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Water availability ranking
for 225 urban areas in the United States
For method details, see
Padowski, J. C., and J. W. Jawitz, 2012. Water availability and vulnerability of 225 large cities in the
United States, Water Resources Research, 48, W12529, doi:10.1029/2012WR012335.
Urban areas of population greater than 100,000 are ranked by fresh
water availability based on liters per person per day. Absolute water
availabilities have been normalized by scaling to the maximum value in the set.
Vulnerability accounts for both mean water availability and variability about
the mean (for example, drought frequency).
This
method incorporates not
only renewable water flows, but also the extracted, imported, and stored water
that urban systems access through constructed infrastructure. These constructed
sources represent important components of urban water supply, yet are typically
excluded from water scarcity assessments. In this analysis, water availability
is measured as the sum of the mean annual volume of water available to cities from
both naturally-occurring and constructed sources. Natural availability is also constrained here by environmental limits on withdrawals. Urban water vulnerability is
expressed as the susceptibility of those urban supplies under low-flow
(drought-like) conditions.
High-ranking cities tend to be adjacent to very large lakes, such as the Great Lakes, and large rivers, such as the Mississippi or Columbia. For example, the highest-availability city (Duluth, MN) is the only US city on Lake Superior, the third-largest freshwater body in the world (by volume). The other Great Lakes have smaller volumes and are shared by more (and larger) cities. Low-ranking cities are often found in arid regions (for example Los Angeles and Las Vegas), have low storage per capita (for example Miami and Atlanta) or share sources with multiple other cities (for example Chicago and Tallahassee). This national, cross-cutting assessment required several assumptions for cases where limited data regarding source characterization or allocation exist (for example cities sharing the Great Lakes or large aquifers). Therefore, the current vulnerability assessments for an individual city should be considered in the context of the data available for each city. Population data in the table below are from the 2000 US Census.
|
Rank |
Urban Area |
Normalized availability |
Vulnerability |
Population |
|
1 |
Duluth, MN--WI |
100.0 |
Low |
118,265 |
|
2 |
Evansville, IN--KY |
71.9 |
Low |
211,989 |
|
3 |
Baton Rouge, LA |
63.5 |
Low |
479,019 |
|
4 |
Kennewick--Richland, WA |
45.3 |
Low |
153,851 |
|
5 |
Huntington, WV--KY--OH |
44.9 |
Low |
177,550 |
|
6 |
Fort Smith, AR--OK |
34.2 |
Low |
106,470 |
|
7 |
