Saturday, October 26, 2013
Occupy + Tea Party map
As I continue to play around with the Occupy and Tea Party mapping, here is my first map that joins both movements into one map. The borders are federal congressional House districts as of 2013, and the colors represent how "Tea Party" the candidates are, based on 3 measures: their activism in opposing the Affordable Care Act, their willingness to shut down the government to oppose the ACA, and the representative's FreedomWorks rating (a Tea Party donor group). The redder the district, the more Tea Party candidate activism, while the bluer the district the less the Tea Party candidate activism. The Occupy Protests are marked by dots for each city where there was a registered protest, based on 3 different reporting sites. The size and color of the dot represents the size of the protest. Unlike the previous maps, where I had mapped the OWS protests into congressional districts, I have now used NationalAtlas.gov data to map each individual city. Unlike the Occupy groups, which centralized reporting for protests, Tea Party did no such centralized reporting, plus they had large financial donors supporting busing campaigns to centralized locations. This means that Tea Party "protests" may not be tend to be localized to a city the way that Occupy was, and since the Tea Party's goals were specifically legislative, while OWS goals were cultural, it makes sense to map Tea Party to legislative districts, while keeping Occupy localized.
Thursday, October 24, 2013
Occupy Wall Street Mapping, and Others
In the process of gathering data about the Tea Party, I also collected data about Occupy Wall Street protests in the U.S. For the OWS map below, I used 3 sources, one event per city, and mapped the events by congressional district (2012). The first OWS map is by the number of cities in each district with a registered protest. The second OWS map is by the largest estimated number of protesters per district (all city protests per district summed). Following these two OWS maps, I have several other maps from data that have been collecting, all of which is mapped at the congressional district level. Map 3 is a Partisan Voter Index, similar to that found in the Cook Report, but calculated by a non-Cook-related individual, estimating voter party preference for that district based on the last 2 major elections. Map 4 is Tea Party related, in that it is shows the FreedomWorks rating for each district representative as of 2013 (FreedomWorks is a major Tea Party donor). Finally, map 5 is a political rating score from a researcher at Stanford, Bonica, based on candidate criteria (the CF score).
Table 1-final data, Table 2-original raw data
The city-mapped data by congressional district is estimated. In other words, I could not find a good database that lists U.S. cities by congressional district, so I situated listed cities into districts by a brief Google search. If any of you discovers an error (and there may be several), please let me know.
Occupy Wall Street Sources:
- http://en.wikipedia.org/wiki/List_of_Occupy_movement_protest_locations_in_the_United_States
- http://www.theguardian.com/news/datablog/2011/oct/17/occupy-protests-world-list-map
- Occupy Research Google Docs personal communication
PVI Source:
http://wheresthepartydoc.blogspot.com/2012/12/2012-cook-pvi-calculations.html
Bonica
http://data.stanford.edu/dime/
Original Data for Occupy Posted Below
Occupy Protest Inclusion--Decision Criteria
- Many cities were listed in all three sources, with various amounts of information, or contradictory information
- One event per city
- Most reasonable information (i.e., occupiers listed higher than NYC were rejected)
