RE: [CTPP] 2004 ACS Data Release

Dear Mr. Lin- I disagree with you about census long form vs. ACS. I cannot use the ACS for any transportation planning analysis except maybe to see where general trends are going. Even there, looking at NJ data by county, there are some weird changes in mode data even from year to year. I use the 2000 Census data almost every week, and the ACS, unless it can get down to a smaller geography, does not do much good. Unless you are doing some high level comparisons about average travel time or average mode split etc., it cannot be used for what most transportation planners need, such as trip distribution, mode split, auto occupancy, vehicle ownership etc. If there is no long form, then we will have to take what we can from the ACS and combine it with other data, surveys etc. -----Original Message----- From: ctpp-news-bounces(a)chrispy.net [mailto:ctpp-news-bounces@chrispy.net] On Behalf Of Richard Lin Sent: Friday, September 16, 2005 7:48 PM To: ctpp-news(a)chrispy.net; tzakaria(a)dvrpc.org; Elaine.Murakami(a)fhwa.dot.gov Subject: RE: [CTPP] 2004 ACS Data Release Dear All, We all realize the limitations and quality of the ACS data. Also, we all are seeking better resolutions. First of all, we hope the Census Bureau gets enough funding to carrying out ACS operations and to improving the quality of data by accumulating greater samples. Hope by Census 2010, the quality of the ACS data is equal to or even better than that of the traditional long form. Without annual ACS survey, we will fall back again to the once a 10-year long form data availability. Will you prefer still using the Census 2000 Long Form data in 2005 or do you appreciate the limited 2000-2004 ACS data? Without the annual ACS data, we will go back to the dark again. The good news is that if the Census Bureau gets funding to continue ACS survey through Census 2010 then we should have much more reliable and larger sample ACS data for better quality time series. With the sampling error variation, we should be more cautious about time series fluctuations and verify the true changes in numbers such as the Jew Jersey's Mercer County having lesser workers riding bikes or walk to work (5,450 or 3.5 in Census 2000 comparing to 2,924 or 1.9 in ACS 2004). We should also be cautious when we compare apple to orange. We may check the data at state (NJ) level by comparing the state's Census 2000 numbers and ACS 2000 numbers to establish a ratio factor for county adjustment for time series comparison. PM >>> Dear Zak, Thank you for providing your opinion on the disutility of the ACS 2004 data for your applications, and I am glad that others are examining data for their area and are sharing their findings with the listserv. My earlier email was sent to CAUTION people who might try to compare 2000 decennial data to ACS 2004 data. As I said in my earlier email, it is probably better to compare ACS results to ACS results, than to compare ACS results to decennial census results, however, results from ACS from 2000 are very limited. The geographic coverage of County level data from the ACS in 2000 is sparse, which makes comparisons for ACS between 2000 and 2004 possible only in some areas. The ACS did not go into "full implementation" until 2005, and it will require multiple years of data collection before data for small areas will be reliable because of the small samples collected each month and averaged over time. As Tom Marchwinski pointed out, averaging over multiple years creates other problems. In 2005, the CB begin differential non-response follow-up, so that in areas (tracts) with low mail-back responses, there is a greater rate (1:2 and 2:5 instead of 1:3) made to follow-up non-respondents from the mail-back and CATI portion of the ACS. Not surprisingly, the areas with low mail-back responses are more likely to be low income, and higher shares of African American and Hispanic populations. My guess is that this will cause a shift in numbers between 2004 and 2005, and could impact variables such as carpooling and transit use and number of vehicles in households. The Census Bureau recommends that the ACS should be used to describe characteristics, and not to use it for COUNTS. When I examine the Mercer County NJ data comparing Census 2000 (workers in households) to ACS 2004 (workers in hhlds), I find that about the only thing to say is that "driving alone" appears to increase from 77 to 78%, and "carpooling" to decrease from 11 to 10%, "rail" also appears to increase from 4 to nearly 6%. (Worked at Home is not included in column in the table below). HOWEVER, this is not taking into account the effects of the different survey methods, where, generally speaking, the decennial census has a greater share reporting "carpooling," which is why a BRIDGE from decennial 2000 data is so important. Thus, it is probably incorrect to say that carpooling is declining. Mercer County, NJ Workers in Hhlds Census 2000 ACS 2004 Number Pct Number Pct Total 153,665 153,041 Drove alone 118,390 77.0 119,597 78.1 2-person CP 13,105 8.5 12,026 7.9 3+ person CP 4,580 3.0 2,722 1.8 Bus/trolley bus 4,585 3.0 4,390 2.9 Streetcar/trolleycar+ 195 0.1 1,168 0.8 Railroad or ferry 6,105 4.0 8,795 5.7 Bike or Walk* 5,450 3.5 2,924 1.9 Taxi/motorcycle/other 1,255 0.8 1,419 0.9 * 2000 is walk + bike, 2004 is walk only The county estimates program which is used to weight the ACS data is drawing considerable fire, as evidenced by the post by Jeffrey P. Levin from the City of Oakland. Things for State DOTs and MPOs to consider if you feel that the ACS will not provide you with quality data: 1. Can your organization leverage enough political resources to bring back a Census "long form" ? 2. Would improvements to the county estimates program make you feel more comfortable with the ACS results? 3. Should your organization consider conducting a very large sample survey, similar to the surveys conducted in the 1950's and 1960's where sample sizes of 3 - 5 % of all households were asked to completed a travel diary? One of the goals of these surveys was to produce an O/D matrix for a limited number of zones. An area with 1 million population might have 400,000 households, therefore a 4% sample would be 16,000 households. Let's estimate the cost of a household survey at a conservative $150 per complete, resulting in a estimate of $2.4 million. Keep in mind that the response rates to recent regional household travel surveys have been between 25-30%, which is much lower than the ACS, thus, risking much higher sample bias. Once you get the results, you will need to determine a method to weight your results for regional totals. 4. Should your organization implement a survey on group quarters population, or do you believe that the ACS will include group quarters in 2006, as planned. 5. Should you find an alternative data source for home-to-work flows. Sorry for the long post, and hope that my table comes over without distortion. Elaine FHWA Office of Planning -----Original Message----- From: ctpp-news-bounces(a)chrispy.net [mailto:ctpp-news-bounces@chrispy.net]On Behalf Of Thabet Zakaria Sent: Tuesday, September 13, 2005 6:54 AM To: ctpp-news(a)chrispy.net Subject: [CTPP] 2004 ACS Data Release 2004 ACS Data Release by Thabet Zakaria dated September 12, 2005 is resubmitted in PDF. _______________________________________________ ctpp-news mailing list ctpp-news(a)chrispy.net http://www.chrispy.net/mailman/listinfo/ctpp-news - Richard Lin, Ph.D. Demographer Colorado Division of Local Government (303)866-4989, fax (303)866-2660 richard.lin(a)state.co.us _______________________________________________ ctpp-news mailing list ctpp-news(a)chrispy.net http://www.chrispy.net/mailman/listinfo/ctpp-news