pandas美国人口分析实例
2024-04-08 14:49:41
美国人口分析
- 读取csv文件中的数据
- 使用merge进行数据融合
- 当需要级联的属性名相同时
- 当需要级联的属性名不同时
- 删除一列数据：drop
- 查看空数据，并根据不同情况进行相应处理
- 数据清洗
- 当空数据比例高时，对空数据进行赋值操作
- 当空数据比例低，且难以赋值时，对数据进行删除操作
- 级联之后的分析操作
- 查看是否包含空数据，进行数据清洗
- 对人口密度进行计算、级联
- 用类似sql的功能进行数据查找
读取csv文件中的数据
要从csv类型文件中读取数据到pandas中，可以使用read_csv命令
- 输入
import numpy as np
import pandas as pd
from pandas import Series,DataFrameareas = pd.read_csv('./state-areas.csv')
areas
areas.shapeabb = pd.read_csv('./state-abbrevs.csv')
abb
abb.shapepop = pd.read_csv('./state-population.csv')
pop
pop.shape
- 输出
state area (sq. mi)
0 Alabama 52423
1 Alaska 656425
2 Arizona 114006
3 Arkansas 53182
4 California 163707
5 Colorado 104100
6 Connecticut 5544
7 Delaware 1954
8 Florida 65758
9 Georgia 59441
10 Hawaii 10932
11 Idaho 83574
12 Illinois 57918
13 Indiana 36420
14 Iowa 56276
15 Kansas 82282
16 Kentucky 40411
17 Louisiana 51843
18 Maine 35387
19 Maryland 12407
20 Massachusetts 10555
21 Michigan 96810
22 Minnesota 86943
23 Mississippi 48434
24 Missouri 69709
25 Montana 147046
26 Nebraska 77358
27 Nevada 110567
28 New Hampshire 9351
29 New Jersey 8722
30 New Mexico 121593
31 New York 54475
32 North Carolina 53821
33 North Dakota 70704
34 Ohio 44828
35 Oklahoma 69903
36 Oregon 98386
37 Pennsylvania 46058
38 Rhode Island 1545
39 South Carolina 32007
40 South Dakota 77121
41 Tennessee 42146
42 Texas 268601
43 Utah 84904
44 Vermont 9615
45 Virginia 42769
46 Washington 71303
47 West Virginia 24231
48 Wisconsin 65503
49 Wyoming 97818
50 District of Columbia 68
51 Puerto Rico 3515(52, 2)state abbreviation
0 Alabama AL
1 Alaska AK
2 Arizona AZ
3 Arkansas AR
4 California CA
5 Colorado CO
6 Connecticut CT
7 Delaware DE
8 District of Columbia DC
9 Florida FL
10 Georgia GA
11 Hawaii HI
12 Idaho ID
13 Illinois IL
14 Indiana IN
15 Iowa IA
16 Kansas KS
17 Kentucky KY
18 Louisiana LA
19 Maine ME
20 Montana MT
21 Nebraska NE
22 Nevada NV
23 New Hampshire NH
24 New Jersey NJ
25 New Mexico NM
26 New York NY
27 North Carolina NC
28 North Dakota ND
29 Ohio OH
30 Oklahoma OK
31 Oregon OR
32 Maryland MD
33 Massachusetts MA
34 Michigan MI
35 Minnesota MN
36 Mississippi MS
37 Missouri MO
38 Pennsylvania PA
39 Rhode Island RI
40 South Carolina SC
41 South Dakota SD
42 Tennessee TN
43 Texas TX
44 Utah UT
45 Vermont VT
46 Virginia VA
47 Washington WA
48 West Virginia WV
49 Wisconsin WI
50 Wyoming WY
(51, 2)state/region ages year population
0 AL under18 2012 1117489.0
1 AL total 2012 4817528.0
2 AL under18 2010 1130966.0
3 AL total 2010 4785570.0
4 AL under18 2011 1125763.0
5 AL total 2011 4801627.0
6 AL total 2009 4757938.0
7 AL under18 2009 1134192.0
8 AL under18 2013 1111481.0
9 AL total 2013 4833722.0
10 AL total 2007 4672840.0
11 AL under18 2007 1132296.0
12 AL total 2008 4718206.0
13 AL under18 2008 1134927.0
14 AL total 2005 4569805.0
15 AL under18 2005 1117229.0
16 AL total 2006 4628981.0
17 AL under18 2006 1126798.0
18 AL total 2004 4530729.0
19 AL under18 2004 1113662.0
20 AL total 2003 4503491.0
21 AL under18 2003 1113083.0
22 AL total 2001 4467634.0
23 AL under18 2001 1120409.0
24 AL total 2002 4480089.0
25 AL under18 2002 1116590.0
26 AL under18 1999 1121287.0
27 AL total 1999 4430141.0
28 AL total 2000 4452173.0
29 AL under18 2000 1122273.0
... ... ... ... ...
