<?xml version="1.0" encoding="ISO-8859-1"?>

<INDICATOR_VIEW name="AgeDistPop.Asian">
	<NAME>AgeDistPop.Asian</NAME>
	<INDICATOR_NAME>AgeDistPop</INDICATOR_NAME>
	<CHART_NAME>GroupedBar</CHART_NAME>
	<MAP_NAME>DEFAULT_2015</MAP_NAME>
	<TITLE>Age Distribution of the Population,</TITLE>
	<SUB_TITLE>Asian Utahns,</SUB_TITLE>
	<Y_TITLE>Percentage Distribution of Asian Utah Population</Y_TITLE>
	<PERIOD_TITLE>2022</PERIOD_TITLE>
	<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
	<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
	<VALUE_TYPE_NAME>PercentSign</VALUE_TYPE_NAME>
	<TARGET_VALUE>0</TARGET_VALUE>
	<DATA_NOTE>Persons in race categories are only those who selected a single race.

As population estimates by race and ethnicity are released each year by the U.S. Census Bureau, estimates released in previous years may be updated. For more information on the Census Bureau methodology, please see [https://www2.census.gov/programs-surveys/popest/technical-documentation/file-layouts/2020-2022/cc-est2022-alldata.pdf].

Numerator: Number of people in age group in the race group. [[br]]
Denominator: Total Asian Utah population.</DATA_NOTE>
	<NOTE>2023-IBIS version 2022race/ethnicity. Run in SAS G:\TZHENG\IBIS indicator\MyIndicatorUpdate/race.sas
Numerator: Number of people in age group in the race group. 
Denominator: Race population in each race category
output to excel to G:\TZHENG\IBIS indicator\MyIndicatorUpdate\2022</NOTE>
	<SORT_ORDER>5</SORT_ORDER>
	<ACTIVE_FLAG>x</ACTIVE_FLAG>
	<MODIFIED_DESCRIPTION>indicator Graph List Detail modified by: tzheng@utah.gov</MODIFIED_DESCRIPTION>
	<MODIFIED_DATE>12/08/2023</MODIFIED_DATE>
	<DATA_SOURCES>
		<DATA_SOURCE name="USCB_Race2022">
			<NAME>USCB_Race2022</NAME>
			<TEXT>Population Estimates by Age, Sex, Race, and Hispanic Origin for Counties in Utah, U.S. Bureau of the Census, IBIS Version 2022</TEXT>
			<SORT_ORDER></SORT_ORDER>
		</DATA_SOURCE>
	</DATA_SOURCES>
	<DATASET_SERIES name="None">
		<NAME>None</NAME>
		<TITLE>ONE data series only</TITLE>
		<SORT_ORDER>2</SORT_ORDER>
		<ACTIVE_FLAG>x</ACTIVE_FLAG>
		<MODIFIED_DATE>09/24/2014</MODIFIED_DATE>
		<DATASET_SERIES_VALUES>
			<DATASET_SERIES_VALUE dataset_series_name="None" value="None">
				<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
				<VALUE>None</VALUE>
				<DESCRIPTION>ONE data series only</DESCRIPTION>
				<SORT_ORDER>0</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_SERIES_VALUE>
		</DATASET_SERIES_VALUES>
	</DATASET_SERIES>
	<DATASET_CATEGORY name="AgeGrp10">
		<NAME>AgeGrp10</NAME>
		<TITLE>Age group: 0-4, 5-14, 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75-84, 85+</TITLE>
		<LABEL>Age Group</LABEL>
		<SORT_ORDER>1</SORT_ORDER>
		<ACTIVE_FLAG>x</ACTIVE_FLAG>
		<MODIFIED_DATE>12/26/2023</MODIFIED_DATE>
		<DATASET_CATEGORY_VALUES>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="1">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>1</VALUE>
				<TITLE>0-4</TITLE>
				<DESCRIPTION>0-4</DESCRIPTION>
				<SORT_ORDER>1</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="2">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>2</VALUE>
				<TITLE>5-14</TITLE>
				<DESCRIPTION>5-14</DESCRIPTION>
				<SORT_ORDER>2</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="3">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>3</VALUE>
				<TITLE>15-24</TITLE>
				<DESCRIPTION>15-24</DESCRIPTION>
				<SORT_ORDER>3</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="4">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>4</VALUE>
				<TITLE>25-34</TITLE>
				<DESCRIPTION>25-34</DESCRIPTION>
				<SORT_ORDER>4</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="5">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>5</VALUE>
				<TITLE>35-44</TITLE>
				<DESCRIPTION>35-44</DESCRIPTION>
				<SORT_ORDER>5</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="6">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>6</VALUE>
