Social_Vulnerability_Entities
Entity (ENT)  Pacific Islands Fisheries Science Center (PIFSC)GUID: gov.noaa.nmfs.inport:59259  Updated: August 9, 2022  Published / External

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Summary
Data dictionary for the social vulnerability indices used in the "Coral Reef Resilience and Social Vulnerability to Climate Change" reports for the main Hawaiian Islands, Guam, the Commonwealth of the Northern Mariana Islands, and American Samoa.
Entity Information
Entity Type
Spreadsheet
Data Attribute / Type  Description 

Community
TEXT 
Layman's description of Community area. 
CCD
TEXT 
Census County Division name (long form). 
CCD_Name
TEXT 
Census County Division name (short form). 
GEO_ID2
NUMBER 
Census County Division fully qualified geographic identifier (American Community Census, geoid2). This is the field to join the data in this table with the GEOID field in the TIGER Line shapefiles for County Subdivisions, so the data can be plotted in a mapping application (e.g., ArcGIS). 
County
NUMBER 
County Code, (American Community Census). 
State
NUMBER 
State Code, (American Community Census). 
Island.Group
TEXT 
Regional twoletter code. HI=Hawaii, AS=American Samoa, GU=Guam, and MP=Commonwealth of the Northern Mariana Islands. 
Raw.Index.Val_Housing.Charcter.
NUMBER 
Unnormalized principal component analysis (PCA) axis metric of Housing Characteristics: The housing characteristics index highlights the character of housing available within a community and measures the median rent (lowers vulnerability), median number of rooms in family dwellings (lowers vulnerability), and the percentage of houses that lack plumbing facilities (increases vulnerability). 
Raw.Index.Val_Labor.Force
NUMBER 
Unnormalized principal component analysis (PCA) axis metric of Labor Force Structure: Labor force structure index provides an indication of the strength and stability of the labor force, including variables on the percent of females in the labor force (lowers vulnerability), the percent of those in the service industry (lowers vulnerability), as well as the percent of families with income under $10,000 (increases vulnerability). 
Raw.Index.Val_Personal.Disruption
NUMBER 
Unnormalized principal component analysis (PCA) axis metric of Personal Disruption: The personal disruption index includes variables that might indicate unstable personal circumstances, including poverty (increases vulnerability), unemployment (increases vulnerability), and low educational attainment (increases vulnerability). 
Raw.Index.Val_Population.Comp.
NUMBER 
Unnormalized principal component analysis (PCA) axis metric of Population Composition: The population composition index describes demographic variables identified as indicators of socially vulnerable populations, including the percent of young children (increases vulnerability), the percent of femaleheaded households (increases vulnerability), and the percent of people without a Bachelor's degree (increases vulnerability). 
Raw.Index.Val_Poverty
NUMBER 
Unnormalized principal component analysis (PCA) axis metric of Poverty: The poverty index highlights the percentage of the total population in poverty (increases vulnerability) as well as the percentage in poverty of other vulnerable groups such as children (under 18; increases vulnerability), families with children under 5 (increases vulnerability), and singlefemale headed families (increases vulnerability). 
Flag_RegionalReference_Housing.Charcter.
NUMBER 
Leveled Housing Characteristic Metric: Housing Characteristic principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Labor.Force
NUMBER 
Leveled Labor Force Structure Metric: Labor Force Structure principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Personal.Disruption
NUMBER 
Leveled Personal Disruption Metric: Personal Disruption principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Population.Comp.
NUMBER 
Leveled Population Composition Metric: Population Composition principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Poverty
NUMBER 
Leveled Poverty Metric: Poverty principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Overall_Aggregate
NUMBER 
Number of underlying leveled social vulnerability metrics rated as "High". Values range from 05. 
Child Items
No Child Items for this record.
Contact Information
No contact information is available for this record.
Please contact the owner organization (PIFSC) for inquiries on this record.
Item Identification
Title:  Social_Vulnerability_Entities 

Entity Information
Entity Type:  Spreadsheet 

Active Version?:  Yes 
Description: 
Data dictionary for the social vulnerability indices used in the "Coral Reef Resilience and Social Vulnerability to Climate Change" reports for the main Hawaiian Islands, Guam, the Commonwealth of the Northern Mariana Islands, and American Samoa. 
Data Attributes
Attribute Summary
Name  Type  Description  