2514 USA under18 1999 71946051.0
2515 USA total 2000 282162411.0
2516 USA under18 2000 72376189.0
2517 USA total 1999 279040181.0
2518 USA total 2001 284968955.0
2519 USA under18 2001 72671175.0
2520 USA total 2002 287625193.0
2521 USA under18 2002 72936457.0
2522 USA total 2003 290107933.0
2523 USA under18 2003 73100758.0
2524 USA total 2004 292805298.0
2525 USA under18 2004 73297735.0
2526 USA total 2005 295516599.0
2527 USA under18 2005 73523669.0
2528 USA total 2006 298379912.0
2529 USA under18 2006 73757714.0
2530 USA total 2007 301231207.0
2531 USA under18 2007 74019405.0
2532 USA total 2008 304093966.0
2533 USA under18 2008 74104602.0
2534 USA under18 2013 73585872.0
2535 USA total 2013 316128839.0
2536 USA total 2009 306771529.0
2537 USA under18 2009 74134167.0
2538 USA under18 2010 74119556.0
2539 USA total 2010 309326295.0
2540 USA under18 2011 73902222.0
2541 USA total 2011 311582564.0
2542 USA under18 2012 73708179.0
2543 USA total 2012 313873685.0
2544 rows × 4 columns(2544, 4)
使用merge进行数据融合
merge的使用场合：pop人口数据，数量特别多（包含历年各州数据），abbrevs数据少（等于美国州的数量）。可以利用pop中的state/region和abbrevs中的abbreviation建立对应关系，此时只能使用merge进行融合
当需要级联的属性名相同时
- 输入
pop2 = pop.merge(abb,how = 'outer',left_on = 'state/region',right_on = 'abbreviation')
pop2.head()
pop2.shape
- 输出
state/region ages year population state abbreviation
0 AL under18 2012 1117489.0 Alabama AL
1 AL total 2012 4817528.0 Alabama AL
2 AL under18 2010 1130966.0 Alabama AL
3 AL total 2010 4785570.0 Alabama AL
4 AL under18 2011 1125763.0 Alabama ALpop2.shape
当需要级联的属性名不同时
- 如果属性名字不同，那么我们需要告诉级联方法，级联时，分别根据哪个属性进行合并，left_on,right_on,merge融合方式
- inner内连接（两个DataFrame都有keys时才会保留），outer（无论有没有都保留），outer连接融合不会出现数据丢失的情况，但可能出现空值。
删除一列数据：drop
- 输入
pop2.drop(labels = 'abbreviation',axos = 1, inplace =True)
pop2.head()
- 输出
state/region ages year population state
0 AL under18 2012 1117489.0 Alabama
1 AL total 2012 4817528.0 Alabama
2 AL under18 2010 1130966.0 Alabama
3 AL total 2010 4785570.0 Alabama
4 AL under18 2011 1125763.0 Alabama
- 写inplace = True的作用是防止数据自动输出占用内存
查看空数据，并根据不同情况进行相应处理
- 查看哪些数据为空，给判断：state这一列isnull().boolean类型的值，Series
- 使用条件进行数据的检索，DataFrame的高级功能，DataFrame索引和切片操作，loc,iloc
- df[cond] cond是条件，Series
- 去重操作，保留非重复值：pop2[cond][‘state/region’].unique()
输入
pop2.isnull().any()
# 定位为空的数据
cond = pop2['state'].isnull()
cond
# 返回的数据只有当state为空时，返回，为空时True
pop2[cond]
# 去重操作，保留非重复值，查看有哪些州的人口数为空值
pop2[cond]['state/region'].unique()