- Most information
- If a range was given, they were averaged (i.e., 100-200=150)
- If a number of protesters "+" was given, just the number was used (i.e., 40+ = 40)
- If "hundreds" was given, then 200 was used
- Highest population listed
- If there was no reported population, or was less than 5, a value of 5 was used
- If a city was in multilple districts, the total protesters were divided equally into the districts
- No effort was made to independently verify the existence of protests in a given city, or the number of protesters, other than the above criteria
- There may be errors in how I identified cities with congressional districts
Table 1-final data, Table 2-original raw data
Table 1: Final Data used for Mapping
| Dist1 | Protests | Protesters |
| AK01 | 9 | 402 |
| AL01 | 1 | 50 |
| AL02 | 1 | 5 |
| AL03 | 1 | 25 |
| AL05 | 1 | 200 |
| AL06 | 1 | 300 |
| AL07 | 1 | 40 |
| AR01 | 1 | 5 |
| AR02 | 2 | 505 |
| AR03 | 2 | 300 |
| AS01 | 1 | 5 |
| AZ01 | 1 | 5 |
| AZ03 | 1 | 4000 |
| AZ04 | 1 | 25 |
| AZ05 | 1 | 5 |
| AZ07 | 2 | 1005 |
| CA01 | 4 | 360 |
| CA02 | 9 | 565 |
| CA03 | 3 | 120 |
| CA04 | 1 | 150 |
| CA05 | 2 | 300 |
| CA06 | 3 | 3805 |
| CA08 | 2 | 5005 |
| CA09 | 2 | 3200 |
| CA10 | 1 | 250 |
| CA11 | 1 | 24 |
| CA12 | 1 | 100 |
| CA13 | 1 | 5 |
| CA14 | 3 | 158 |
| CA16 | 1 | 300 |
| CA17 | 2 | 205 |
| CA18 | 4 | 305 |
| CA19 | 3 | 155 |
| CA20 | 1 | 3 |
| CA21 | 1 | 5 |
| CA22 | 1 | 185 |
| CA23 | 3 | 410 |
| CA24 | 6 | 595 |
| CA25 | 1 | 5 |
| CA27 | 1 | 5 |
| CA28 | 1 | 5 |
| CA29 | 1 | 100 |
| CA30 | 1 | 5000 |
| CA33 | 2 | 10 |
| CA36 | 2 | 10 |
| CA37 | 1 | 5 |
| CA41 | 2 | 105 |
| CA43 | 1 | 35 |
| CA44 | 2 | 305 |
| CA45 | 1 | 5 |
| CA46 | 3 | 98 |
| CA47 | 2 | 153 |
| CA48 | 1 | 1200 |
| CA50 | 2 | 10 |
| CA53 | 2 | 7000 |
| CO01 | 1 | 3000 |
| CO02 | 1 | 500 |
| CO03 | 4 | 403 |
| CO04 | 3 | 67 |
| CO05 | 1 | 500 |
| CO5 | 1 | 5 |
| CT01 | 1 | 5 |
| CT02 | 1 | 5 |
| CT03 | 2 | 505 |
| CT05 | 1 | 5 |
| DC | 1 | 5000 |
| DE01 | 2 | 155 |
| FL01 | 1 | 500 |
| FL02 | 1 | 300 |
| FL03 | 1 | 500 |
| FL06 | 1 | 100 |
| FL07 | 2 | 205 |
| FL08 | 1 | 3000 |
| FL09 | 1 | 5 |
| FL10 | 1 | 5 |
| FL11 | 2 | 55 |
| FL13 | 2 | 205 |
| FL14 | 2 | 405 |
| FL15 | 3 | 15 |
| FL17 | 1 | 1000 |
| FL18 | 1 | 5 |
| FL19 | 3 | 355 |
| FL21 | 1 | 100 |
| FL22 | 3 | 410 |
| GA01 | 2 | 300 |
| GA02 | 1 | 5 |
| GA05 | 1 | 150 |
| GA08 | 1 | 5 |
| GA10 | 2 | 75 |
| GA14 | 1 | 5 |
| HI01 | 1 | 200 |
| HI02 | 9 | 430 |
| IA01 | 3 | 15 |
| IA02 | 2 | 205 |
| IA03 | 1 | 350 |
| IA04 | 1 | 300 |
| ID01 | 3 | 15 |
| ID02 | 4 | 20 |
| IL01 | 1 | 8000 |
| IL11 | 5 | 150 |
| IL12 | 1 | 100 |
| il14 | 2 | 10 |
| IL15 | 3 | 417 |
| IL16 | 2 | 205 |
| IL17 | 2 | 100 |
| IL18 | 1 | 300 |
| IL19 | 1 | 5 |
| IN01 | 2 | 10 |
| IN02 | 2 | 105 |
| IN03 | 1 | 300 |
| IN04 | 2 | 1050 |
| IN05 | 1 | 5 |
| IN06 | 2 | 25 |
| IN07 | 1 | 1000 |
| IN08 | 1 | 100 |
| IN09 | 1 | 200 |
| KS02 | 4 | 370 |
| KS03 | 1 | 5 |
| KS04 | 1 | 300 |
| KY01 | 1 | 5 |
| KY02 | 2 | 10 |
| KY03 | 1 | 300 |
| KY04 | 1 | 5 |
| KY06 | 2 | 105 |
| LA02 | 1 | 400 |
| LA04 | 1 | 100 |
| LA06 | 1 | 150 |
| LA07 | 2 | 17 |
| MA01 | 4 | 51 |
| MA02 | 3 | 105 |
| MA03 | 2 | 115 |
| MA04 | 1 | 5 |
| MA06 | 3 | 125 |
| MA07 | 1 | 5 |
| MA08 | 2 | 10 |
| MA09 | 4 | 1047 |
| MA10 | 1 | 100 |
| MD02 | 1 | 70 |
| MD03 | 1 | 5 |
| MD06 | 3 | 15 |
| MD07 | 1 | 200 |
| ME01 | 4 | 130 |
| ME02 | 2 | 55 |
| MI01 | 1 | 80 |
| MI02 | 1 | 5 |
| MI03 | 1 | 400 |
| MI05 | 2 | 380 |
| MI06 | 1 | 500 |
| MI07 | 1 | 5 |
| MI08 | 3 | 510 |
| MI13 | 1 | 1000 |
| MI15 | 4 | 215 |
| MN01 | 1 | 150 |
| MN05 | 2 | 4100 |
| MN07 | 4 | 60 |
| MN08 | 1 | 100 |
| MO01 | 1 | 1000 |
| MO05 | 1 | 500 |
| MO06 | 2 | 10 |