				<TITLE>45-54</TITLE>
				<DESCRIPTION>45-54</DESCRIPTION>
				<SORT_ORDER>6</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="7">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>7</VALUE>
				<TITLE>55-64</TITLE>
				<DESCRIPTION>55-64</DESCRIPTION>
				<SORT_ORDER>7</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="8">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>8</VALUE>
				<TITLE>65-74</TITLE>
				<DESCRIPTION>65-74</DESCRIPTION>
				<SORT_ORDER>8</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="9">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>9</VALUE>
				<TITLE>75-84</TITLE>
				<DESCRIPTION>75-84</DESCRIPTION>
				<SORT_ORDER>9</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
			<DATASET_CATEGORY_VALUE dataset_category_name="AgeGrp10" value="10">
				<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
				<VALUE>10</VALUE>
				<TITLE>85+</TITLE>
				<DESCRIPTION>85+</DESCRIPTION>
				<SORT_ORDER>10</SORT_ORDER>
				<ACTIVE_FLAG>x</ACTIVE_FLAG>
			</DATASET_CATEGORY_VALUE>
		</DATASET_CATEGORY_VALUES>
	</DATASET_CATEGORY>
	<VALUE_TYPE name="PercentSign">
		<NAME>PercentSign</NAME>
		<TITLE>Percent Sign</TITLE>
		<DESCRIPTION>Single decimal, number already between 1-100 (not 0 and 1).</DESCRIPTION>
		<XSLT_FORMAT_PATTERN>,##0.0'%'</XSLT_FORMAT_PATTERN>
		<JAVA_FORMAT_PATTERN>,##0.0'%'</JAVA_FORMAT_PATTERN>
		<SORT_ORDER>2</SORT_ORDER>
	</VALUE_TYPE>
	<CHART name="GroupedBar">
		<NAME>GroupedBar</NAME>
		<TITLE>Grouped bar</TITLE>
		<SORT_ORDER>1</SORT_ORDER>
		<ACTIVE_FLAG>x</ACTIVE_FLAG>
		<MODIFIED_DATE>10/03/2022</MODIFIED_DATE>
	</CHART>
	<INDICATOR_VIEW_VALUES>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="1">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>1</DATASET_CATEGORY_VALUE>
			<VALUE>7.8</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="10">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>10</DATASET_CATEGORY_VALUE>
			<VALUE>0.9</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="11">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>11</DATASET_CATEGORY_VALUE>
			<VALUE>.01</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="2">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>2</DATASET_CATEGORY_VALUE>
			<VALUE>11.1</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="3">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>3</DATASET_CATEGORY_VALUE>
			<VALUE>15.5</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="4">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>4</DATASET_CATEGORY_VALUE>
			<VALUE>19.2</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="5">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>5</DATASET_CATEGORY_VALUE>
			<VALUE>16.1</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="6">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>6</DATASET_CATEGORY_VALUE>
			<VALUE>11.9</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="7">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>7</DATASET_CATEGORY_VALUE>
			<VALUE>9.0</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="8">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>8</DATASET_CATEGORY_VALUE>
			<VALUE>5.9</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
		<INDICATOR_VIEW_VALUE indicator_view_name="AgeDistPop.Asian" dataset_series_name="None" dataset_category_name="AgeGrp10" dataset_series_value="None" dataset_category_value="9">
			<INDICATOR_VIEW_NAME>AgeDistPop.Asian</INDICATOR_VIEW_NAME>
			<DATASET_SERIES_NAME>None</DATASET_SERIES_NAME>
			<DATASET_CATEGORY_NAME>AgeGrp10</DATASET_CATEGORY_NAME>
			<DATASET_SERIES_VALUE>None</DATASET_SERIES_VALUE>
			<DATASET_CATEGORY_VALUE>9</DATASET_CATEGORY_VALUE>
			<VALUE>2.5</VALUE>
			<ACTIVE_FLAG>x</ACTIVE_FLAG>
		</INDICATOR_VIEW_VALUE>
	</INDICATOR_VIEW_VALUES>
</INDICATOR_VIEW>