输出
state/region False
ages False
year False
population True
state True
dtype: bool0 False
1 False
2 False
3 False
4 False
5 False
6 False
7 False
8 False
9 False
10 False
11 False
12 False
13 False
14 False
15 False
16 False
17 False
18 False
19 False
20 False
21 False
22 False
23 False
24 False
25 False
26 False
27 False
28 False
29 False...
2514 True
2515 True
2516 True
2517 True
2518 True
2519 True
2520 True
2521 True
2522 True
2523 True
2524 True
2525 True
2526 True
2527 True
2528 True
2529 True
2530 True
2531 True
2532 True
2533 True
2534 True
2535 True
2536 True
2537 True
2538 True
2539 True
2540 True
2541 True
2542 True
2543 True
Name: state, Length: 2544, dtype: boolstate/region ages year population state
2448 PR under18 1990 NaN NaN
2449 PR total 1990 NaN NaN
2450 PR total 1991 NaN NaN
2451 PR under18 1991 NaN NaN
2452 PR total 1993 NaN NaN
2453 PR under18 1993 NaN NaN
2454 PR under18 1992 NaN NaN
2455 PR total 1992 NaN NaN
2456 PR under18 1994 NaN NaN
2457 PR total 1994 NaN NaN
2458 PR total 1995 NaN NaN
2459 PR under18 1995 NaN NaN
2460 PR under18 1996 NaN NaN
2461 PR total 1996 NaN NaN
2462 PR under18 1998 NaN NaN
2463 PR total 1998 NaN NaN
2464 PR total 1997 NaN NaN
2465 PR under18 1997 NaN NaN
2466 PR total 1999 NaN NaN
2467 PR under18 1999 NaN NaN
2468 PR total 2000 3810605.0 NaN
2469 PR under18 2000 1089063.0 NaN
2470 PR total 2001 3818774.0 NaN
2471 PR under18 2001 1077566.0 NaN
2472 PR total 2002 3823701.0 NaN
2473 PR under18 2002 1065051.0 NaN
2474 PR total 2004 3826878.0 NaN
2475 PR under18 2004 1035919.0 NaN
2476 PR total 2003 3826095.0 NaN
2477 PR under18 2003 1050615.0 NaN
... ... ... ... ... ...
2514 USA under18 1999 71946051.0 NaN
2515 USA total 2000 282162411.0 NaN
2516 USA under18 2000 72376189.0 NaN
2517 USA total 1999 279040181.0 NaN
2518 USA total 2001 284968955.0 NaN
2519 USA under18 2001 72671175.0 NaN
2520 USA total 2002 287625193.0 NaN
2521 USA under18 2002 72936457.0 NaN
2522 USA total 2003 290107933.0 NaN
2523 USA under18 2003 73100758.0 NaN
2524 USA total 2004 292805298.0 NaN
2525 USA under18 2004 73297735.0 NaN
2526 USA total 2005 295516599.0 NaN
2527 USA under18 2005 73523669.0 NaN
2528 USA total 2006 298379912.0 NaN
2529 USA under18 2006 73757714.0 NaN
2530 USA total 2007 301231207.0 NaN
2531 USA under18 2007 74019405.0 NaN
2532 USA total 2008 304093966.0 NaN
2533 USA under18 2008 74104602.0 NaN
2534 USA under18 2013 73585872.0 NaN
2535 USA total 2013 316128839.0 NaN
2536 USA total 2009 306771529.0 NaN
2537 USA under18 2009 74134167.0 NaN
2538 USA under18 2010 74119556.0 NaN
2539 USA total 2010 309326295.0 NaN
2540 USA under18 2011 73902222.0 NaN
2541 USA total 2011 311582564.0 NaN
2542 USA under18 2012 73708179.0 NaN
2543 USA total 2012 313873685.0 NaN
96 rows × 5 columns
array(['PR', 'USA'], dtype=object)
数据清洗
当空数据比例高时，对空数据进行赋值操作
- 输入
# 找到哪些数据为空数据
cond = pop2['state/region'] == 'PR'
cond
# 赋值操作
pop2['state'][cond] = 'Puerto Rice'
cond = pop2['state/region'] == 'USA'
pop2['state'][cond]='United State'pop2.isnull().any()