100

Community  TEXT  Layman's description of Community area.  
100

CCD  TEXT  Census County Division name (long form).  
100

CCD_Name  TEXT  Census County Division name (short form).  
100

GEO_ID2  NUMBER  Census County Division fully qualified geographic identifier (American Community Census, geoid2). This is the field to join the data in this table with the GEOID field in the TIGER Line shapefiles for County Subdivisions, so the data can be plotted in a mapping application (e.g., ArcGIS).  
100

County  NUMBER  County Code, (American Community Census).  
100

State  NUMBER  State Code, (American Community Census).  
100

Island.Group  TEXT  Regional twoletter code. HI=Hawaii, AS=American Samoa, GU=Guam, and MP=Commonwealth of the Northern Mariana Islands.  
100

Raw.Index.Val_Housing.Charcter.  NUMBER  Unnormalized principal component analysis (PCA) axis metric of Housing Characteristics: The housing characteristics index highlights the character of housing available within a community and measures the median rent (lowers vulnerability), median number of rooms in family dwellings (lowers vulnerability), and the percentage of houses that lack plumbing facilities (increases vulnerability).  
100

Raw.Index.Val_Labor.Force  NUMBER  Unnormalized principal component analysis (PCA) axis metric of Labor Force Structure: Labor force structure index provides an indication of the strength and stability of the labor force, including variables on the percent of females in the labor force (lowers vulnerability), the percent of those in the service industry (lowers vulnerability), as well as the percent of families with income under $10,000 (increases vulnerability).  
100

Raw.Index.Val_Personal.Disruption  NUMBER  Unnormalized principal component analysis (PCA) axis metric of Personal Disruption: The personal disruption index includes variables that might indicate unstable personal circumstances, including poverty (increases vulnerability), unemployment (increases vulnerability), and low educational attainment (increases vulnerability).  
100

Raw.Index.Val_Population.Comp.  NUMBER  Unnormalized principal component analysis (PCA) axis metric of Population Composition: The population composition index describes demographic variables identified as indicators of socially vulnerable populations, including the percent of young children (increases vulnerability), the percent of femaleheaded households (increases vulnerability), and the percent of people without a Bachelor's degree (increases vulnerability).  
100

Raw.Index.Val_Poverty  NUMBER  Unnormalized principal component analysis (PCA) axis metric of Poverty: The poverty index highlights the percentage of the total population in poverty (increases vulnerability) as well as the percentage in poverty of other vulnerable groups such as children (under 18; increases vulnerability), families with children under 5 (increases vulnerability), and singlefemale headed families (increases vulnerability).  
100

Flag_RegionalReference_Housing.Charcter.  NUMBER  Leveled Housing Characteristic Metric: Housing Characteristic principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation).  
100

Flag_RegionalReference_Labor.Force  NUMBER  Leveled Labor Force Structure Metric: Labor Force Structure principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation).  
100

Flag_RegionalReference_Personal.Disruption  NUMBER  Leveled Personal Disruption Metric: Personal Disruption principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation).  
100

Flag_RegionalReference_Population.Comp.  NUMBER  Leveled Population Composition Metric: Population Composition principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation).  
100

Flag_RegionalReference_Poverty  NUMBER  Leveled Poverty Metric: Poverty principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation).  
100

Flag_RegionalReference_Overall_Aggregate  NUMBER  Number of underlying leveled social vulnerability metrics rated as "High". Values range from 05. 
Attribute Details
Community
Seq. Order:  1 

Data Storage Type:  TEXT 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Layman's description of Community area. 
CCD
Seq. Order:  2 

Data Storage Type:  TEXT 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Census County Division name (long form). 
CCD_Name
Seq. Order:  3 

Data Storage Type:  TEXT 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Census County Division name (short form). 
GEO_ID2
Seq. Order:  4 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Census County Division fully qualified geographic identifier (American Community Census, geoid2). This is the field to join the data in this table with the GEOID field in the TIGER Line shapefiles for County Subdivisions, so the data can be plotted in a mapping application (e.g., ArcGIS). 
County
Seq. Order:  5 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
County Code, (American Community Census). 
State
Seq. Order:  6 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
State Code, (American Community Census). 
Island.Group
Seq. Order:  7 

