2000, 2007-2009 ACS, Census 2010 and 2010-2012 ACS

Geographic Area: Licking County, Ohio FIPS: 39089

Download an Excel file* of this document: profile_ohio__licking_county.xls.

Table 1a. Mode to Work by Gender
Table 1a. Mode to Work by Gender ¹	Census 2000			2007-2009 ACS			2010-2012 ACS			Is the numeric change between Census 2000 and 2010-2012 ACS Significant? **
Table 1a. Mode to Work by Gender ¹	Number	Percent	MOE(+/-)*	Number	Percent	MOE(+/-)*	Number	Percent	MOE(+/-)*
Male	At Place of Residence
Total Workers	37,800	100.0	677	39,534	100.0	888	40,276	100.0	1,042	Yes
Drove alone	31,635	83.7	637	32,504	82.2	887	32,905	81.7	1,100	No
2-person Carpool	3,180	8.4	226	3,316	8.4	558	2,897	7.2	492	No
3-or-more-person Carpool	715	1.9	108	703	1.8	286	785	1.9	286	No
Transit	120	0.3	44	143	0.4	95	126	0.3	89	No
Bike	105	0.3	41	75	0.2	118	138	0.3	106	No
Walked	700	1.9	107	727	1.8	337	864	2.1	245	No
Taxi, Motorcycle and Other means	325	0.9	73	316	0.8	147	234	0.6	116	No
Worked at Home	1,020	2.7	129	1,750	4.4	345	2,327	5.8	506	Yes

Table 1b. Mode to Work by Gender
Table 1b. Mode to Work by Gender ¹	Census 2000			2007-2009 ACS			2010-2012 ACS			Is the numeric change between Census 2000 and 2010-2012 ACS Significant? **
Table 1b. Mode to Work by Gender ¹	Number	Percent	MOE(+/-)*	Number	Percent	MOE(+/-)*	Number	Percent	MOE(+/-)*
Female	At Place of Residence
Total Workers	33,415	100.0	649	35,059	100.0	964	38,494	100.0	922	Yes
Drove alone	27,815	83.2	607	28,592	81.6	1,080	31,463	81.7	1,073	Yes
2-person Carpool	2,605	7.8	205	2,429	6.9	404	2,876	7.5	517	No
3-or-more-person Carpool	560	1.7	96	556	1.6	222	581	1.5	193	No
Transit	70	0.2	34	135	0.4	84	111	0.3	83	No
Bike	10	0.0	13	78	0.2	105	120	0.3	81	Yes
Walked	860	2.6	118	1,202	3.4	336	1,084	2.8	304	No
Taxi, Motorcycle and Other means	155	0.5	50	371	1.1	184	265	0.7	123	No
Worked at Home	1,335	4.0	147	1,696	4.8	347	1,994	5.2	406	Yes

Notes:

* The coefficient of variation (CV) can be derived by the standard error (SE) divided by the estimate, while SE = MOE/1.645.
** The z-value of the difference of the two estimates are used to determined if the two estimates are significantly different at 90% confidence level.

1 Census 2000 Table 1-002, 2007-2009 ACS Table B08006 and 2010-2012 ACS B08006