the characteristics of these | 45 | high numbers of women with births and the characteristics of these | ||
46 | women, such as age and marital status. When fertility was not | 46 | women, such as age and marital status. When fertility was not | ||
47 | reported, it was imputed according to the woman\u2019s age and marital | 47 | reported, it was imputed according to the woman\u2019s age and marital | ||
48 | status and the possibility there was an infant in the household.", | 48 | status and the possibility there was an infant in the household.", | ||
49 | "num_resources": 2, | 49 | "num_resources": 2, | ||
50 | "num_tags": 3, | 50 | "num_tags": 3, | ||
51 | "organization": { | 51 | "organization": { | ||
52 | "approval_status": "approved", | 52 | "approval_status": "approved", | ||
53 | "created": "2022-11-25T03:14:25.330654", | 53 | "created": "2022-11-25T03:14:25.330654", | ||
54 | "description": "The Census Bureau's mission is to serve as the | 54 | "description": "The Census Bureau's mission is to serve as the | ||
55 | nation\u2019s leading provider of quality data about its people and | 55 | nation\u2019s leading provider of quality data about its people and | ||
56 | economy.\r\n\r\nThe Census Bureau is the federal government\u2019s | 56 | economy.\r\n\r\nThe Census Bureau is the federal government\u2019s | ||
57 | largest statistical agency. They are dedicated to providing current | 57 | largest statistical agency. They are dedicated to providing current | ||
58 | facts and figures about America\u2019s people, places, and economy. | 58 | facts and figures about America\u2019s people, places, and economy. | ||
59 | Federal law protects the confidentiality of all the information the | 59 | Federal law protects the confidentiality of all the information the | ||
60 | Census Bureau collects.", | 60 | Census Bureau collects.", | ||
61 | "id": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | 61 | "id": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | ||
62 | "image_url": "2022-12-04-042041.416784CensusLogo.png", | 62 | "image_url": "2022-12-04-042041.416784CensusLogo.png", | ||
63 | "is_organization": true, | 63 | "is_organization": true, | ||
64 | "name": "census", | 64 | "name": "census", | ||
65 | "state": "active", | 65 | "state": "active", | ||
66 | "title": "US Census Bureau", | 66 | "title": "US Census Bureau", | ||
67 | "type": "organization" | 67 | "type": "organization" | ||
68 | }, | 68 | }, | ||
69 | "owner_org": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | 69 | "owner_org": "8acd8f1f-facb-4eb7-99ed-80b5166c148c", | ||
70 | "private": false, | 70 | "private": false, | ||
71 | "publisher_URL": "https://www.census.gov/", | 71 | "publisher_URL": "https://www.census.gov/", | ||
72 | "publisher_name": "US Census Bureau", | 72 | "publisher_name": "US Census Bureau", | ||
73 | "relationships_as_object": [], | 73 | "relationships_as_object": [], | ||
74 | "relationships_as_subject": [], | 74 | "relationships_as_subject": [], | ||
75 | "resources": [ | 75 | "resources": [ | ||
76 | { | 76 | { | ||
77 | "cache_last_updated": null, | 77 | "cache_last_updated": null, | ||
78 | "cache_url": null, | 78 | "cache_url": null, | ||
79 | "census_geo_year_code": "2020", | 79 | "census_geo_year_code": "2020", | ||
80 | "created": "2023-06-17T20:26:52.759365", | 80 | "created": "2023-06-17T20:26:52.759365", | ||
81 | "datastore_active": true, | 81 | "datastore_active": true, | ||
82 | "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | 82 | "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | ||
