Go to Main Menu
Go to Power Search
Go to Datafile Subjects

Datafile Name: SMSA
Datafile Subjects: Environment
Story Names: Air Pollution and Mortality
Reference: U.S. Department of Labor Statistics
Authorization: free use
Description: Properties of 60 Standard Metropolitan Statistical Areas (a standard Census Bureau designation of the region around a city) in the United States, collected from a variety of sources.

The data include information on the social and economic conditions in these areas, on their climate, and some indices of air pollution potentials.

Number of cases: 60
Variable Names:
  1. city: City name
  2. JanTemp: Mean January temperature (degrees Farenheit)
  3. JulyTemp: Mean July temperature (degrees Farenheit)
  4. RelHum: Relative Humidity
  5. Rain: Annual rainfall (inches)
  6. Mortality: Age adjusted mortality
  7. Education: Median education
  8. PopDensity: Population density
  9. %NonWhite: Percentage of non whites
  10. %WC: Percentage of white collar workers
  11. pop: Population
  12. pop/house: Population per household
  13. income: Median income
  14. HCPot: HC pollution potential
  15. NOxPot: Nitrous Oxide pollution potential
  16. SO2Pot: Sulfur Dioxide pollution potential
  17. NOx: Nitrous Oxide
The Data:
city	JanTemp	JulyTemp	RelHum	Rain	Mortality	Education	PopDensity	%NonWhite	%WC	pop	pop/house	income	HCPot	NOxPot	S02Pot	NOx
Akron, OH	27	71	59	36	921.87	11.4	3243	8.8	42.6	660328	3.34	29560	21	15	59	15
Albany-Schenectady-Troy, NY	23	72	57	35	997.87	11.0	4281	3.5	50.7	835880	3.14	31458	8	10	39	10
Allentown, Bethlehem, PA-NJ	29	74	54	44	962.35	9.8	4260	0.8	39.4	635481	3.21	31856	6	6	33	6
Atlanta, GA	45	79	56	47	982.29	11.1	3125	27.1	50.2	2138231	3.41	32452	18	8	24	8
Baltimore, MD	35	77	55	43	1071.29	9.6	6441	24.4	43.7	2199531	3.44	32368	43	38	206	38
Birmingham, AL	45	80	54	53	1030.38	10.2	3325	38.5	43.1	883946	3.45	27835	30	32	72	32
Boston, MA	30	74	56	43	934.70	12.1	4679	3.5	49.2	2805911	3.23	36644	21	32	62	32
Bridgeport-Milford, CT	30	73	56	45	899.53	10.6	2140	5.3	40.4	438557	3.29	47258	6	4	4	4
Buffalo, NY	24	70	61	36	1001.90	10.5	6582	8.1	42.5	1015472	3.31	31248	18	12	37	12
Canton, OH	27	72	59	36	912.35	10.7	4213	6.7	41.0	404421	3.36	29089	12	7	20	7
Chattanooga, TN-GA	42	79	56	52	1017.61	9.6	2302	22.2	41.3	426540	3.39	25782	18	8	27	8
Chicago, IL	26	76	58	33	1024.89	10.9	6122	16.3	44.9	606387	3.20	36593	88	63	278	63
Cincinnati, OH-KY-IN	34	77	57	40	970.47	10.2	4101	13.0	45.7	1401491	3.21	31427	26	26	146	26
Cleveland, OH	28	71	60	35	985.95	11.1	3042	14.7	44.6	1898825	3.29	35720	31	21	64	21
Columbus, OH	31	75	58	37	958.84	11.9	4259	13.1	49.6	124833	3.26	29761	23	9	15	9
Dallas, TX	46	85	54	35	860.10	11.8	1441	14.8	51.2	1957378	3.22	38769	1	1	1	1
Dayton-Springfield, OH	30	75	58	36	936.23	11.4	4029	12.4	44.0	942083	3.35	30232	6	4	16	4
Denver, CO	30	73	38	15	871.77	12.2	4824	4.7	53.1	1428836	3.15	39099	17	8	28	8
Detroit, MI	27	74	59	31	959.22	10.8	4834	15.8	43.5	4488072	3.44	33858	52	35	124	35
Flint, MI	24	72	61	30	941.18	10.8	3694	13.1	33.8	450449	3.53	32000	11	4	11	4
Fort Worth, TX	45	85	53	31	891.71	11.4	1844	11.5	48.1		3.22		1	1	1	1
Grand Rapids, MI	24	72	61	31	871.34	10.9	3226	5.1	45.2	601680	3.37	29915	5	3	10	3
