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Census Block Group 780300-1 in Pocahontas County, Iowa



Population614 (2010), see rank
House Units303, see rank
RaceWhites:98.7%, Hispanics:2.9%, Blacks:0.3%, Asians:0.2%, Others:0.8%
Population Density:4.32/sq mi, see rank
Median Household Income:$51,957, see rank
Median House Price:$105,400, see rank
Time Zone:Central GMT -6:00 with Daylight Saving in the Summer
Land Area:141.59 sq mi, see rank
Water Area:0.62 sq mi (0.44%), see rank
State:Iowa
County:Pocahontas County
Census Tract:780300
School District:Albert City-Truesdale Community School District
Newell-Fonda Community School District
Pocahontas Area Community School District
Pomeroy-Palmer Community School District
see rank
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Block Group 780300-1 Map, Border, and Nearby Locations

Block Group 780300-1 Blocks

IA1517803001000 PocahontasIA1517803001001 PocahontasIA1517803001002 PocahontasIA1517803001003 PocahontasIA1517803001004 PocahontasIA1517803001005 PocahontasIA1517803001006 PocahontasIA1517803001007 PocahontasIA1517803001008 PocahontasIA1517803001009 PocahontasIA1517803001010 PocahontasIA1517803001011 Albert CityIA1517803001012 Albert CityIA1517803001013 Albert CityIA1517803001014 Albert CityIA1517803001015 Albert CityIA1517803001016 Albert CityIA1517803001018 Albert CityIA1517803001019 Albert CityIA1517803001021 Albert CityIA1517803001022 Albert CityIA1517803001023 Albert CityIA1517803001024 Albert CityIA1517803001025 Albert CityIA1517803001026 Albert CityIA1517803001029 Albert CityIA1517803001030 Albert CityIA1517803001031 Albert CityIA1517803001033 Albert CityIA1517803001034 Albert CityIA1517803001035 PocahontasIA1517803001036 PocahontasIA1517803001037 PocahontasIA1517803001038 PocahontasIA1517803001039 PocahontasIA1517803001040 FondaIA1517803001041 FondaIA1517803001042 FondaIA1517803001043 Albert CityIA1517803001044 Albert CityIA1517803001045 FondaIA1517803001046 PocahontasIA1517803001047 PocahontasIA1517803001048 PocahontasIA1517803001049 PocahontasIA1517803001050 PocahontasIA1517803001051 PocahontasIA1517803001052 PocahontasIA1517803001053 PocahontasIA1517803001054 PocahontasIA1517803001055 PocahontasIA1517803001056 FondaIA1517803001057 FondaIA1517803001058 FondaIA1517803001059 FondaIA1517803001060 FondaIA1517803001061 FondaIA1517803001062 FondaIA1517803001063 FondaIA1517803001064 Albert CityIA1517803001065 Albert CityIA1517803001066 Albert CityIA1517803001067 Albert CityIA1517803001068 FondaIA1517803001069 FondaIA1517803001070 FondaIA1517803001071 VarinaIA1517803001072 FondaIA1517803001073 VarinaIA1517803001074 VarinaIA1517803001075 VarinaIA1517803001076 VarinaIA1517803001077 VarinaIA1517803001078 VarinaIA1517803001079 VarinaIA1517803001080 VarinaIA1517803001081 FondaIA1517803001082 FondaIA1517803001083 FondaIA1517803001084 FondaIA1517803001085 FondaIA1517803001086 FondaIA1517803001087 FondaIA1517803001088 FondaIA1517803001089 FondaIA1517803001090 FondaIA1517803001091 FondaIA1517803001092 FondaIA1517803001093 FondaIA1517803001094 FondaIA1517803001095 FondaIA1517803001096 PocahontasIA1517803001097 FondaIA1517803001098 FondaIA1517803001099 FondaIA1517803001100 FondaIA1517803001101 PocahontasIA1517803001102 PocahontasIA1517803001103 PocahontasIA1517803001104 PocahontasIA1517803001105 PocahontasIA1517803001106 PocahontasIA1517803001107 PocahontasIA1517803001108 PocahontasIA1517803001109 PocahontasIA1517803001110 PocahontasIA1517803001111 PocahontasIA1517803001112 PocahontasIA1517803001113 PocahontasIA1517803001114 PocahontasIA1517803001115 PocahontasIA1517803001116 PocahontasIA1517803001117 PocahontasIA1517803001118 PocahontasIA1517803001119 PocahontasIA1517803001120 PocahontasIA1517803001121 FondaIA1517803001122 FondaIA1517803001123 PocahontasIA1517803001124 FondaIA1517803001125 FondaIA1517803001126 FondaIA1517803001127 FondaIA1517803001128 PocahontasIA1517803001129 PocahontasIA1517803001130 PocahontasIA1517803001131 PocahontasIA1517803001132 PocahontasIA1517803001133 PocahontasIA1517803001134 FondaIA1517803001135 FondaIA1517803001136 FondaIA1517803001137 FondaIA1517803001138 FondaIA1517803001139 FondaIA1517803001140 FondaIA1517803001141 FondaIA1517803001142 PocahontasIA1517803001143 PocahontasIA1517803001144 PocahontasIA1517803001145 PocahontasIA1517803001146 