n | 83 | STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years | n | 83 | STATES\n\nFERTILITY - DP02\n\nUniverse - Women 15 to 50 years old who |
84 | old who had a birth in the past 12 months\r\n\r\nSurvey-Program - | 84 | had a birth in the past 12 months\n\nSurvey-Program - American | ||
85 | American Community Survey 5-year estimates\r\n\r\nYear - | 85 | Community Survey 5-year estimates\n\nYear - 2020\n\nThe question asked | ||
86 | 2020\r\n\r\nThe question asked if the person had given birth in the | 86 | if the person had given birth in the past 12 months, and was asked of | ||
87 | past 12 months, and was asked of all women 15 to 50 years old | 87 | all women 15 to 50 years old regardless of marital status. From this | ||
88 | regardless of marital status. From this question, we are able to | 88 | question, we are able to determine geographies with high numbers of | ||
89 | determine geographies with high numbers of women with births and the | 89 | women with births and the characteristics of these women, such as age | ||
90 | characteristics of these women, such as age and marital status. When | 90 | and marital status. When fertility was not reported, it was imputed | ||
91 | fertility was not reported, it was imputed according to the | 91 | according to the woman\u2019s age and marital status and the | ||
92 | woman\u2019s age and marital status and the possibility there was an | 92 | possibility there was an infant in the household.", | ||
93 | infant in the household.", | ||||
94 | "format": "CSV", | 93 | "format": "CSV", | ||
95 | "hash": "", | 94 | "hash": "", | ||
96 | "id": "217c6771-62cc-49d5-8ed2-a1f64015099a", | 95 | "id": "217c6771-62cc-49d5-8ed2-a1f64015099a", | ||
n | 97 | "last_modified": "2023-06-17T20:26:52.728067", | n | 96 | "last_modified": "2023-07-24T08:16:40.242109", |
98 | "metadata_modified": "2023-06-17T20:28:41.113710", | 97 | "metadata_modified": "2023-07-24T08:16:40.267158", | ||
99 | "mimetype": "text/csv", | 98 | "mimetype": "text/csv", | ||
100 | "mimetype_inner": null, | 99 | "mimetype_inner": null, | ||
101 | "name": "FERTILITY-DP02_PIN_ZIP_20", | 100 | "name": "FERTILITY-DP02_PIN_ZIP_20", | ||
102 | "package_id": "56c2e875-b459-48d7-bb3e-cf4b9e00af0e", | 101 | "package_id": "56c2e875-b459-48d7-bb3e-cf4b9e00af0e", | ||
n | 103 | "point_or_polygon": "polygon", | n | 102 | "point_or_polygon": "Polygon", |
104 | "position": 0, | 103 | "position": 0, | ||
n | 105 | "release_date": "2020-01-01", | n | 104 | "release_date": "2020-01-10", |
106 | "resource_type": null, | 105 | "resource_type": null, | ||
107 | "resource_year_code": "2020", | 106 | "resource_year_code": "2020", | ||
108 | "size": 2934, | 107 | "size": 2934, | ||
109 | "state": "active", | 108 | "state": "active", | ||
t | 110 | "terria_catalogue": "yes", | t | 109 | "terria_catalogue": "Yes", |
111 | "url": | 110 | "url": | ||
112 | 1-62cc-49d5-8ed2-a1f64015099a/download/fertility-dp02_pin_zip_20.csv", | 111 | 1-62cc-49d5-8ed2-a1f64015099a/download/fertility-dp02_pin_zip_20.csv", | ||
113 | "url_type": "upload" | 112 | "url_type": "upload" | ||
114 | }, | 113 | }, | ||
115 | { | 114 | { | ||
116 | "cache_last_updated": null, | 115 | "cache_last_updated": null, | ||
117 | "cache_url": null, | 116 | "cache_url": null, | ||
118 | "census_geo_year_code": "2020", | 117 | "census_geo_year_code": "2020", | ||
119 | "created": "2023-06-16T02:26:26.084338", | 118 | "created": "2023-06-16T02:26:26.084338", | ||
120 | "datastore_active": true, | 119 | "datastore_active": true, | ||
121 | "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | 120 | "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED | ||