Memphis, TN--MS--AR |
33.5 |
Low |
972,091 |
|
8 |
New Orleans, LA |
30.1 |
Low |
1,009,283 |
|
9 |
Clarksville, TN--KY |
21.5 |
Low |
121,775 |
|
10 |
Aberdeen--Havre de Grace--Bel Air, MD |
21.1 |
Low |
174,598 |
|
11 |
York, PA |
18.1 |
Low |
192,903 |
|
12 |
Fairfield, CA |
15.2 |
Low |
112,446 |
|
13 |
Sioux City, IA--NE--SD |
14.5 |
Low |
106,119 |
|
14 |
Saginaw, MI |
13.5 |
Low |
140,985 |
|
15 |
Louisville, KY--IN |
13.1 |
Low |
863,582 |
|
16 |
Little Rock, AR |
12.7 |
Low |
360,331 |
|
17 |
Huntsville, AL |
12.3 |
Low |
213,253 |
|
18 |
Davenport, IA--IL |
11.9 |
Low |
270,626 |
|
19 |
Salem, OR |
11.4 |
Low |
207,229 |
|
20 |
Lancaster, PA |
10.8 |
Low |
323,554 |
|
21 |
Vallejo, CA |
10.7 |
Low |
158,967 |
|
22 |
Mobile, AL |
10.0 |
Low |
317,605 |
|
23 |
Montgomery, AL |
10.0 |
Low |
196,892 |
|
24 |
Tuscaloosa, AL |
9.50 |
Low |
116,888 |
|
25 |
Poughkeepsie--Newburgh, NY |
9.28 |
Low |
351,982 |
|
26 |
Harrisburg, PA |
8.99 |
Low |
362,782 |
|
27 |
Frederick, MD |
7.75 |
Low |
119,144 |
|
28 |
Cincinnati, OH--KY--IN |
6.95 |
Low |
1,503,262 |
|
29 |
Chattanooga, TN--GA |
6.93 |
Low |
343,509 |
|
30 |
Portland, OR--WA |
6.67 |
Low |
1,583,138 |
|
31 |
Flint, MI |
6.45 |
Low |
365,096 |
|
32 |
Marysville, WA |
6.33 |
Low |
114,372 |
|
33 |
Charleston, WV |
6.26 |
Low |
182,991 |
|
34 |
St. Louis, MO--IL |
5.94 |
Low |
2,077,662 |
|
35 |
Muskegon, MI |
5.89 |
Medium |
154,729 |
|
36 |
Redding, CA |
5.88 |
Low |
105,267 |
|
37 |
Billings, MT |
5.65 |
Low |
100,317 |
|
38 |
Myrtle Beach, SC |
5.46 |
Low |
122,984 |
|
39 |
Kenosha, WI |
5.43 |
Medium |
110,942 |
|
40 |
Hagerstown, MD--WV--PA |
5.11 |
Low |
120,326 |
|
41 |
Lafayette, IN |
5.09 |
Low |
125,738 |
|
42 |
Green Bay, WI |
4.94 |
Medium |
187,316 |
|
43 |
Beaumont, TX |
4.75 |
Low |
139,304 |
|
44 |
Racine, WI |
4.65 |
Medium |
129,545 |
|
45 |
College Station--Bryan, TX |
4.52 |
Low |
132,500 |
|
46 |
Jackson, MS |
4.30 |
Low |
292,637 |
|
47 |
Topeka, KS |
4.07 |
Low |
142,411 |
|
48 |
Binghamton, NY--PA |
4.00 |
Low |
158,884 |
|
49 |
Eugene, OR |
3.90 |
Low |
224,049 |
|
50 |
Concord, NC |
3.70 |
Low |
115,057 |
|
51 |
Scranton, PA |
3.63 |
Low |
385,237 |
|
52 |
Trenton, NJ |
3.61 |
Low |
268,472 |
|
53 |
Springfield, MO |
3.50 |
Low |
215,004 |
|
54 |
Manchester, NH |
3.27 |
Low |
143,549 |
|
55 |
Savannah, GA |
3.15 |
Low |
208,886 |
|
56 |
Fort Collins, CO |
3.10 |
Low |
206,633 |
|
57 |
New Haven, CT |
3.02 |
Low |
531,314 |
|
58 |
Waterloo, IA |
2.98 |
Low |
108,298 |
|
59 |
Round Lake Beach--McHenry--Grayslake, IL--WI |
2.94 |
Medium |
226,848 |
|
60 |
Omaha, NE--IA |
2.90 |
Low |
626,623 |
|
61 |
Hickory, NC |
2.72 |
Low |
187,808 |
|
62 |
Deltona, FL |
2.65 |
Low |
147,713 |
|
63 |
Yakima, WA |
2.55 |
Low |
112,816 |
|
64 |
Boulder, CO |
2.54 |
Low |
112,299 |
|
65 |