- 输出
0 False
1 False
2 False
3 False
4 False
5 False
6 False
7 False
8 False
9 False
10 False
11 False
12 False
13 False
14 False
15 False
16 False
17 False
18 False
19 False
20 False
21 False
22 False
23 False
24 False
25 False
26 False
27 False
28 False
29 False...
2514 False
2515 False
2516 False
2517 False
2518 False
2519 False
2520 False
2521 False
2522 False
2523 False
2524 False
2525 False
2526 False
2527 False
2528 False
2529 False
2530 False
2531 False
2532 False
2533 False
2534 False
2535 False
2536 False
2537 False
2538 False
2539 False
2540 False
2541 False
2542 False
2543 False
Name: state/region, Length: 2544, dtype: boolstate/region False
ages False
year False
population True
state False
dtype: bool
当空数据比例低，且难以赋值时，对数据进行删除操作
- pop2[‘state’][cond]='Puerto Rico’对空数据进行赋值
#将难于进行补全的空数据进行删除，前提是空数据比例很少 - pop2.dropna(inplace = True)
输入
# 查找，定位空数据
cond = pop2['population'].isnull()
pop[cond]
pop2[cond].shape
# 将难于进行补全的数据进行删除
pop2.dropna(inplace = True)
pop2.shape
pop2.isnull().any()
pop2.notnull().all()
输出
state/region ages year population
2448 PR under18 1990 NaN
2449 PR total 1990 NaN
2450 PR total 1991 NaN
2451 PR under18 1991 NaN
2452 PR total 1993 NaN
2453 PR under18 1993 NaN
2454 PR under18 1992 NaN
2455 PR total 1992 NaN
2456 PR under18 1994 NaN
2457 PR total 1994 NaN
2458 PR total 1995 NaN
2459 PR under18 1995 NaN
2460 PR under18 1996 NaN
2461 PR total 1996 NaN
2462 PR under18 1998 NaN
2463 PR total 1998 NaN
2464 PR total 1997 NaN
2465 PR under18 1997 NaN
2466 PR total 1999 NaN
2467 PR under18 1999 NaN(20, 5)
(2524, 5)state/region False
ages False
year False
population False
state False
dtype: boolstate/region True
ages True
year True
population True
state True
dtype: bool
级联之后的分析操作
查看是否包含空数据，进行数据清洗
- 将缺失的美国面积数据进行填充
输入
# 进行级联
pop3 = pop2.merge(areas, how = 'outer')
pop3.shape
pop3.head()
# 查看是否有空数据
pop3.isnull().any()
# 查看空数据位置
cond = pop3['area (sq. mi)'].isnull()
pop3[cond]
# 对空数据进行填充
a = areas['area (sq. mi)'].sum()
apop3['state'] == 'United State'
pop3['area (sq. mi)'][cond] = a
# 再次检查是否有空数据
pop3.notnull().all()
输出
(2524, 6)state/region ages year population state area (sq. mi)
0 AL under18 2012.0 1117489.0 Alabama 52423.0
1 AL total 2012.0 4817528.0 Alabama 52423.0
2 AL under18 2010.0 1130966.0 Alabama 52423.0
3 AL total 2010.0 4785570.0 Alabama 52423.0
4 AL under18 2011.0 1125763.0 Alabama 52423.0
state/region False
ages False
year False
population False
state False
area (sq. mi) True
dtype: bool2476 USA under18 1990 64218512.0 United State NaN
2477 USA total 1990 249622814.0 United State NaN
... ... ... ... ... ... ...
2494 USA under18 1999 71946051.0 United State NaN
2495 USA total 2000 282162411.0 United State NaN
2496 USA under18 2000 72376189.0 United State NaN
2497 USA total 1999 279040181.0 United State NaN
2498 USA total 2001 284968955.0 United State NaN
2499 USA under18 2001 72671175.0 United State NaN
2500 USA total 2002 287625193.0 United State NaN
2501 USA under18 2002 72936457.0 United State NaN
2502 USA total 2003 290107933.0 United State NaN
2503 USA under18 2003 73100758.0 United State NaN
2504 USA total 2004 292805298.0 United State NaN
2505 USA under18 2004 73297735.0 United State NaN
2506 USA total 2005 295516599.0 United State NaN
2507 USA under18 2005 73523669.0 United State NaN
2508 USA total 2006 298379912.0 United State NaN
2509 USA under18 2006 73757714.0 United State NaN
2510 USA total 2007 301231207.0 United State NaN
2511 USA under18 2007 74019405.0 United State NaN
2512 USA total 2008 304093966.0 United State NaN
2513 USA under18 2008 74104602.0 United State NaN
2514 USA under18 2013 73585872.0 United State NaN
2515 USA total 2013 316128839.0 United State NaN
2516 USA total 2009 306771529.0 United State NaN
2517 USA under18 2009 74134167.0 United State NaN
2518 USA under18 2010 74119556.0 United State NaN
2519 USA total 2010 309326295.0 United State NaN
2520 USA under18 2011 73902222.0 United State NaN
2521 USA total 2011 311582564.0 United State NaN
2522 USA under18 2012 73708179.0 United State NaN
2523 USA total 2012 313873685.0 United State NaN3786884state/region True
ages True
year True
population True
state True
area (sq. mi) True
dtype: bool
对人口密度进行计算、级联
- 输入
pop_density = (pop3['population']/pop3['area (sq. mi)']).round(1)
pop_density
pop_density = DataFrame(pop_density)
pop_density
pop_density.columns = ['pop_density']
pop_density.head()
pop4 = pop3.merge(pop_density,left_index = True, right_index = True)
pop4.head()
- 输出
0 21.3
1 91.9
2 21.6
3 91.3
4 21.5
5 91.6
6 90.8
7 21.6
8 21.2
9 92.2
10 89.1
11 21.6
12 90.0
13 21.6
14 87.2
15 21.3
16 88.3
17 21.5
18 86.4
19 21.2
20 85.9
21 21.2
22 85.2
23 21.4
24 85.5
25 21.3
26 21.4
27 84.5
28 84.9
29 21.4...