| MO07 | 2 | 205 |
| MO08 | 1 | 5 |
| MO09 | 1 | 5 |
| MS02 | 1 | 50 |
| MS04 | 1 | 5 |
| MT01 | 7 | 810 |
| NC02 | 1 | 1200 |
| NC04 | 1 | 100 |
| NC06 | 1 | 1000 |
| NC07 | 2 | 10 |
| NC09 | 1 | 600 |
| NC11 | 3 | 15 |
| NC12 | 1 | 600 |
| ND01 | 4 | 220 |
| NE01 | 1 | 500 |
| NE02 | 1 | 1000 |
| NH01 | 2 | 105 |
| NH02 | 5 | 75 |
| NJ02 | 1 | 150 |
| NJ07 | 1 | 28 |
| NJ08 | 1 | 3 |
| NJ09 | 1 | 3 |
| NJ10 | 2 | 10 |
| NJ12 | 2 | 29 |
| NJ13 | 2 | 30 |
| NM01 | 1 | 500 |
| NM02 | 4 | 75 |
| NM03 | 2 | 1010 |
| NV01 | 1 | 1000 |
| NV02 | 2 | 350 |
| NV04 | 1 | 5 |
| NY01 | 2 | 320 |
| NY07 | 1 | 7500 |
| NY10 | 2 | 7650 |
| NY12 | 1 | 7500 |
| NY13 | 1 | 7500 |
| NY14 | 1 | 5 |
| NY20 | 2 | 10 |
| NY21 | 1 | 5 |
| NY22 | 7 | 620 |
| NY23 | 2 | 10 |
| NY24 | 3 | 505 |
| NY25 | 1 | 200 |
| NY27 | 2 | 205 |
| NY28 | 1 | 5 |
| OH01 | 1 | 1200 |
| OH03 | 1 | 300 |
| OH05 | 3 | 60 |
| OH06 | 1 | 50 |
| OH09 | 1 | 250 |
| OH11 | 1 | 150 |
| OH12 | 1 | 90 |
| OH13 | 3 | 325 |
| OH16 | 1 | 150 |
| OK01 | 2 | 305 |
| OK02 | 1 | 25 |
| OK04 | 1 | 5 |
| OK05 | 2 | 300 |
| OR01 | 2 | 10040 |
| OR02 | 6 | 680 |
| OR04 | 6 | 2115 |
| OR05 | 2 | 328 |
| PA01 | 1 | 5000 |
| PA03 | 1 | 5 |
| PA05 | 2 | 45 |
| PA06 | 1 | 5 |
| PA08 | 1 | 5 |
| PA10 | 1 | 5 |
| PA11 | 2 | 205 |
| PA12 | 1 | 5 |
| PA15 | 3 | 145 |
| PA16 | 1 | 300 |
| PA17 | 3 | 210 |
| PA18 | 1 | 3000 |
| PA19 | 1 | 5 |
| R02 | 1 | 500 |
| RI01 | 1 | 500 |
| SC01 | 2 | 320 |
| SC02 | 1 | 12 |
| SC03 | 1 | 5 |
| SC04 | 3 | 210 |
| SC06 | 2 | 155 |
| SD01 | 4 | 150 |
| TN01 | 1 | 130 |
| TN02 | 1 | 500 |
| TN03 | 1 | 50 |
| TN05 | 1 | 300 |
| TN06 | 1 | 5 |
| TN07 | 2 | 155 |
| TX01 | 1 | 5 |
| TX05 | 1 | 250 |
| TX07 | 1 | 300 |
| TX11 | 1 | 5 |
| TX12 | 1 | 200 |
| TX13 | 1 | 125 |
| TX14 | 1 | 5 |
| TX15 | 1 | 5 |
| TX16 | 1 | 50 |
| TX17 | 2 | 10 |
| TX19 | 2 | 55 |
| TX20 | 1 | 250 |
| TX23 | 1 | 5 |
| TX25 | 1 | 2000 |
| TX26 | 2 | 10 |
| TX27 | 3 | 60 |
| TX31 | 1 | 5 |
| TX35 | 1 | 100 |
| UT01 | 2 | 10 |
| UT02 | 3 | 12 |
| UT03 | 2 | 7 |
| UT04 | 1 | 2 |
| VA01 | 1 | 5 |
| VA02 | 2 | 170 |
| VA03 | 1 | 200 |
| VA05 | 2 | 125 |
| VA06 | 2 | 10 |
| VA07 | 1 | 200 |
| VA08 | 1 | 5 |
| VA09 | 1 | 5 |
| VT01 | 6 | 1455 |
| WA01 | 3 | 15 |
| WA02 | 3 | 755 |
| WA03 | 4 | 910 |
| WA04 | 5 | 455 |
| WA05 | 3 | 2055 |
| WA06 | 3 | 1405 |
| WA07 | 1 | 5000 |
| WA08 | 1 | 5 |
| WA09 | 3 | 15 |
| WA23 | 1 | 5 |
| WI01 | 1 | 20 |
| WI02 | 1 | 200 |
| WI03 | 1 | 120 |
| WI04 | 1 | 1000 |
| WI07 | 1 | 5 |
| WI08 | 2 | 240 |
| WV01 | 4 | 20 |
| WV02 | 3 | 110 |
| WV03 | 2 | 105 |
| WY01 | 3 | 125 |
Table 2: Original Data from 3 sources
Variables:
OrigMaxEst-Original maximum estimate from the largest event in a given city
RevMaxEst-Revised maximum estimate (using 5 for any lower, or missing values)
Dist1 - Dist4: Any congressional district where the listed city appears (may contain significant errors--please let me know when you find them)
ProtMultDist: Protesters per district--reflects having divided the total protesters per city equally into various districts where the city intersects.
| State | Town/city | Date of first event | OrigMaxEst | RevMaxEst | Dist1 | Dist2 | Dist3 | Dist4 | ProtMultDist |
| NY | New York City | Sept. 17, 2011 | 30,000 | 30,000 | NY07 | NY10 | NY12 | NY13 | 7500 |
| AK | Kenai | 5 | AK01 | 5 | |||||
| AK | Bethel | Oct. 15, 2011 | 1 | 5 | AK01 | 5 | |||
| AK | Unalaska | Oct. 16, 2011 | 10 | 10 | AK01 | 10 | |||
| AK | Cordova | 10/16/2011 | 30 | 30 | AK01 | 30 | |||
| AK | Skagway | 10/16/2011 | 30 | 30 | AK01 | 30 | |||
| AK | Juneau | 10/15/2011 | 50 | 50 | AK01 | 50 | |||
| AK | Homer | 10/15/2011 | 67 | 67 | AK01 | 67 | |||
| AK | Anchorage | 8-Oct-11 | 80 | 80 | AK01 | 80 | |||