North Port--Punta Gorda, FL |
2.36 |
Low |
122,421 |
|
66 |
Columbus, GA--AL |
2.36 |
Low |
242,324 |
|
67 |
Cedar Rapids, IA |
2.32 |
Low |
155,334 |
|
68 |
Antioch, CA |
2.21 |
Low |
217,591 |
|
69 |
Lake Charles, LA |
2.18 |
Low |
132,977 |
|
70 |
Nashville-Davidson, TN |
2.15 |
Low |
749,935 |
|
71 |
Knoxville, TN |
2.14 |
Low |
419,830 |
|
72 |
Albany, NY |
2.07 |
Low |
558,947 |
|
73 |
Springfield, MA--CT |
2.07 |
Low |
573,610 |
|
74 |
Odessa, TX |
2.06 |
Medium |
111,395 |
|
75 |
Hartford, CT |
2.06 |
Low |
851,535 |
|
76 |
Boise City, ID |
2.04 |
Medium |
272,625 |
|
77 |
Syracuse, NY |
2.03 |
Low |
402,267 |
|
78 |
Brownsville, TX |
1.98 |
Medium |
165,776 |
|
79 |
Murfreesboro, TN |
1.96 |
Medium |
135,855 |
|
80 |
Pensacola, FL--AL |
1.91 |
Low |
323,783 |
|
81 |
Fort Walton Beach, FL |
1.91 |
Low |
152,741 |
|
82 |
Spokane, WA--ID |
1.90 |
Low |
334,858 |
|
83 |
Ocala, FL |
1.89 |
Low |
106,542 |
|
84 |
Augusta-Richmond County, GA--SC |
1.84 |
Low |
335,630 |
|
85 |
Springfield, IL |
1.79 |
Medium |
153,516 |
|
86 |
Appleton, WI |
1.77 |
Low |
187,683 |
|
87 |
Pittsburgh, PA |
1.76 |
Low |
1,753,136 |
|
88 |
Fayetteville, NC |
1.74 |
Low |
276,368 |
|
89 |
Las Vegas, NV |
1.74 |
Low |
1,314,357 |
|
90 |
Danbury, CT--NY |
1.72 |
Low |
154,455 |
|
91 |
Grand Rapids, MI |
1.67 |
Medium |
539,080 |
|
92 |
Medford, OR |
1.63 |
Low |
128,780 |
|
93 |
Tulsa, OK |
1.58 |
Low |
558,329 |
|
94 |
Des Moines, IA |
1.53 |
Low |
370,505 |
|
95 |
Modesto, CA |
1.52 |
Low |
310,945 |
|
96 |
Jacksonville, FL |
1.45 |
Medium |
882,295 |
|
97 |
Vero Beach--Sebastian, FL |
1.42 |
Low |
120,962 |
|
98 |
Rockford, IL |
1.37 |
Low |
270,414 |
|
99 |
Burlington, VT |
1.36 |
Low |
105,365 |
|
100 |
Toledo, OH--MI |
1.33 |
Low |
503,008 |
|
101 |
Allentown--Bethlehem, PA--NJ |
1.32 |
Low |
576,408 |
|
102 |
Waterbury, CT |
1.31 |
Low |
189,026 |
|
103 |
Winter Haven, FL |
1.29 |
Low |
153,924 |
|
104 |
Harlingen, TX |
1.25 |
Low |
110,770 |
|
105 |
Tallahassee, FL |
1.22 |
Medium |
204,260 |
|
106 |
Cape Coral, FL |
1.22 |
Medium |
329,757 |
|
107 |
Merced, CA |
1.18 |
Low |
110,483 |
|
108 |
Greensboro, NC |
1.14 |
Low |
267,884 |
|
109 |
Rochester, NY |
1.07 |
Low |
694,396 |
|
110 |
Gainesville, FL |
1.07 |
Medium |
159,508 |
|
111 |
Sacramento, CA |
1.05 |
Low |
1,393,498 |
|
112 |
Johnson City, TN |
1.05 |
Low |
102,456 |
|
113 |
Birmingham, AL |
1.01 |
Medium |
663,615 |
|
114 |
Port St. Lucie, FL |
0.99 |
Medium |
270,774 |
|
115 |
Lakeland, FL |
0.99 |
Medium |
199,487 |
|
116 |
Kissimmee, FL |
0.96 |
Low |
186,667 |
|
117 |
Boston, MA--NH--RI |
0.91 |
Low |
4,032,484 |
|
118 |
Denton--Lewisville, TX |
0.91 |
Medium |
299,823 |
|
119 |
Charlotte, NC--SC |
0.90 |
Low |
758,927 |
|
120 |
Fayetteville--Springdale, AR |
0.87 |
Medium |
172,585 |
|
121 |