2494 19.0
2495 74.4
2496 19.1
2497 73.6
2498 75.2
2499 19.2
2500 75.9
2501 19.2
2502 76.5
2503 19.3
2504 77.2
2505 19.3
2506 78.0
2507 19.4
2508 78.7
2509 19.5
2510 79.5
2511 19.5
2512 80.2
2513 19.6
2514 19.4
2515 83.4
2516 80.9
2517 19.6
2518 19.6
2519 81.6
2520 19.5
2521 82.2
2522 19.4
2523 82.8
Length: 2524, dtype: float640
0 21.3
1 91.9
2 21.6
3 91.3
4 21.5
5 91.6
6 90.8
7 21.6
8 21.2
9 92.2
10 89.1
11 21.6
12 90.0
13 21.6
14 87.2
15 21.3
16 88.3
17 21.5
18 86.4
19 21.2
20 85.9
21 21.2
22 85.2
23 21.4
24 85.5
25 21.3
26 21.4
27 84.5
28 84.9
29 21.4
... ...
2494 19.0
2495 74.4
2496 19.1
2497 73.6
2498 75.2
2499 19.2
2500 75.9
2501 19.2
2502 76.5
2503 19.3
2504 77.2
2505 19.3
2506 78.0
2507 19.4
2508 78.7
2509 19.5
2510 79.5
2511 19.5
2512 80.2
2513 19.6
2514 19.4
2515 83.4
2516 80.9
2517 19.6
2518 19.6
2519 81.6
2520 19.5
2521 82.2
2522 19.4
2523 82.8
2524 rows × 1 columnspop_density
0 21.3
1 91.9
2 21.6
3 91.3
4 21.5state/region ages year population state area (sq. mi) pop_density
0 AL under18 2012 1117489.0 Alabama 52423.0 21.3
1 AL total 2012 4817528.0 Alabama 52423.0 91.9
2 AL under18 2010 1130966.0 Alabama 52423.0 21.6
3 AL total 2010 4785570.0 Alabama 52423.0 91.3
4 AL under18 2011 1125763.0 Alabama 52423.0 21.5
用类似sql的功能进行数据查找
- 输入
# 查找2012年美国各州全民人口数据
pop4['year'].unique()
pop4['ages'].unique()
pop5 = pop4.query("year == 2012 and ages == 'total'")
pop5
# 改变列索引
pop5 = pop5.set_index(keys = 'state/region')
pop5
# 对人口密度进行排序
pop5.sort_values(by = 'pop_density')
pop5.sort_values(by = 'pop_density',ascending = False)
- 输出
array([2012, 2010, 2011, 2009, 2013, 2007, 2008, 2005, 2006, 2004, 2003,2001, 2002, 1999, 2000, 1998, 1997, 1996, 1995, 1994, 1993, 1992,1991, 1990], dtype=int64)
array(['under18', 'total'], dtype=object)state/region ages year population state area (sq. mi) pop_density
1 AL total 2012 4817528.0 Alabama 52423.0 91.9
95 AK total 2012 730307.0 Alaska 656425.0 1.1
97 AZ total 2012 6551149.0 Arizona 114006.0 57.5
191 AR total 2012 2949828.0 Arkansas 53182.0 55.5
193 CA total 2012 37999878.0 California 163707.0 232.1
287 CO total 2012 5189458.0 Colorado 104100.0 49.9
289 CT total 2012 3591765.0 Connecticut 5544.0 647.9
383 DE total 2012 917053.0 Delaware 1954.0 469.3
385 DC total 2012 633427.0 District of Columbia 68.0 9315.1
479 FL total 2012 19320749.0 Florida 65758.0 293.8
480 GA total 2012 9915646.0 Georgia 59441.0 166.8
575 HI total 2012 1390090.0 Hawaii 10932.0 127.2
576 ID total 2012 1595590.0 Idaho 83574.0 19.1
671 IL total 2012 12868192.0 Illinois 57918.0 222.2
672 IN total 2012 6537782.0 Indiana 36420.0 179.5
767 IA total 2012 3075039.0 Iowa 56276.0 54.6
768 KS total 2012 2885398.0 Kansas 82282.0 35.1
863 KY total 2012 4379730.0 Kentucky 40411.0 108.4
864 LA total 2012 4602134.0 Louisiana 51843.0 88.8
959 ME total 2012 1328501.0 Maine 35387.0 37.5
960 MD total 2012 5884868.0 Maryland 12407.0 474.3
1055 MA total 2012 6645303.0 Massachusetts 10555.0 629.6
1056 MI total 2012 9882519.0 Michigan 96810.0 102.1
1151 MN total 2012 5379646.0 Minnesota 86943.0 61.9
1152 MS total 2012 2986450.0 Mississippi 48434.0 61.7