| AK | Fairbanks | 10/15/2011 | 125 | 125 | AK01 | 125 | |||
| AL | Mobile | Oct. 8, 2011 | 50 | 50 | AL01 | 50 | |||
| AL | Montgomery | Oct. 22, 2011 | 5 | AL02 | 5 | ||||
| AL | Auburn | Oct. 15, 2011 | 25 | 25 | AL03 | 25 | |||
| AL | Huntsville | 7/10/11 | 200 | 200 | AL05 | 200 | |||
| AL | Birmingham | 10/14/2011 | 300 | 300 | AL06 | 300 | |||
| AL | Tuscaloosa | Oct. 8, 2011 | 40 | 40 | AL07 | 40 | |||
| AR | Jonesboro | Oct. 15, 2011 | 5 | AR01 | 5 | ||||
| AR | Conway | Oct. 26, 2011 | 5 | AR02 | 5 | ||||
| AR | Little Rock | 10/15/2011 | 500 | 500 | AR02 | 500 | |||
| AR | Bentonville | 10/19/2011 | 50 | 50 | AR03 | 50 | |||
| AR | Fayetteville | 10/15/2011 | 250 | 250 | AR03 | 250 | |||
| AZ | Sedona | 5 | AS01 | 5 | |||||
| AZ | Flagstaff | Oct. 15, 2011 | 5 | AZ01 | 5 | ||||
| AZ | Phoenix | Oct. 14, 2011 | 4,000 | 4,000 | AZ03 | 4000 | |||
| AZ | Prescott | Oct. 6, 2011 | 25 | 25 | AZ04 | 25 | |||
| AZ | Tempe | Oct. 15, 2011 | 5 | AZ05 | 5 | ||||
| AZ | Yuma | 5 | AZ07 | 5 | |||||
| AZ | Tucson | 10/15/2011 | 1000 | 1,000 | AZ07 | 1000 | |||
| CA | Grass Valley | 10/16/2011 | 5 | CA01 | 5 | ||||
| CA | Nevada City | 5 | CA01 | 5 | |||||
| CA | Mount Shasta | 10/15/2011 | 150 | 150 | CA01 | 150 | |||
| CA | Redding | 10/15/2011 | 200 | 200 | CA01 | 200 | |||
| CA | Eureka | Oct. 13, 2011 | 5 | CA02 | 5 | ||||
| CA | Monte Rio | 5 | CA02 | 5 | |||||
| CA | Petaluma | Oct. 29, 2011 | 5 | CA02 | 5 | ||||
| CA | Sebastopol | 5 | CA02 | 5 | |||||
| CA | Ukiah | 5 | CA02 | 5 | |||||
| CA | Point Reyes Station | 9/10/11 | 40 | 40 | CA02 | 40 | |||
| CA | arcata | 1/10/11 | 100 | 100 | CA02 | 100 | |||
| CA | Chico | 8/10/11 | 200 | 200 | CA02 | 200 | |||
| CA | Humboldt | 1/10/11 | 200 | 200 | CA02 | 200 | |||
| CA | Amador County | 5 | CA03 | 5 | |||||
| CA | Clearlake | 10/15/2011 | 40 | 40 | CA03 | 40 | |||
| CA | Marysville | 10/16/2011 | 75 | 75 | CA03 | 75 | |||
| CA | Auburn | Nov. 17, 2011 | 150 | 150 | CA04 | 150 | |||
| CA | Lakeport | 10/15/2011 | 50 | 50 | CA05 | 50 | |||
| CA | Sacramento | 1/10/11 | 250 | 250 | CA05 | 250 | |||
| CA | San Rafael | 5 | CA06 | 5 | |||||
| CA | Sonoma | 10/14/2011 | 300 | 300 | CA06 | 300 | |||
| CA | santa rosa | oct 15th | 3500 | 3,500 | CA06 | 3500 | |||
| CA | Victorville | 5 | CA08 | 5 | |||||
| CA | San Francisco | 10/13/11 | 5000 | 5,000 | CA08 | 5000 | |||
| CA | Berkeley | 8/10/11 | 200 | 200 | CA09 | 200 | |||
| CA | Oakland | 10/10/11 | 3000 | 3,000 | CA09 | 3000 | |||
| CA | Walnut Creek | 12/10/11 | 250 | 250 | CA10 | 250 | |||
| CA | san ramon | 24 | 24 | CA11 | 24 | ||||
| CA | Santa Cruz | Sep-11 | 100 | 100 | CA12 | 100 | |||
| CA | Alameda | 5 | CA13 | 5 | |||||
| CA | Half Moon Bay | Oct. 4, 2011 | 5 | CA14 | 5 | ||||
| CA | Redwood City | Oct. 28, 2011 | 5 | CA14 | CA18 | 2.5 | |||
| CA | Palo Alto | 12/10/11 | 150 | 150 | CA14 | 150 | |||
| CA | San Jose | 10/16/2011 | 300 | 300 | CA16 | 300 | |||
| CA | Salinas | Oct. 15, 2011 | 5 | CA17 | 5 | ||||
| CA | Monterey | 10/15/2011 | 200 | 200 | CA17 | 200 | |||
| CA | Modesto | 5 | CA18 | CA19 | 2.5 | ||||
| CA | Stockton | 12/10/11 | 100 | 100 | CA18 | 100 | |||
| CA | Merced | 10/15/2011 | 200 | 200 | CA18 | 200 | |||
| CA | Gilroy | 5 | CA19 | CA20 | 2.5 | ||||
| CA | Fresno | 8/10/11 | 150 | 150 | CA19 | 150 | |||
| CA | Visalia | 5 | CA21 | 5 | |||||
| CA | Bakersfield | 10/15/2011 | 185 | 185 | CA22 | 185 | |||
| CA | Oxnard | Oct. 15, 2011 | 5 | CA23 | 5 | ||||
| CA | Santa Maria | Oct. 15, 2011 | 5 | CA23 | 5 | ||||
| CA | Santa Barbara | 6/10/11 | 400 | 400 | CA23 | 400 | |||
| CA | Atascadero | 5 | CA24 | 5 | |||||
| CA | Camarillo | Oct. 5, 2011 | 5 | CA24 | 5 | ||||
| CA | Ojai | 5 | CA24 | 5 | |||||