Data Storage Type:  TEXT 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Regional twoletter code. HI=Hawaii, AS=American Samoa, GU=Guam, and MP=Commonwealth of the Northern Mariana Islands. 
Raw.Index.Val_Housing.Charcter.
Seq. Order:  8 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Unnormalized principal component analysis (PCA) axis metric of Housing Characteristics: The housing characteristics index highlights the character of housing available within a community and measures the median rent (lowers vulnerability), median number of rooms in family dwellings (lowers vulnerability), and the percentage of houses that lack plumbing facilities (increases vulnerability). 
Raw.Index.Val_Labor.Force
Seq. Order:  9 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Unnormalized principal component analysis (PCA) axis metric of Labor Force Structure: Labor force structure index provides an indication of the strength and stability of the labor force, including variables on the percent of females in the labor force (lowers vulnerability), the percent of those in the service industry (lowers vulnerability), as well as the percent of families with income under $10,000 (increases vulnerability). 
Raw.Index.Val_Personal.Disruption
Seq. Order:  10 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Unnormalized principal component analysis (PCA) axis metric of Personal Disruption: The personal disruption index includes variables that might indicate unstable personal circumstances, including poverty (increases vulnerability), unemployment (increases vulnerability), and low educational attainment (increases vulnerability). 
Raw.Index.Val_Population.Comp.
Seq. Order:  11 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Unnormalized principal component analysis (PCA) axis metric of Population Composition: The population composition index describes demographic variables identified as indicators of socially vulnerable populations, including the percent of young children (increases vulnerability), the percent of femaleheaded households (increases vulnerability), and the percent of people without a Bachelor's degree (increases vulnerability). 
Raw.Index.Val_Poverty
Seq. Order:  12 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Unnormalized principal component analysis (PCA) axis metric of Poverty: The poverty index highlights the percentage of the total population in poverty (increases vulnerability) as well as the percentage in poverty of other vulnerable groups such as children (under 18; increases vulnerability), families with children under 5 (increases vulnerability), and singlefemale headed families (increases vulnerability). 
Flag_RegionalReference_Housing.Charcter.
Seq. Order:  13 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Leveled Housing Characteristic Metric: Housing Characteristic principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Labor.Force
Seq. Order:  14 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Leveled Labor Force Structure Metric: Labor Force Structure principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Personal.Disruption
Seq. Order:  15 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Leveled Personal Disruption Metric: Personal Disruption principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Population.Comp.
Seq. Order:  16 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Leveled Population Composition Metric: Population Composition principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Poverty
Seq. Order:  17 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Leveled Poverty Metric: Poverty principal component analysis (PCA) data broken into four levels dependent upon the distribution of values within a Census County Division's region: 1, "Low" (values greater than mean plus one standard deviation); 2, "MedLow" (values falling between the mean and the mean plus one standard deviation); 3, "MedHigh" (values falling between the mean minus one standard deviation and the mean); 4, "High" (values less than the mean minus one standard deviation). 
Flag_RegionalReference_Overall_Aggregate
Seq. Order:  18 

Data Storage Type:  NUMBER 
Required:  No 
Primary Key:  No 
Status:  Active 
Description: 
Number of underlying leveled social vulnerability metrics rated as "High". Values range from 05. 
Catalog Details
Catalog Item ID:  59259 

GUID:  gov.noaa.nmfs.inport:59259 
Metadata Record Created By:  Annette M DesRochers 
Metadata Record Created:  20200408 22:48+0000 
Metadata Record Last Modified By:  SysAdmin InPortAdmin 
Metadata Record Last Modified:  20220809 17:11+0000 
Metadata Record Published:  20200626 
Owner Org:  PIFSC 
Metadata Publication Status:  Published Externally 
Do Not Publish?:  N 
Metadata Last Review Date:  20200626 
Metadata Review Frequency:  1 Year 
Metadata Next Review Date:  20210626 