1247 MO total 2012 6024522.0 Missouri 69709.0 86.4
1248 MT total 2012 1005494.0 Montana 147046.0 6.8
1343 NE total 2012 1855350.0 Nebraska 77358.0 24.0
1344 NV total 2012 2754354.0 Nevada 110567.0 24.9
1439 NH total 2012 1321617.0 New Hampshire 9351.0 141.3
1440 NJ total 2012 8867749.0 New Jersey 8722.0 1016.7
1535 NM total 2012 2083540.0 New Mexico 121593.0 17.1
1536 NY total 2012 19576125.0 New York 54475.0 359.4
1631 NC total 2012 9748364.0 North Carolina 53821.0 181.1
1632 ND total 2012 701345.0 North Dakota 70704.0 9.9
1727 OH total 2012 11553031.0 Ohio 44828.0 257.7
1728 OK total 2012 3815780.0 Oklahoma 69903.0 54.6
1823 OR total 2012 3899801.0 Oregon 98386.0 39.6
1824 PA total 2012 12764475.0 Pennsylvania 46058.0 277.1
1919 RI total 2012 1050304.0 Rhode Island 1545.0 679.8
1920 SC total 2012 4723417.0 South Carolina 32007.0 147.6
2015 SD total 2012 834047.0 South Dakota 77121.0 10.8
2016 TN total 2012 6454914.0 Tennessee 42146.0 153.2
2111 TX total 2012 26060796.0 Texas 268601.0 97.0
2112 UT total 2012 2854871.0 Utah 84904.0 33.6
2207 VT total 2012 625953.0 Vermont 9615.0 65.1
2208 VA total 2012 8186628.0 Virginia 42769.0 191.4
2303 WA total 2012 6895318.0 Washington 71303.0 96.7
2304 WV total 2012 1856680.0 West Virginia 24231.0 76.6
2399 WI total 2012 5724554.0 Wisconsin 65503.0 87.4
2400 WY total 2012 576626.0 Wyoming 97818.0 5.9
2475 PR total 2012 3651545.0 Puerto Rice 3790399.0 1.0
2523 USA total 2012 313873685.0 United State 3790399.0 82.8ages year population state area (sq. mi) pop_density
state/region
AL total 2012 4817528.0 Alabama 52423.0 91.9
AK total 2012 730307.0 Alaska 656425.0 1.1
AZ total 2012 6551149.0 Arizona 114006.0 57.5
AR total 2012 2949828.0 Arkansas 53182.0 55.5
CA total 2012 37999878.0 California 163707.0 232.1
CO total 2012 5189458.0 Colorado 104100.0 49.9
CT total 2012 3591765.0 Connecticut 5544.0 647.9
DE total 2012 917053.0 Delaware 1954.0 469.3
DC total 2012 633427.0 District of Columbia 68.0 9315.1
FL total 2012 19320749.0 Florida 65758.0 293.8
GA total 2012 9915646.0 Georgia 59441.0 166.8
HI total 2012 1390090.0 Hawaii 10932.0 127.2
ID total 2012 1595590.0 Idaho 83574.0 19.1
IL total 2012 12868192.0 Illinois 57918.0 222.2
IN total 2012 6537782.0 Indiana 36420.0 179.5
IA total 2012 3075039.0 Iowa 56276.0 54.6
KS total 2012 2885398.0 Kansas 82282.0 35.1
KY total 2012 4379730.0 Kentucky 40411.0 108.4
LA total 2012 4602134.0 Louisiana 51843.0 88.8
ME total 2012 1328501.0 Maine 35387.0 37.5
MD total 2012 5884868.0 Maryland 12407.0 474.3
MA total 2012 6645303.0 Massachusetts 10555.0 629.6
MI total 2012 9882519.0 Michigan 96810.0 102.1
MN total 2012 5379646.0 Minnesota 86943.0 61.9
MS total 2012 2986450.0 Mississippi 48434.0 61.7
MO total 2012 6024522.0 Missouri 69709.0 86.4
MT total 2012 1005494.0 Montana 147046.0 6.8
NE total 2012 1855350.0 Nebraska 77358.0 24.0
NV total 2012 2754354.0 Nevada 110567.0 24.9
NH total 2012 1321617.0 New Hampshire 9351.0 141.3
NJ total 2012 8867749.0 New Jersey 8722.0 1016.7
NM total 2012 2083540.0 New Mexico 121593.0 17.1
NY total 2012 19576125.0 New York 54475.0 359.4
