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  "author": "US Census Bureau",
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  "author": "US Census Bureau",
            
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eys/acs/tech_docs/subject_definitions/2020_ACSSubjectDefinitions.pdf",
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eys/acs/tech_docs/subject_definitions/2020_ACSSubjectDefinitions.pdf",
            
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  "modified": "",
            
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  "name": "fertility-dp02_pin_t",
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  "name": "fertility-dp02_pin_t",
            
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  "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 
            
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infant in the household.",
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infant in the household.",
            
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    "created": "2022-11-25T03:14:25.330654",
            
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    "description": "The Census Bureau's mission is to serve as the 
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    "description": "The Census Bureau's mission is to serve as the 
            
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nation\u2019s leading provider of quality data about its people and 
56
nation\u2019s leading provider of quality data about its people and 
            
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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 
            
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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 
            
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Census Bureau collects.",
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Census Bureau collects.",
            
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    "title": "US Census Bureau",
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    "title": "US Census Bureau",
            
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  "publisher_name": "US Census Bureau",
            
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STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years 
            
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old who had a birth in the past 12 months\r\n\r\nSurvey-Program - 
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old who had a birth in the past 12 months\r\n\r\nSurvey-Program - 
            
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American Community Survey 5-year estimates\r\n\r\nYears - 
86
American Community Survey 5-year estimates\r\n\r\nYears - 
            
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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 
            
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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 
            
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fertility was not reported, it was imputed according to the 
92
fertility was not reported, it was imputed according to the 
            
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woman\u2019s age and marital status and the possibility there was an 
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woman\u2019s age and marital status and the possibility there was an 
            
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infant in the household.",
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      "description": "SELECTED SOCIAL CHARACTERISTICS IN THE UNITED 
            
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STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years 
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STATES\r\n\r\nFERTILITY - DP02\r\n\r\nUniverse - Women 15 to 50 years 
            
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old who had a birth in the past 12 months\r\n\r\nSurvey-Program - 
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old who had a birth in the past 12 months\r\n\r\nSurvey-Program - 
            
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American Community Survey 5-year estimates\r\n\r\nYears - 
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American Community Survey 5-year estimates\r\n\r\nYears - 
            
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2021\r\n\r\nThe question asked if the person had given birth in the 
125
2021\r\n\r\nThe question asked if the person had given birth in the 
            
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past 12 months, and was asked of all women 15 to 50 years old 
126
past 12 months, and was asked of all women 15 to 50 years old 
            
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regardless of marital status. From this question, we are able to 
127
regardless of marital status. From this question, we are able to 
            
128
determine geographies with high numbers of women with births and the 
128
determine geographies with high numbers of women with births and the 
            
129
characteristics of these women, such as age and marital status. When 
129
characteristics of these women, such as age and marital status. When 
            
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fertility was not reported, it was imputed according to the 
130
fertility was not reported, it was imputed according to the 
            
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woman\u2019s age and marital status and the possibility there was an 
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woman\u2019s age and marital status and the possibility there was an 
            
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49.8625],[2.05827, 55.7447], [-6.41736, 55.7447], [-6.41736, 49.8625], 
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49.8625],[2.05827, 55.7447], [-6.41736, 55.7447], [-6.41736, 49.8625], 
            
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[2.05827, 49.8625]]] }",
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[2.05827, 49.8625]]] }",
            
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  "spatial_text": "Pinellas, FL",
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  "spatial_text": "Pinellas, FL",
            
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  "state": "active",
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  "state": "active",
            
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  "temporal_end": "",
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  "temporal_end": "",
            
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  "temporal_start": "2020-01-01",
161
  "temporal_start": "2020-01-01",
            
190
  "title": "FERTILITY - DP02_PIN_T",
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  "title": "FERTILITY - DP02_PIN_T",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "US Census Bureau",
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  "url": "US Census Bureau",
            
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  "version": ""
165
  "version": ""
            
194
}
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}