With these general ideas in mind, I have prepared a table showing the growth rate of density by state and a map that visualizes the data. For the United States as a whole, density grew at a rate of .497% from 1.99% to 2.00%. Although Delaware is hard to spot on the map, it experienced negative growth of -4.675% and North Dakota, the fastest growth in density of 12.432%. To better detect the causes of growth or decline, I derived the following formula which breaks down growth in density between growth in church membership and growth in population. The derivation of the formula is below the table.
GD=((1+GC)PO/PN)-1)100
GD is the growth in density or more formally, membership as a percentage of a state’s population. GC is the rate of growth of membership in the state. When multiplied by the membership from the previous year (MO), the product is the number of new members. When added to 1 and multiplied by the membership from the previous year, the product is the new membership. PO/PN is the ratio of the previous population of a state to the new population. If the ratio is greater than 1, population declined, if less than one, population increased. Subtracting 1 yields the growth rate of density and multiplying by 100 yields growth as a percentage.
I will use Kansas and Utah compared to the benchmark of the United States to illustrate the use of the formula. Membership in Kansas grew at 1.8%, 50% higher than the average of the country as a whole. Population growth was a little slower with the ratio of the population in 2010 to 2011*.985 at 99.6% compared to 99.3%. Because a slower growing population implies a smaller downward adjustment to church growth, the growth in density was 1.344%, 2.7 times higher than the growth in density for the United States.
Utah experienced church growth of .9%, less than the country. The state also experienced more rapid population growth than the country, with the population adjustment ratio at 98.5% compared to 99.3%. The math in the interior of the equation implies that the growth in membership did not compensate for the increase in population (1.009*.985)-1=.994-1=.-.00614 or –.614% (differences with the table are due to rounding errors).
The growth in density conforms to the model I present. Kansas with low density, a small portion of its residents are LDS, experienced growing density and Utah, the state with the highest density, and rapidly growing population experienced a loss of density.
The data hides more than it reveals. Membership changes due to births, deaths, conversions and excommunications. A state can benefit by a high birth rate and conversions but if more members move out than move in, it will suffer a decline in membership. And I must add that a one year trend is not particularly telling. I still have much to learn, but I enjoyed the process of comparing changes in church membership across states.
State |
GD =
|
((1+GC)
|
PO/PN
|
-1)*100
|
Alabama |
.907%=
|
((1+.013)
|
.996
|
-1)*100
|
Alaska |
-.283%=
|
((1+.009)
|
.988
|
-1)*100
|
Arizona |
.804%=
|
((1+.019)
|
.989
|
-1)*100
|
Arkansas |
1.365%=
|
((1+.019)
|
.994
|
-1)*100
|
California |
-.293%=
|
((1+.007)
|
.991
|
-1)*100
|
Colorado |
.333%=
|
((1+.017)
|
.986
|
-1)*100
|
Connecticut |
1.620%=
|
((1+.018)
|
.999
|
-1)*100
|
Delaware |
-4.675%=
|
((1-.039)
|
.992
|
-1)*100
|
Florida |
.690%=
|
((1+.019)
|
.991
|
-1)*100
|
Georgia |
.797%=
|
((1+.019)
|
.998
|
-1)*100
|
Hawaii |
.826%=
|
((1++.017)
|
.992
|
-1)*100
|
Idaho |
-.201%=
|
((1+.009)
|
.991
|
-1)*100
|
Illinois |
-.024%=
|
((1+.002)
|
.998
|
-1)*100
|
Indiana |
.395%=
|
((1+.008)
|
.996
|
-1)*100
|
Iowa |
2.707%=
|
((1+.031)
|
.996
|
-1)*100
|
Kansas |
1.344%=
|
((1+.018)
|
.996
|
-1)*100
|
Kentucky |
.218%=
|
((1+.007)
|
.995
|
-1)*100
|
Louisiana |
.628%=
|
((1+.013)
|
.994
|
-1)*100
|
Maine |
.257%=
|
((1+.003)
|
.999
|
-1)*100
|
Maryland |
2.610%=
|
((1+.034)
|
.993
|
-1)*100
|
Massachusetts |
1.191%=
|
((1+.016)
|
.995
|
-1)*100
|
Michigan |
.901%=
|
((1+.009)
|
1.00
|
-1)*100
|
Minnesota |
.194%=
|
((1+.008)
|
.994
|
-1)*100
|
Mississippi |
1.009%=
|
((1+.013)
|
.997
|
-1)*100
|
Missouri |
.693%=
|
((1+.009)
|
.998
|
-1)*100
|
Montana |
.597%=
|
((1+.013)
|
.993
|
-1)*100
|
Nebraska |
-.206%=
|
((1+.005)
|
.993
|
-1)*100
|
Nevada |
-.043%=
|
((1+.007)
|
.993
|
-1)*100
|
New Hampshire |
.283%=
|
((1+.004)
|
.999
|
-1)*100
|
New Jersey |
1.505%=
|
((1+.018)
|
.998
|
-1)*100
|
New Mexico |
.717%=
|
((1+.015)
|
.992
|
-1)*100
|
New York |
.659%=
|
((1+.012)
|
.996
|
-1)*100
|
North Carolina |
1.006%=
|
((1+.020)
|
.990
|
-1)*100
|
North Dakota |
12.432%=
|
((1+.140)
|
.986
|
-1)*100
|
Ohio |
.489%=
|
((1+.006)
|
.999
|
-1)*100
|
Oklahoma |
1.183%=
|
((1+.020)
|
.992
|
-1)*100
|
Oregon |
-.113%=
|
((1+.008)
|
.991
|
-1)*100
|
Pennsylvania |
1.504%=
|
((1+.017)
|
.998
|
-1)*100
|
Rhode Island |
1.605%=
|
((1+.015)
|
1.001
|
-1)*100
|
South Carolina |
1.085%=
|
((1+.020)
|
.991
|
-1)*100
|
South Dakota |
1.889%=
|
((1+.028)
|
.991
|
-1)*100
|
Tennessee |
1.856%=
|
((1+.026)
|
.993
|
-1)*100
|
Texas |
1.471%=
|
((1+.032)
|
.984
|
-1)*100
|
Utah |
-.623%=
|
((1+.009)
|
.985
|
-1)*100
|
Vermont |
.008%=
|
((1+.001)
|
.999
|
-1)*100
|
Virginia |
.702%=
|
((1+.016)
|
.991
|
-1)*100
|
Washington |
.088%=
|
((1+.014)
|
.987
|
-1)*100
|
West Virginia |
1.905%=
|
((1+.012)
|
.999
|
-1)*100
|
Wisconsin |
2.524%=
|
((1+.029)
|
.996
|
-1)*100
|
Wyoming |
1.521%=
|
((1+.022)
|
.994
|
-1)*100
|
USA |
.497%=
|
((1+.012)
|
.993
|
-1)*100
|