PomeroyIA1517803001147 PomeroyIA1517803001148 PomeroyIA1517803001149 PocahontasIA1517803001150 PocahontasIA1517803001151 FondaIA1517803001152 FondaIA1517803001153 FondaIA1517803001154 FondaIA1517803001155 FondaIA1517803001156 FondaIA1517803001157 FondaIA1517803001158 FondaIA1517803001159 FondaIA1517803001160 FondaIA1517803001161 FondaIA1517803001163 FondaIA1517803001164 FondaIA1517803001167 FondaIA1517803001168 FondaIA1517803001169 FondaIA1517803001170 FondaIA1517803001171 FondaIA1517803001172 FondaIA1517803001173 FondaIA1517803001174 FondaIA1517803001175 FondaIA1517803001176 FondaIA1517803001177 FondaIA1517803001178 FondaIA1517803001179 FondaIA1517803001180 FondaIA1517803001181 FondaIA1517803001182 FondaIA1517803001183 FondaIA1517803001184 PomeroyIA1517803001185 PocahontasIA1517803001186 PomeroyIA1517803001187 PomeroyIA1517803001188 FondaIA1517803001189 FondaIA1517803001190 FondaIA1517803001191 FondaIA1517803001192 FondaIA1517803001193 PomeroyIA1517803001194 FondaIA1517803001195 PomeroyIA1517803001196 PomeroyIA1517803001197 PomeroyIA1517803001198 PomeroyIA1517803001199 PomeroyIA1517803001200 PomeroyIA1517803001201 PomeroyIA1517803001202 PomeroyIA1517803001203 PomeroyIA1517803001204 PomeroyIA1517803001205 PomeroyIA1517803001206 PomeroyIA1517803001207 PomeroyIA1517803001208 FondaIA1517803001209 PomeroyIA1517803001210 PomeroyIA1517803001211 PomeroyIA1517803001212 PomeroyIA1517803001213 PomeroyIA1517803001214 PomeroyIA1517803001215 PomeroyIA1517803001216 PomeroyIA1517803001217 PomeroyIA1517803001218 PomeroyIA1517803001219 FondaIA1517803001220 FondaIA1517803001221 FondaIA1517803001222 FondaIA1517803001223 FondaIA1517803001224 FondaIA1517803001225 FondaIA1517803001226 FondaIA1517803001227 FondaIA1517803001228 FondaIA1517803001229 FondaIA1517803001230 FondaIA1517803001231 FondaIA1517803001232 FondaIA1517803001233 FondaIA1517803001234 FondaIA1517803001235 FondaIA1517803001236 FondaIA1517803001237 FondaIA1517803001238 FondaIA1517803001239 FondaIA1517803001240 FondaIA1517803001241 FondaIA1517803001242 FondaIA1517803001243 FondaIA1517803001244 FondaIA1517803001245 FondaIA1517803001246 FondaIA1517803001247 FondaIA1517803001248 FondaIA1517803001249 FondaIA1517803001250 FondaIA1517803001251 FondaIA1517803001252 FondaIA1517803001253 FondaIA1517803001254 FondaIA1517803001255 FondaIA1517803001256 FondaIA1517803001257 FondaIA1517803001258 FondaIA1517803001259 FondaIA1517803001260 FondaIA1517803001261 FondaIA1517803001262 FondaIA1517803001263 FondaIA1517803001264 FondaIA1517803001265 FondaIA1517803001266 FondaIA1517803001267 FondaIA1517803001268 FondaIA1517803001269 FondaIA1517803001270 FondaIA1517803001271 FondaIA1517803001272 FondaIA1517803001273 FondaIA1517803001274 FondaIA1517803001275 FondaIA1517803001276 FondaIA1517803001277 PomeroyIA1517803001278 PomeroyIA1517803001279 PomeroyIA1517803001280 FondaIA1517803001281 PomeroyIA1517803001282 FondaIA1517803001283 FondaIA1517803001284 FondaIA1517803001285 PomeroyIA1517803001286 PomeroyIA1517803001287 FondaIA1517803001288 FondaIA1517803001289 FondaIA1517803001290 FondaIA1517803001291 PomeroyIA1517803001292 FondaIA1517803001293 FondaIA1517803001294 FondaIA1517803001295 FondaIA1517803001296 FondaIA1517803001297 FondaIA1517803001298 FondaIA1517803001299 FondaIA1517803001300 VarinaIA1517803001301 VarinaIA1517803001302 PocahontasIA1517803001303 FondaIA1517803001304 Albert CityIA1517803001305 FondaIA1517803001306 Albert CityIA1517803001307 VarinaIA1517803001308 Varina


*A census block group is a geographic area defined by the United States Census Bureau and used for the census. On average, a census block group has around 1,500 residents. Census block groups, as well as census tracts, are more uniformly distributed in terms of the number of residents than cities or zip codes. Also, the census block group and the census tract demographic data are nearly 100% complete vs. less than 70% coverage of demographic data for cities and zip codes. Therefore census block groups and the census tracts are an excellent way to understand locations in a smaller scale, for example understanding the different areas of a large city. Census block groups are smaller than census tracts and can be further divided into census blocks for understanding locations at the block and community level.


 
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