NC total 2012 9748364.0 North Carolina 53821.0 181.1
ND total 2012 701345.0 North Dakota 70704.0 9.9
OH total 2012 11553031.0 Ohio 44828.0 257.7
OK total 2012 3815780.0 Oklahoma 69903.0 54.6
OR total 2012 3899801.0 Oregon 98386.0 39.6
PA total 2012 12764475.0 Pennsylvania 46058.0 277.1
RI total 2012 1050304.0 Rhode Island 1545.0 679.8
SC total 2012 4723417.0 South Carolina 32007.0 147.6
SD total 2012 834047.0 South Dakota 77121.0 10.8
TN total 2012 6454914.0 Tennessee 42146.0 153.2
TX total 2012 26060796.0 Texas 268601.0 97.0
UT total 2012 2854871.0 Utah 84904.0 33.6
VT total 2012 625953.0 Vermont 9615.0 65.1
VA total 2012 8186628.0 Virginia 42769.0 191.4
WA total 2012 6895318.0 Washington 71303.0 96.7
WV total 2012 1856680.0 West Virginia 24231.0 76.6
WI total 2012 5724554.0 Wisconsin 65503.0 87.4
WY total 2012 576626.0 Wyoming 97818.0 5.9
PR total 2012 3651545.0 Puerto Rice 3790399.0 1.0
USA total 2012 313873685.0 United State 3790399.0 82.8ages year population state area (sq. mi) pop_density
state/region
PR total 2012 3651545.0 Puerto Rice 3790399.0 1.0
AK total 2012 730307.0 Alaska 656425.0 1.1
WY total 2012 576626.0 Wyoming 97818.0 5.9
MT total 2012 1005494.0 Montana 147046.0 6.8
ND total 2012 701345.0 North Dakota 70704.0 9.9
SD total 2012 834047.0 South Dakota 77121.0 10.8
NM total 2012 2083540.0 New Mexico 121593.0 17.1
ID total 2012 1595590.0 Idaho 83574.0 19.1
NE total 2012 1855350.0 Nebraska 77358.0 24.0
NV total 2012 2754354.0 Nevada 110567.0 24.9
UT total 2012 2854871.0 Utah 84904.0 33.6
KS total 2012 2885398.0 Kansas 82282.0 35.1
ME total 2012 1328501.0 Maine 35387.0 37.5
OR total 2012 3899801.0 Oregon 98386.0 39.6
CO total 2012 5189458.0 Colorado 104100.0 49.9
OK total 2012 3815780.0 Oklahoma 69903.0 54.6
IA total 2012 3075039.0 Iowa 56276.0 54.6
AR total 2012 2949828.0 Arkansas 53182.0 55.5
AZ total 2012 6551149.0 Arizona 114006.0 57.5
MS total 2012 2986450.0 Mississippi 48434.0 61.7
MN total 2012 5379646.0 Minnesota 86943.0 61.9
VT total 2012 625953.0 Vermont 9615.0 65.1
WV total 2012 1856680.0 West Virginia 24231.0 76.6
USA total 2012 313873685.0 United State 3790399.0 82.8
MO total 2012 6024522.0 Missouri 69709.0 86.4
WI total 2012 5724554.0 Wisconsin 65503.0 87.4
LA total 2012 4602134.0 Louisiana 51843.0 88.8
AL total 2012 4817528.0 Alabama 52423.0 91.9
WA total 2012 6895318.0 Washington 71303.0 96.7
TX total 2012 26060796.0 Texas 268601.0 97.0
MI total 2012 9882519.0 Michigan 96810.0 102.1
KY total 2012 4379730.0 Kentucky 40411.0 108.4
HI total 2012 1390090.0 Hawaii 10932.0 127.2
NH total 2012 1321617.0 New Hampshire 9351.0 141.3
SC total 2012 4723417.0 South Carolina 32007.0 147.6
TN total 2012 6454914.0 Tennessee 42146.0 153.2
GA total 2012 9915646.0 Georgia 59441.0 166.8
IN total 2012 6537782.0 Indiana 36420.0 179.5
NC total 2012 9748364.0 North Carolina 53821.0 181.1
VA total 2012 8186628.0 Virginia 42769.0 191.4
IL total 2012 12868192.0 Illinois 57918.0 222.2
CA total 2012 37999878.0 California 163707.0 232.1
OH total 2012 11553031.0 Ohio 44828.0 257.7
PA total 2012 12764475.0 Pennsylvania 46058.0 277.1