Abilene, TX |
0.85 |
Medium |
107,041 |
|
122 |
Richmond, VA |
0.84 |
Low |
818,836 |
|
123 |
Asheville, NC |
0.79 |
Low |
221,570 |
|
124 |
Spartanburg, SC |
0.79 |
Low |
145,058 |
|
125 |
Palm Bay--Melbourne, FL |
0.79 |
Low |
393,289 |
|
126 |
Reading, PA |
0.78 |
Low |
240,264 |
|
127 |
Bonita Springs--Naples, FL |
0.78 |
Low |
221,251 |
|
128 |
Laredo, TX |
0.78 |
Low |
175,586 |
|
129 |
Olympia--Lacey, WA |
0.73 |
Low |
143,826 |
|
130 |
Wilmington, NC |
0.72 |
Low |
161,149 |
|
131 |
Stockton, CA |
0.72 |
Low |
313,392 |
|
132 |
Reno, NV |
0.71 |
Low |
303,689 |
|
133 |
Utica, NY |
0.70 |
Low |
113,409 |
|
134 |
Pueblo, CO |
0.70 |
Low |
123,351 |
|
135 |
New Bedford, MA |
0.69 |
Medium |
146,730 |
|
136 |
Daytona Beach--Port Orange, FL |
0.68 |
Low |
255,353 |
|
137 |
Winston-Salem, NC |
0.63 |
Low |
299,290 |
|
138 |
Madison, WI |
0.62 |
Low |
329,533 |
|
139 |
Hemet, CA |
0.60 |
Low |
117,200 |
|
140 |
Detroit, MI |
0.60 |
Low |
3,903,377 |
|
141 |
Santa Rosa, CA |
0.59 |
Medium |
285,408 |
|
142 |
Lorain--Elyria, OH |
0.58 |
Medium |
193,586 |
|
143 |
Buffalo, NY |
0.58 |
Medium |
976,703 |
|
144 |
Bridgeport--Stamford, CT--NY |
0.55 |
Medium |
888,890 |
|
145 |
Fargo, ND--MN |
0.55 |
Medium |
142,477 |
|
146 |
Fresno, CA |
0.54 |
Medium |
554,923 |
|
147 |
Tyler, TX |
0.54 |
Medium |
101,494 |
|
148 |
Gastonia, NC |
0.52 |
Low |
141,407 |
|
149 |
Sarasota--Bradenton, FL |
0.52 |
Medium |
559,229 |
|
150 |
Milwaukee, WI |
0.52 |
Medium |
1,308,913 |
|
151 |
Corpus Christi, TX |
0.51 |
Medium |
293,925 |
|
152 |
Houston, TX |
0.49 |
Low |
3,822,509 |
|
153 |
Amarillo, TX |
0.49 |
Low |
179,312 |
|
154 |
Greenville, SC |
0.49 |
Low |
302,194 |
|
155 |
Seaside--Monterey--Marina, CA |
0.47 |
Medium |
125,503 |
|
156 |
Roanoke, VA |
0.47 |
Low |
197,442 |
|
157 |
Minneapolis--St. Paul, MN |
0.45 |
Low |
2,388,593 |
|
158 |
Simi Valley, CA |
0.44 |
Low |
112,345 |
|
159 |
Lubbock, TX |
0.43 |
Low |
202,225 |
|
160 |
South Lyon--Howell--Brighton, MI |
0.41 |
Low |
106,139 |
|
161 |
Athens-Clarke County, GA |
0.40 |
Low |
106,482 |
|
162 |
Santa Maria, CA |
0.39 |
Low |
120,297 |
|
163 |
Denver--Aurora, CO |
0.39 |
Medium |
1,984,887 |
|
164 |
High Point, NC |
0.38 |
Low |
132,844 |
|
165 |
Atlanta, GA |
0.37 |
Medium |
3,499,840 |
|
166 |
Thousand Oaks, CA |
0.35 |
Low |
210,990 |
|
167 |
Erie, PA |
0.35 |
Medium |
194,804 |
|
168 |
Gulfport--Biloxi, MS |
0.34 |
Medium |
205,754 |
|
169 |
Dayton, OH |
0.34 |
Low |
703,444 |
|
170 |
Salinas, CA |
0.33 |
Medium |
179,173 |
|
171 |
Lansing, MI |
0.33 |
Low |
300,032 |
|
172 |
Raleigh, NC |
0.33 |
Medium |
541,527 |
|
173 |
Bakersfield, CA |
0.32 |
Medium |
396,125 |
|
174 |
Visalia, CA |
0.32 |
Medium |
120,044 |
|
175 |
Santa Barbara, CA |
0.30 |
Low |
196,263 |
|
176 |
Killeen, TX |
0.30 |