| CA | Lompoc | 10/15/2011 | 30 | 30 | CA24 | 30 | |||
| CA | Ventura | 10/15-16/11 | 250 | 250 | CA24 | 250 | |||
| CA | San Luis Obispo | 300 | 300 | CA24 | 300 | ||||
| CA | Santa Clarita | 5 | CA25 | 5 | |||||
| CA | San Marino | Oct. 5, 2011 | 5 | CA27 | 5 | ||||
| CA | Van Nuys | Oct. 28, 2011 | 5 | CA28 | 5 | ||||
| CA | Pasadena | 12/10/11 | 100 | 100 | CA29 | 100 | |||
| CA | Los Angeles | 10/15/2011 | 5000 | 5,000 | CA30 | 5000 | |||
| CA | Culver City | 5 | CA33 | 5 | |||||
| CA | Santa Monica College | 5 | CA33 | 5 | |||||
| CA | Coachella Valley | Oct. 11, 2011 | 5 | CA36 | 5 | ||||
| CA | Venice | Oct. 9, 2011 | 5 | CA36 | 5 | ||||
| CA | Torrance | Oct. 15, 2011 | 5 | CA37 | 5 | ||||
| CA | Yucca | 5 | CA41 | 5 | |||||
| CA | Redlands | 8/10/11 | 100 | 100 | CA41 | 100 | |||
| CA | Fontana | 12/10/11 | 35 | 35 | CA43 | 35 | |||
| CA | Riverside | Oct. 15, 2011 | 5 | CA44 | 5 | ||||
| CA | Riverside | 10/15/2011 | 300 | 300 | CA44 | 300 | |||
| CA | Temecula | Oct. 15, 2011 | 5 | CA45 | 5 | ||||
| CA | Huntington Beach | Mar. 9, 2012 | 20 | 20 | CA46 | 20 | |||
| CA | Anaheim | 10/10/11 | 75 | 75 | CA46 | 75 | |||
| CA | Santa Ana | Oct. 22, 2011 | 5 | CA47 | CA46 | 2.5 | |||
| CA | Long Beach | 10/16/2011 | 150 | 150 | CA47 | 150 | |||
| CA | Irvine | Oct. 15, 2011 | 1200 | 1,200 | CA48 | 1200 | |||
| CA | Encinitas | Oct. 15, 2011 | 5 | CA50 | 5 | ||||
| CA | Escondido | Nov. 5, 2011 | 5 | CA50 | 5 | ||||
| CA | San Diego | 7/10/11 | 2000 | 2,000 | CA53 | 2000 | |||
| CA | Davis | 5,000 | 5,000 | CA53 | 5000 | ||||
| CO | Denver | 9/24/2011 | 3000 | 3,000 | CO01 | 3000 | |||
| CO | Boulder | 10/15/2011 | 500 | 500 | CO02 | 500 | |||
| CO | Aspen | 8/10/11 | 53 | 53 | CO03 | 53 | |||
| CO | Durango | 10/14/2011 | 100 | 100 | CO03 | 100 | |||
| CO | Pueblo | October 7th | 100 | 100 | CO03 | 100 | |||
| CO | Grand Junction | 10/15/2011 | 150 | 150 | CO03 | 150 | |||
| CO | Greeley | 5 | CO04 | 5 | |||||
| CO | Longmont | Oct. 10, 2011 | 12 | 12 | CO04 | 12 | |||
| CO | Fort Collins | 10/10/11 | 50 | 50 | CO04 | 50 | |||
| CO | Colorado Springs | 4-Oct-11 | 500 | 500 | CO05 | 500 | |||
| CO | Canon City | 5 | CO5 | 5 | |||||
| CT | Hartford | Oct. 7, 2011 | 5 | CT01 | 5 | ||||
| CT | New London | 5 | CT02 | 5 | |||||
| CT | Branford | Oct. 6, 2011 | 5 | CT03 | 5 | ||||
| CT | New Haven | October 15th, 2011 | 500 | 500 | CT03 | 500 | |||
| CT | Danbury | 5 | CT05 | 5 | |||||
| DC | Washington DC | 10/15/2011 | 5000 | 5,000 | DC | 5000 | |||
| DE | Delmar | 5 | DE01 | 5 | |||||
| DE | Wilmington | Oct. 15, 2011 | 150 | 150 | DE01 | 150 | |||
| FL | Pensacola | 8/10/11 | 500 | 500 | FL01 | 500 | |||
| FL | Tallahassee | 10/14/2011 | 300 | 300 | FL02 | 300 | |||
| FL | jacksonville | oct 8th | 500 | 500 | FL03 | 500 | |||
| FL | Gainesville | 11/10/11 | 100 | 100 | FL06 | 100 | |||
| FL | St. Augustine | 5 | FL07 | 5 | |||||
| FL | Daytona | October 15th 2011 | 200 | 200 | FL07 | 200 | |||
| FL | Orlando | 10/15/2011 | 3000 | 3,000 | FL08 | 3000 | |||
| FL | New Port Richey | 5 | FL09 | 5 | |||||
| FL | St. Petersburg | 10/15/2011 | 5 | FL10 | 5 | ||||
| FL | Tampa | 5 | FL11 | 5 | |||||
| FL | University of South Florida | 3/11/11 | 50 | 50 | FL11 | 50 | |||
| FL | Bradenton | 5 | FL13 | 5 | |||||
| FL | Sarasota | 10/15/2011 | 200 | 200 | FL13 | 200 | |||
| FL | fort myers | 5 | FL14 | 5 | |||||
| FL | Naples | 10/15/2011 | 400 | 400 | FL14 | 400 | |||
| FL | Cocoa | 5 | FL15 | 5 | |||||
| FL | Melbourne | 5 | FL15 | 5 | |||||
| FL | Vero Beach | 5 | FL15 | 5 | |||||
| FL | Miami | 10/15/2011 | 1000 | 1,000 | FL17 | 1000 | |||
| FL | Key West | 5 | FL18 | 5 | |||||
| FL | Lehigh Acres | 5 | FL19 | 5 | |||||
