Counties
|
|
|
Predictions
|
Place
|
|
Population
|
3% increase
|
4% increase
|
5% increase
|
Connecticut
|
|
3107576
|
|
|
|
Fairfield C
|
|
807143
|
|
|
|
Hartford C
|
|
807766
|
|
|
|
Litchfield C
|
|
156769
|
|
|
|
Middlesex C
|
129017
|
|
|
|
New Haven C
|
761337
|
|
|
|
New London C
|
238409
|
|
|
|
Tolland C
|
|
114823
|
|
|
|
Windham C
|
|
92312
|
|
|
|
Source Connecticut 1980 Census
Projection
Cities
Place
|
Population
|
3%
|
4%
|
5%
|
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Datasheet
County
|
|
Births
|
Deaths
|
Infant Death
|
Mother teen
|
Fairfield
|
|
12510
|
7171
|
68
|
|
332
|
Hartford
|
|
10966
|
7861
|
86
|
|
528
|
Litchfield
|
|
2027
|
1572
|
4
|
|
41
|
Middlesex
|
|
1874
|
1336
|
14
|
|
32
|
New Haven
|
|
10723
|
7682
|
79
|
|
454
|
New London
|
3496
|
2141
|
22
|
|
125
|
Tolland
|
|
1591
|
849
|
7
|
|
28
|
Windham
|
|
1268
|
927
|
6
|
|
57
|
Source 1996 Connecticut registration report
Basic Math Formulas
Percent increase or decrease = (birth rate-death rate)/10
Rate Score = (Highest rank-Lowest rank)/The range of rank
In order to determine the rate score, the first step is to figure out the city value and rank then from 1 to 169. Then find the range by subtracting the highest rank from the lowest rank.
Pop.
|
3%
|
100
|
3
|
103
|
3
|
106
|
3
|
109
|
3
|
112
|
3
|
115
|
3
|
118
|
3
|
World Population Growth from year Zero to 2150
Year
|
Population in BI
|
_______________
|
|
_________________
|
0
|
0.30
|
|
|
1000
|
0.31
|
|
|
1250
|
0.41
|
|
|
1500
|
0.50
|
|
|
1800
|
0.98
|
|
|
1850
|
1.26
|
|
|
1900
|
1.65
|
|
|
1910
|
1.75
|
|
|
1920
|
1.86
|
|
|
1940
|
2.30
|
|
|
1950
|
2.52
|
|
|
1960
|
3.02
|
|
|
1970
|
3.70
|
|
|
1980
|
4.45
|
|
|
1990
|
5.30
|
|
|
1994
|
5.63
|
|
|
2000
|
6.23
|
|
|
2025
|
8.47
|
|
|
2050
|
10.02
|
|
|
2100
|
11.19
|
|
|
2150
|
11.54
|
|
|
2200
|
11.6
|
|
|
Infant mortality rate (deaths per, 1,000 live births) in 1991
Rank
|
City
|
|
Rate
|
|
|
1
|
Miami
|
|
5.3
|
|
|
2
|
Austin
|
|
5.8
|
|
|
3
|
El Paso
|
|
6.4
|
|
|
4
|
Honolulu
|
|
6.5
|
|
|
5
|
San Diego
|
|
6.8
|
|
|
6
|
San Francisco
|
|
6.8
|
|
|
7
|
San Jose
|
|
6.9
|
|
|
8
|
San Antonio
|
|
7.1
|
|
|
9
|
Los Angeles
|
|
8.2
|
|
|
10
|
Phoenix
|
|
8.2
|
|
|
11
|
Boston
|
|
8.4
|
|
|
12
|
Nashville-Davidson
|
8.6
|
|
|
13
|
Long Beach
|
|
8.7
|
|
|
14
|
Tucson
|
|
8.7
|
|
|
15
|
Dallas
|
|
8.9
|
|
|
16
|
Seattle
|
|
9.1
|
|
|
17
|
Albuquerque
|
|
9.4
|
|
|
18
|
Houston
|
|
9.4
|
|
|
19
|
Tulsa
|
|
9.6
|
|
|
20
|
Sacramento
|
|
9.7
|
|
|
21
|
Oakland
|
|
9.8
|
|
|
22
|
Charlotte
|
|
9.9
|
|
|
23
|
Fort Worth
|
|
10.0
|
|
|
24
|
Omaha
|
|
10.5
|
|
|
25
|
Portland
|
|
10.5
|
|
|
26
|
Fresno
|
|
10.6
|
27
|
Denver
|
|
10.8
|
28
|
Indianapolis
|
|
10.8
|
29
|
Columbus
|
|
10.9
|
30
|
Jacksonville
|
|
11.0
|
31
|
Milwaukee
|
|
11.2
|
32
|
New York
|
|
11.4
|
33
|
Cincinnati
|
|
11.7
|
34
|
Oklahoma City
|
12.4
|
35
|
Toledo
|
|
12.6
|
36
|
Kansas City
|
|
12.7
|
37
|
Minneapolis
|
|
12.8
|
38
|
Virginia Beach
|
|
12.9
|
39
|
Baltimore
|
|
13.2
|
40
|
Atlanta
|
|
14.4
|
41
|
Philadelphia
|
|
14.5
|
42
|
New Orleans
|
|
14.6
|
43
|
Pittsburgh
|
|
14.6
|
44
|
Chicago
|
|
15.2
|
45
|
Buffalo
|
|
15.5
|
46
|
Memphis
|
|
16.3
|
47
|
Cleveland
|
|
17.0
|
48
|
St. Louis
|
|
17.2
|
49
|
Detroit
|
|
19.4
|
50
|
District of Columbia
|
21.0
|