122 | STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years | 121 | 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 - | 122 | 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\nYear - | 123 | American Community Survey 5-year estimates\r\n\r\nYear - | ||
125 | 2021\r\n\r\nThe question asked if the person had given birth in the | 124 | 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 | 125 | 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 | 126 | regardless of marital status. From this question, we are able to | ||
128 | determine geographies with high numbers of women with births and the | 127 | determine geographies with high numbers of women with births and the | ||
129 | characteristics of these women, such as age and marital status. When | 128 | characteristics of these women, such as age and marital status. When | ||
130 | fertility was not reported, it was imputed according to the | 129 | fertility was not reported, it was imputed according to the | ||
131 | woman\u2019s age and marital status and the possibility there was an | 130 | woman\u2019s age and marital status and the possibility there was an | ||
132 | infant in the household.", | 131 | infant in the household.", | ||
133 | "format": "CSV", | 132 | "format": "CSV", | ||
134 | "hash": "", | 133 | "hash": "", | ||
135 | "id": "e20ed94f-470e-49f1-a24c-81ba32691ffd", | 134 | "id": "e20ed94f-470e-49f1-a24c-81ba32691ffd", | ||
136 | "last_modified": "2023-06-16T21:49:11.850037", | 135 | "last_modified": "2023-06-16T21:49:11.850037", | ||
137 | "metadata_modified": "2023-06-17T20:26:03.088593", | 136 | "metadata_modified": "2023-06-17T20:26:03.088593", | ||
138 | "mimetype": "text/csv", | 137 | "mimetype": "text/csv", | ||
139 | "mimetype_inner": null, | 138 | "mimetype_inner": null, | ||
140 | "name": "FERTILITY-DP02_PIN_ZIP_21", | 139 | "name": "FERTILITY-DP02_PIN_ZIP_21", | ||
141 | "package_id": "56c2e875-b459-48d7-bb3e-cf4b9e00af0e", | 140 | "package_id": "56c2e875-b459-48d7-bb3e-cf4b9e00af0e", | ||
142 | "point_or_polygon": "polygon", | 141 | "point_or_polygon": "polygon", | ||
143 | "position": 1, | 142 | "position": 1, | ||
144 | "release_date": "2021-01-01", | 143 | "release_date": "2021-01-01", | ||
145 | "resource_type": null, | 144 | "resource_type": null, | ||
146 | "resource_year_code": "2021", | 145 | "resource_year_code": "2021", | ||
147 | "size": 3217, | 146 | "size": 3217, | ||
148 | "state": "active", | 147 | "state": "active", | ||
149 | "terria_catalogue": "yes", | 148 | "terria_catalogue": "yes", | ||
150 | "url": | 149 | "url": | ||
151 | f-470e-49f1-a24c-81ba32691ffd/download/fertility-dp02_pin_zip_21.csv", | 150 | f-470e-49f1-a24c-81ba32691ffd/download/fertility-dp02_pin_zip_21.csv", | ||
152 | "url_type": "upload" | 151 | "url_type": "upload" | ||
153 | } | 152 | } | ||
154 | ], | 153 | ], | ||
155 | "spatial": "{\n \"type\":\"Polygon\",\n | 154 | "spatial": "{\n \"type\":\"Polygon\",\n | ||
156 | 95],[-82.9089092463,28.1733490695],[-82.9089092463,27.6102732225]]]}", | 155 | 95],[-82.9089092463,28.1733490695],[-82.9089092463,27.6102732225]]]}", | ||
157 | "spatial_text": "Pinellas, FL", | 156 | "spatial_text": "Pinellas, FL", | ||
158 | "state": "active", | 157 | "state": "active", | ||
159 | "temporal_end": "", | 158 | "temporal_end": "", | ||
160 | "temporal_start": "2020-01-01", | 159 | "temporal_start": "2020-01-01", | ||
161 | "title": "FERTILITY - DP02_PIN_ZIP", | 160 | "title": "FERTILITY - DP02_PIN_ZIP", | ||
162 | "type": "dataset", | 161 | "type": "dataset", | ||
163 | "url": "US Census Bureau", | 162 | "url": "US Census Bureau", | ||
164 | "version": "" | 163 | "version": "" | ||
165 | } | 164 | } |