| FL | Boca Raton | 10/13/2011 | 100 | 100 | FL19 | 100 | |||
| FL | Lake Worth | 8/10/11 | 250 | 250 | FL19 | 250 | |||
| FL | Delray Beach | 10/15/2011 | 100 | 100 | FL21 | 100 | |||
| FL | Palm Beach | 5 | FL22 | 5 | |||||
| FL | West Palm Beach | 5 | FL22 | 5 | |||||
| FL | Ft. Lauderdale | 10/15/2011 | 400 | 400 | FL22 | 400 | |||
| GA | Savannah | 9/10/11 | 100 | 100 | GA01 | 100 | |||
| GA | Valdosta | 8/10/11 | 200 | 200 | GA01 | 200 | |||
| GA | Fort Benning | 5 | GA02 | 5 | |||||
| GA | Atlanta | 10/10/11 | 150 | 150 | GA05 | 150 | |||
| GA | Macon | 5 | GA08 | 5 | |||||
| GA | Athens | 5 | GA10 | 5 | |||||
| GA | Augusta | 12/10/11 | 70 | 70 | GA10 | 70 | |||
| GA | Dalton | 5 | GA14 | 5 | |||||
| HI | Honolulu | 10/15/2011 | 200 | 200 | HI01 | 200 | |||
| HI | Kauaʻi | 5 | HI02 | 5 | |||||
| HI | Kona | 5 | HI02 | 5 | |||||
| HI | Oahu | 5 | HI02 | 5 | |||||
| HI | Waikiki | 5 | HI02 | 5 | |||||
| HI | Hilo | 6/10/11 | 50 | 50 | HI02 | 50 | |||
| HI | Kahului | 10/26/2011 | 50 | 50 | HI02 | 50 | |||
| HI | Kailua-Kona | 10/26/2011 | 60 | 60 | HI02 | 60 | |||
| HI | Maui | 10/15/2011 | 100 | 100 | HI02 | 100 | |||
| HI | Wailuku | 7/10/11 | 150 | 150 | HI02 | 150 | |||
| IA | Cedar Valley | 5 | IA01 | 5 | |||||
| IA | Decorah | Nov. 5th, 2011 | 5 | IA01 | 5 | ||||
| IA | Dubuque | 5 | IA01 | 5 | |||||
| IA | Cedar Rapids | Oct. 22, 2011 | 5 | IA02 | 5 | ||||
| IA | Iowa City | 10/10/11 | 200 | 200 | IA02 | 200 | |||
| IA | Des Moines | 9/10/11 | 350 | 350 | IA03 | 350 | |||
| IA | Ames | 10/13/2011 | 300 | 300 | IA04 | 300 | |||
| ID | Boise | 5 | ID01 | 5 | |||||
| ID | Coeur d'Alene | 10/15/2011 | 5 | ID01 | 5 | ||||
| ID | Sandpoint | 5 | ID01 | 5 | |||||
| ID | Idaho Falls | 5 | ID02 | 5 | |||||
| ID | Moscow | 5 | ID02 | 5 | |||||
| ID | Pocatello | 7/10/11 | 5 | ID02 | 5 | ||||
| ID | Salmon | 5 | ID02 | 5 | |||||
| IL | Chicago | 8,000 | 8,000 | IL01 | 8000 | ||||
| IL | Kankakee | 5 | IL11 | 5 | |||||
| IL | Normal | 5 | IL11 | 5 | |||||
| IL | Streator | Nov. 30, 2011 | 5 | IL11 | 5 | ||||
| IL | Normal and Bloomington | Octorber 5 | 65 | 65 | IL11 | 65 | |||
| IL | Naperville | 10/23/2011 | 70 | 70 | IL11 | 70 | |||
| IL | CarbonDale | 10/15/2011 | 100 | 100 | IL12 | 100 | |||
| IL | Aurora | 5 | il14 | 5 | |||||
| IL | DeKalb | 5 | IL14 | 5 | |||||
| IL | Bloomington | Oct. 5, 2011 | 5 | IL15 | 5 | ||||
| IL | Charleston | 10/17/2011 | 12 | 12 | IL15 | 12 | |||
| IL | Champaign | 10/15/2011 | 400 | 400 | IL15 | 400 | |||
| IL | Ottawa | 5 | IL16 | 5 | |||||
| IL | Rockford | 4/10/11 | 200 | 200 | IL16 | 200 | |||
| IL | Galesburg | Oct. 17, 2011 | 40 | 40 | IL17 | 40 | |||
| IL | Macomb | Oct. 21, 2011 | 60 | 60 | IL17 | 60 | |||
| IL | Peoria | 10/15/2011 | 300 | 300 | IL18 | 300 | |||
| IL | Springfield | 5 | IL19 | 5 | |||||
| IN | Portage | Oct. 22, 2011 | 5 | IN01 | 5 | ||||
| IN | Valparaiso | 5 | IN01 | 5 | |||||
| IN | Elkhart | 12/10/11 | 5 | IN02 | 5 | ||||
| IN | South Bend | 8/10/11 | 100 | 100 | IN02 | 100 | |||
| IN | Fort Wayne | 10/15/2011 | 300 | 300 | IN03 | 300 | |||
| IN | West Lafayette | Dec. 10, 2011 | 50 | 50 | IN04 | 50 | |||
| IN | Lafayette | 10/29/2011 | 1000 | 1,000 | IN04 | 1000 | |||
| IN | Kokomo | 5 | IN05 | 5 | |||||
| IN | Anderson | 5 | IN06 | 5 | |||||
| IN | Muncie | Oct. 19, 2011 | 20 | 20 | IN06 | 20 | |||
| IN | Indianapolis | Oct. 8, 2011 | 1,000 | 1,000 | IN07 | 1000 | |||
| IN | Evansville | 10/15/2011 | 100 | 100 | IN08 | 100 | |||
| IN | Bloomington | 9/10/11 | 200 | 200 | IN09 | 200 | |||
| KS | Topeka | 5 | KS02 | 5 | |||||
| KS | Pittsburg | October 12th | 15 | 15 | KS02 | 15 | |||
| KS | Lawrence | October 8th, 201 | 150 | 150 | KS02 | 150 | |||
| KS | Manhattan | 10/15/2011 | 200 | 200 | KS02 | 200 | |||