Medium |
167,976 |
|
177 |
Providence, RI--MA |
0.30 |
Low |
1,174,548 |
|
178 |
Santa Clarita, CA |
0.29 |
Low |
170,481 |
|
179 |
Austin, TX |
0.28 |
Medium |
901,920 |
|
180 |
Seattle, WA |
0.27 |
Low |
2,712,205 |
|
181 |
Indio--Cathedral City--Palm Springs, CA |
0.27 |
Low |
254,856 |
|
182 |
McAllen, TX |
0.27 |
Low |
523,144 |
|
183 |
Wichita, KS |
0.27 |
Medium |
422,301 |
|
184 |
Champaign, IL |
0.27 |
Medium |
123,938 |
|
185 |
Oklahoma City, OK |
0.26 |
Low |
747,003 |
|
186 |
Orlando, FL |
0.26 |
Medium |
1,157,431 |
|
187 |
Baltimore, MD |
0.26 |
Medium |
2,076,354 |
|
188 |
Canton, OH |
0.26 |
Low |
266,595 |
|
189 |
Indianapolis, IN |
0.25 |
Medium |
1,218,919 |
|
190 |
Victorville--Hesperia--Apple Valley, CA |
0.25 |
Low |
200,436 |
|
191 |
Washington, DC--VA--MD |
0.23 |
Low |
3,933,920 |
|
192 |
Columbus, OH |
0.22 |
Low |
1,133,193 |
|
193 |
Youngstown, OH--PA |
0.21 |
Low |
417,437 |
|
194 |
Ogden--Layton, UT |
0.21 |
Medium |
417,933 |
|
195 |
Lafayette, LA |
0.21 |
Low |
178,079 |
|
196 |
Virginia Beach, VA |
0.21 |
Low |
1,394,439 |
|
197 |
Albuquerque, NM |
0.21 |
Medium |
598,191 |
|
198 |
Panama City, FL |
0.20 |
Low |
132,419 |
|
199 |
Temecula--Murrieta, CA |
0.20 |
Low |
229,810 |
|
200 |
Philadelphia, PA--NJ--DE--MD |
0.19 |
Low |
5,149,079 |
|
201 |
Dallas--Fort Worth--Arlington, TX |
0.18 |
Medium |
4,145,659 |
|
202 |
Phoenix--Mesa, AZ |
0.18 |
Medium |
2,907,049 |
|
203 |
Colorado Springs, CO |
0.18 |
Medium |
466,122 |
|
204 |
Akron, OH |
0.18 |
Low |
570,215 |
|
205 |
New York--Newark, NY--NJ--CT |
0.17 |
Medium |
17,799,861 |
|
206 |
Tampa--St. Petersburg, FL |
0.17 |
Medium |
2,062,339 |
|
207 |
Lancaster--Palmdale, CA |
0.16 |
Low |
263,532 |
|
208 |
Oxnard, CA |
0.15 |
Medium |
337,591 |
|
209 |
Ann Arbor, MI |
0.14 |
Low |
283,904 |
|
210 |
Tucson, AZ |
0.13 |
Medium |
720,425 |
|
211 |
Chicago, IL--IN |
0.12 |
Medium |
8,307,904 |
|
212 |
Concord, CA |
0.12 |
Medium |
552,624 |
|
213 |
Charleston--North Charleston, SC |
0.12 |
Medium |
423,410 |
|
214 |
Las Cruces, NM |
0.12 |
Medium |
104,186 |
|
215 |
Cleveland, OH |
0.10 |
Medium |
1,786,647 |
|
216 |
El Paso, TX--NM |
0.07 |
High |
674,801 |
|
217 |
Mission Viejo, CA |
0.06 |
High |
533,015 |
|
218 |
Riverside--San Bernardino, CA |
0.06 |
High |
1,506,816 |
|
219 |
Salt Lake City, UT |
0.05 |
High |
887,650 |
|
220 |
Los Angeles--Long Beach--Santa Ana, CA |
0.05 |
High |
11,789,487 |
|
221 |
San Diego, CA |
0.05 |
High |
2,674,436 |
|
222 |
San Jose, CA |
0.04 |
High |
1,538,312 |
|
223 |
Lincoln, NE |
0.04 |
High |
226,582 |
|
224 |
Miami, FL |
0.04 |
High |
4,919,036 |
|
225 |
San Antonio, TX |
0.04 |
High |
1,327,554 |
|
Environmental Hydrology Lab | Soil & Water Science | Hydrologic Sciences |
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