FL total 2012 19320749.0 Florida 65758.0 293.8
NY total 2012 19576125.0 New York 54475.0 359.4
DE total 2012 917053.0 Delaware 1954.0 469.3
MD total 2012 5884868.0 Maryland 12407.0 474.3
MA total 2012 6645303.0 Massachusetts 10555.0 629.6
CT total 2012 3591765.0 Connecticut 5544.0 647.9
RI total 2012 1050304.0 Rhode Island 1545.0 679.8
NJ total 2012 8867749.0 New Jersey 8722.0 1016.7
DC total 2012 633427.0 District of Columbia 68.0 9315.1ages year population state area (sq. mi) pop_density
state/region
DC total 2012 633427.0 District of Columbia 68.0 9315.1
NJ total 2012 8867749.0 New Jersey 8722.0 1016.7
RI total 2012 1050304.0 Rhode Island 1545.0 679.8
CT total 2012 3591765.0 Connecticut 5544.0 647.9
MA total 2012 6645303.0 Massachusetts 10555.0 629.6
MD total 2012 5884868.0 Maryland 12407.0 474.3
DE total 2012 917053.0 Delaware 1954.0 469.3
NY total 2012 19576125.0 New York 54475.0 359.4
FL total 2012 19320749.0 Florida 65758.0 293.8
PA total 2012 12764475.0 Pennsylvania 46058.0 277.1
OH total 2012 11553031.0 Ohio 44828.0 257.7
CA total 2012 37999878.0 California 163707.0 232.1
IL total 2012 12868192.0 Illinois 57918.0 222.2
VA total 2012 8186628.0 Virginia 42769.0 191.4
NC total 2012 9748364.0 North Carolina 53821.0 181.1
IN total 2012 6537782.0 Indiana 36420.0 179.5
GA total 2012 9915646.0 Georgia 59441.0 166.8
TN total 2012 6454914.0 Tennessee 42146.0 153.2
SC total 2012 4723417.0 South Carolina 32007.0 147.6
NH total 2012 1321617.0 New Hampshire 9351.0 141.3
HI total 2012 1390090.0 Hawaii 10932.0 127.2
KY total 2012 4379730.0 Kentucky 40411.0 108.4
MI total 2012 9882519.0 Michigan 96810.0 102.1
TX total 2012 26060796.0 Texas 268601.0 97.0
WA total 2012 6895318.0 Washington 71303.0 96.7
AL total 2012 4817528.0 Alabama 52423.0 91.9
LA total 2012 4602134.0 Louisiana 51843.0 88.8
WI total 2012 5724554.0 Wisconsin 65503.0 87.4
MO total 2012 6024522.0 Missouri 69709.0 86.4
USA total 2012 313873685.0 United State 3790399.0 82.8
WV total 2012 1856680.0 West Virginia 24231.0 76.6
VT total 2012 625953.0 Vermont 9615.0 65.1
MN total 2012 5379646.0 Minnesota 86943.0 61.9
MS total 2012 2986450.0 Mississippi 48434.0 61.7
AZ total 2012 6551149.0 Arizona 114006.0 57.5
AR total 2012 2949828.0 Arkansas 53182.0 55.5
OK total 2012 3815780.0 Oklahoma 69903.0 54.6
IA total 2012 3075039.0 Iowa 56276.0 54.6
CO total 2012 5189458.0 Colorado 104100.0 49.9
OR total 2012 3899801.0 Oregon 98386.0 39.6
ME total 2012 1328501.0 Maine 35387.0 37.5
KS total 2012 2885398.0 Kansas 82282.0 35.1
UT total 2012 2854871.0 Utah 84904.0 33.6
NV total 2012 2754354.0 Nevada 110567.0 24.9
NE total 2012 1855350.0 Nebraska 77358.0 24.0
ID total 2012 1595590.0 Idaho 83574.0 19.1
NM total 2012 2083540.0 New Mexico 121593.0 17.1
SD total 2012 834047.0 South Dakota 77121.0 10.8
ND total 2012 701345.0 North Dakota 70704.0 9.9
MT total 2012 1005494.0 Montana 147046.0 6.8
WY total 2012 576626.0 Wyoming 97818.0 5.9
AK total 2012 730307.0 Alaska 656425.0 1.1
PR total 2012 3651545.0 Puerto Rice 3790399.0 1.0
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