| KS | Kansas City | 5 | KS03 | 5 | |||||
| KS | Wichita | 2/10/11 | 300 | 300 | KS04 | 300 | |||
| KY | Paducah | 5 | KY01 | 5 | |||||
| KY | Bowling Green | 5 | KY02 | 5 | |||||
| KY | Owensboro | 5 | KY02 | 5 | |||||
| KY | Louisville | Oct. 04, 2011 | 300 | 300 | KY03 | 300 | |||
| KY | Ashland | 5 | KY04 | 5 | |||||
| KY | Berea | 5 | KY06 | 5 | |||||
| KY | Lexington | Sept. 31, 2011 | 100 | 100 | KY06 | 100 | |||
| LA | New Orleans | 6/10/11 | 400 | 400 | LA02 | 400 | |||
| LA | Shreveport | 10/15/2011 | 100 | 100 | LA04 | 100 | |||
| LA | Baton Rouge | October 22nd, 2011 | 150 | 150 | LA06 | 150 | |||
| LA | Lake Charles | 5 | LA07 | 5 | |||||
| LA | Lafayette | Nov. 17, 2011 | 12 | 12 | LA07 | 12 | |||
| MA | Berkshires | Oct. 10, 2011 | 5 | MA01 | 5 | ||||
| MA | Lenox | 5 | MA01 | 5 | |||||
| MA | Williamstown | 5 | MA01 | 5 | |||||
| MA | Amherst | Oct. 5, 2011 | 36 | 36 | MA01 | 36 | |||
| MA | Springfield | Oct. 10, 2011 | 5 | MA02 | 5 | ||||
| MA | Greenfield | 12/10/11 | 50 | 50 | MA02 | 50 | |||
| MA | Northampton | Oct. 6, 2011 | 50 | 50 | MA02 | 50 | |||
| MA | Marlborough | 10/15/2011 | 5 | MA03 | 5 | ||||
| MA | Worcester | October 16th 2011 | 110 | 110 | MA03 | 110 | |||
| MA | Newton | 5 | MA04 | 5 | |||||
| MA | Salem | Oct. 22, 2011 | 5 | MA06 | 5 | ||||
| MA | Reading | 20 | 20 | MA06 | 20 | ||||
| MA | New Bedford | 10/15/2011 | 100 | 100 | MA06 | 100 | |||
| MA | Jamaica Plain | Nov. 13, 2011 | 5 | MA07 | 5 | ||||
| MA | Cambridge | Nov. 9, 2011 | 5 | MA08 | 5 | ||||
| MA | Somerville | 5 | MA08 | 5 | |||||
| MA | Needham | 5 | MA09 | 5 | |||||
| MA | Provincetown | 5 | MA09 | 5 | |||||
| MA | Falmouth | 8/10/11 | 37 | 37 | MA09 | 37 | |||
| MA | Boston | Sept. 30 | 1000 | 1,000 | MA09 | 1000 | |||
| MA | Hyannis | 1014/11 | 100 | 100 | MA10 | 100 | |||
| ME | Bar Harbor | Oct. 15, 2011 | 70 | 70 | MD02 | 70 | |||
| MD | Annapolis | 5 | MD03 | 5 | |||||
| MD | Frederick | Nov. 11, 2011 | 5 | MD06 | 5 | ||||
| MD | Hagerstown | 5 | MD06 | 5 | |||||
| MD | Cumberland | Oct. 8, 2011 | 3 | 5 | MD06 | 5 | |||
| MD | Baltimore | 4/10/11 | 200 | 200 | MD07 | 200 | |||
| ME | Brunswick | 5 | ME01 | 5 | |||||
| ME | Portland | 5 | ME01 | 5 | |||||
| ME | South Portland | 5 | ME01 | 5 | |||||
| ME | Augusta | 10/15/2011 | 115 | 115 | ME01 | 115 | |||
| ME | Presque Isle | 5 | ME02 | 5 | |||||
| ME | Bangor | 12/10/11 | 50 | 50 | ME02 | 50 | |||
| MI | Traverse City | 10/15/2011 | 80 | 80 | MI01 | 80 | |||
| MI | Muskegon | 5 | MI02 | 5 | |||||
| MI | Grand Rapids | 8/10/11 | 400 | 400 | MI03 | 400 | |||
| MI | Saginaw | 5 | MI05 | 5 | |||||
| MI | Flint | Oct. 14th | 375 | 375 | MI05 | 375 | |||
| MI | Kalamazoo | 12/10/11 | 500 | 500 | MI06 | 500 | |||
| MI | Saline | 5 | MI07 | 5 | |||||
| MI | Brighton | 5 | MI08 | 5 | |||||
| MI | East Lansing | 5 | MI08 | 5 | |||||
| MI | Lansing | 10/15/2011 | 500 | 500 | MI08 | 500 | |||
| MI | Detroit | 10/15/2011 | 1000 | 1,000 | MI13 | 1000 | |||
| MI | Marquette | 5 | MI15 | 5 | |||||
| MI | Niles | 5 | MI15 | 5 | |||||
| MI | Ypsilanti | 5 | MI15 | 5 | |||||
| MI | Ann Arbor | 6/10/11 | 200 | 200 | MI15 | 200 | |||
| MN | Rochester | 150 | 150 | MN01 | 150 | ||||
| MN | Minneapolis | October 7th, 2011 | 600 | 600 | MN05 | 600 | |||
| MO | arnold | 10/23/2011 | 3500 | 3,500 | MN05 | 3500 | |||
| MN | Alexandria | 5 | MN07 | 5 | |||||
| MN | Moorhead | 5 | MN07 | 5 | |||||
| MN | Marshall | 10/14/2011 | 20 | 20 | MN07 | 20 | |||
| MN | Bemidji | Oct 15th | 30 | 30 | MN07 | 30 | |||
| MN | Duluth | 9/10/11 | 100 | 100 | MN08 | 100 | |||
| MO | St. Louis | 1/10/11 | 1000 | 1,000 | MO01 | 1000 | |||
| MO | Kansas City | 3/10/11 | 500 | 500 | MO05 | 500 | |||
| MO | Kirksville | 5 | MO06 | 5 | |||||