Greensboro-Winston-Salem-High Point, NC	40	77	53	42	971.12	10.4	2269	22.7	41.4	851851	3.45	29450	8	3	5	3
Hartford, CT	27	72	56	43	887.47	11.5	2909	7.2	51.6	715923	3.25	37565	7	3	10	3
Houston, TX	55	84	59	46	952.53	11.4	2647	21.0	46.9	2735766	3.35	39558	6	5	1	5
Indianapolis, IN	29	75	60	39	968.67	11.4	4412	15.6	46.6	1166575	3.23	31461	13	7	33	7
Kansas City, MO	31	81	55	35	919.73	12.0	3262	12.6	48.6	914427	3.10	30783	7	4	4	4
Lancaster, PA	32	74	54	43	844.05	9.5	3214	2.9	43.7	362346	3.38	30248	11	7	32	7
Los Angeles, Long Beach, CA	53	68	47	11	861.26	12.1	4700	7.8	48.9	7477503	2.66	36624	648	319	130	319
Louisville, KY-IN	35	71	57	30	989.26	9.9	4474	13.1	42.6	956756	3.37	29621	38	37	193	37
Memphis, TN-AR-MS	42	82	59	50	1006.49	10.4	3497	36.7	43.3	913472	3.49	27910	15	18	34	18
Miami-Hialeah, FL	67	82	60	60	861.44	11.5	4657	13.5	47.3	1625781	2.65	32808	3	1	1	1
Milwaukee, WI	20	69	64	30	929.15	11.1	2934	5.8	44.0	1397143	3.26	35272	33	23	125	23
Minneapolis-St. Paul, MN-WI	12	73	58	25	857.62	12.1	2095	2.0	51.9	2137133	3.28	35871	20	11	26	11
Nashville, TN	40	80	56	45	961.01	10.1	2682	21.0	46.1	850505	3.32	28641	17	14	78	14
New Haven-Meriden, CT	30	72	58	46	923.23	11.3	3327	8.8	45.3	500474	3.16	34364	4	3	8	3
New Orleans, LA	54	81	62	54	1113.16	9.7	3172	31.4	45.5	1256256	3.36	32704	20	17	1	17
New York, NY	33	77	58	42	994.65	10.7	7462	11.3	48.7	8274961	3.03	36047	41	26	108	26
Philadelphia, PA-NJ	32	76	54	42	1015.02	10.5	6092	17.5	45.3	4716818	3.32	33449	29	32	161	32
Pittsburgh, PA	29	72	56	36	991.29	10.6	3437	8.1	45.5	2218870	3.32	32934	45	59	263	59
Portland, OR	38	67	73	37	893.99	12.0	3387	3.6	50.3	1105699	2.66	33020	56	21	44	21
Providence, RI	29	72	56	42	938.50	10.1	3508	2.2	38.8	618514	3.16	30094	6	4	18	4
Reading, PA	33	77	54	41	946.19	9.6	4843	2.7	38.6	312509	3.08	32449	11	11	89	11
Richmond-Petersburg, VA	39	78	53	44	1025.50	11.0	3768	28.6	49.5	761311	3.32	33510	12	9	48	9
Rochester, NY	25	72	60	32	874.28	11.1	4355	5.0	46.4	971230	3.21	34896	7	4	18	4
St. Louis, MO-IL	32	79	57	34	953.56	9.7	5160	17.2	45.1	1808621	3.23	34546	31	15	68	15
San Diego, CA	55	70	61	10	839.71	12.1	3033	5.9	51.0	1861846	3.11	32586	144	66	20	66
San Francisco, CA	48	63	71	18	911.70	12.2	4253	13.7	51.2	1488871	2.92	47966	311	171	86	171
San Jose, CA	49	68	71	13	790.73	12.2	2702	3.0	51.9	1295071	3.36	41994	105	32	3	32
Seattle, WA	40	64	72	35	899.26	12.2	3626	5.7	54.3	1607469	3.02	37069	20	7	20	7
Springfield, MA	28	74	56	45	904.16	11.1	1883	3.4	41.9	515259	3.21	29327	5	1	20	1
Syracuse, NY	24	72	61	38	950.67	11.4	4923	3.8	50.5	642971	3.34	30114	8	5	25	5
Toledo, OH	26	73	59	31	972.46	10.7	3249	9.5	43.9	616864	3.22	30497	11	7	25	7
Utica-Rome, NY	23	71	60	40	912.20	10.3	1671	2.5	47.4	320180	3.28	27305	5	2	11	2
Washington, DC-MD-VA	37	78	52	42	967.80	12.3	5308	25.9	59.7	3250822	3.25	41888	65	28	102	28
Wichita, KS	32	81	54	28	823.76	12.1	3665	7.5	51.6	411313	3.27	34812	4	2	1	2
Wilmington, DE-NJ-MD	33	76	56	65	1003.50	11.3	3152	12.1	47.3	523221	3.39	33927	14	11	42	11
Worcester, MA	24	70	56	65	895.70	11.1	3678	1.0	44.8	402918	3.25	29374	7	3	8	3
York, PA	33	76	54	62	911.82	9.0	9699	4.8	62.2	381255	3.22	28985	8	8	49	8
Youngstown-Warren, OH	28	72	58	38	954.44	10.7	3451	11.7	37.5	531350	3.48	28960	14	13	39	13