| MO | St. Joseph | Oct. 5, 2011 | 5 | MO06 | 5 | ||||
| MO | Joplin | 5 | MO07 | 5 | |||||
| MO | Springfield | 10/15/2011 | 200 | 200 | MO07 | 200 | |||
| MO | Cape Girardeau | Nov. 5, 2011 | 5 | MO08 | 5 | ||||
| MO | Columbia | 5 | MO09 | 5 | |||||
| MS | Jackson | Oct. 15, 2011 | 50 | 50 | MS02 | 50 | |||
| MS | Biloxi | Oct. 15, 2011 | 5 | MS04 | 5 | ||||
| MT | Butte | 5 | MT01 | 5 | |||||
| MT | Great Falls | 5 | MT01 | 5 | |||||
| MT | Billings | 10/15/2011 | 50 | 50 | MT01 | 50 | |||
| MT | kalispell | 10/17/2011 | 50 | 50 | MT01 | 50 | |||
| MT | Bozeman | 10/14/2011 | 200 | 200 | MT01 | 200 | |||
| MT | Helena | October 15th | 200 | 200 | MT01 | 200 | |||
| MT | Missoula | 8/10/11 | 300 | 300 | MT01 | 300 | |||
| NC | Raleigh | 10/15/2011 | 1200 | 1,200 | NC02 | 1200 | |||
| NC | Durham | 10/15/2011 | 100 | 100 | NC04 | 100 | |||
| NC | Greensboro | 10/15/2011 | 1000 | 1,000 | NC06 | 1000 | |||
| NC | Fayetteville | 5 | NC07 | 5 | |||||
| NC | Wilmington | 5 | NC07 | 5 | |||||
| SC | Charlotte | 8/10/11 | 600 | 600 | NC09 | 600 | |||
| NC | Asheville | 5 | NC11 | 5 | |||||
| NC | Hendersonville | 5 | NC11 | 5 | |||||
| NC | Sylva | 5 | NC11 | 5 | |||||
| NC | Winston-Salem | 600 | 600 | NC12 | 600 | ||||
| ND | Grand Forks | Oct. 15, 2011 | 5 | ND01 | 5 | ||||
| ND | Minot | 5 | ND01 | 5 | |||||
| ND | Bismarck | 10/15/2011 | 60 | 60 | ND01 | 60 | |||
| ND | Fargo-Moorhead | 10/15/2011 | 150 | 150 | ND01 | 150 | |||
| NE | Lincoln | 3/15/2011 | 500 | 500 | NE01 | 500 | |||
| NE | Omaha | 10/15/2011 | 1000 | 1,000 | NE02 | 1000 | |||
| NH | Exeter | 5 | NH01 | 5 | |||||
| NH | Manchester | 100 | 100 | NH01 | 100 | ||||
| NH | Concord | 5 | NH02 | 5 | |||||
| NH | Conway | 5 | NH02 | 5 | |||||
| NH | Nashua | 5 | NH02 | 5 | |||||
| NH | Hanover | Oct. 13, 2011 | 20 | 20 | NH02 | 20 | |||
| NH | Keene | OCT 15th | 40 | 40 | NH02 | 40 | |||
| NJ | Newton | 10/15/2011 | 150 | 150 | NJ02 | 150 | |||
| NJ | Mount Olive | Oct. 10, 2011 | 28 | 28 | NJ07 | 28 | |||
| NJ | Kearney | 5 | NJ08 | NJ09 | 2.5 | ||||
| NJ | Newark | 5 | NJ10 | 5 | |||||
| NJ | Toms River | 5 | NJ10 | 5 | |||||
| NJ | Princeton | 5 | NJ12 | 5 | |||||
| NJ | Trenton | 6th October, 2011 | 24 | 24 | NJ12 | 24 | |||
| NJ | Jersey City | 5 | NJ13 | 5 | |||||
| NJ | Atlantic City | Nov. 5, 2011 | 25 | 25 | NJ13 | 25 | |||
| NM | Albuquerque | October 6th, 2011 | 500 | 500 | NM01 | 500 | |||
| NM | Carlsbad | 5 | NM02 | 5 | |||||
| NM | Los Lunas | 5 | NM02 | 5 | |||||
| NM | Roswell | 5 | NM02 | 5 | |||||
| NM | Las Cruces | 10/15/2011 | 60 | 60 | NM02 | 60 | |||
| NM | Taos | 6/10/11 | 10 | 10 | NM03 | 10 | |||
| NM | Santa Fe | 10/15/2011 | 1000 | 1,000 | NM03 | 1000 | |||
| NV | Las Vegas | 10/15/2011 | 1000 | 1,000 | NV01 | 1000 | |||
| NV | Carson City | 10/15/2011 | 75 | 75 | NV02 | 75 | |||
| NV | reno | 275 | 275 | NV02 | 275 | ||||
| NV | Tahoe | 5 | NV04 | 5 | |||||
| NY | Sag Harbor | 10/15/2011 | 120 | 120 | NY01 | 120 | |||
| NY | The Hamptons | 10/15/2011 | 200 | 200 | NY01 | 200 | |||
| NY | Brooklyn | 10/15/2011 | 150 | 150 | NY10 | 150 | |||
| NY | Astoria | 10/28/2011 | 5 | NY14 | 5 | ||||
| NY | Glens Falls | 5 | NY20 | 5 | |||||
| NY | Saratoga Springs | 5 | NY20 | 5 | |||||
| NY | Albany | Oct. 21, 2011 | 5 | NY21 | 5 | ||||
| NY | Kingston | 5 | NY22 | 5 | |||||
| NY | Long Island | 5 | NY22 | 5 | |||||
| NY | New Paltz | 5 | NY22 | 5 | |||||
| NY | Paltz | 5 | NY22 | 5 | |||||
| NY | Binghamton | 10/15/2011 | 100 | 100 | NY22 | 100 | |||
| NY | Poughkeepsie | Oct. 15, 2011 | 200 | 200 | NY22 | 200 | |||
| NY | Ithaca | 5/10/11 | 300 | 300 | NY22 | 300 | |||
| NY | Plattsburgh | 5 | NY23 | 5 | |||||
| NY | Saranac Lake | 5 | NY23 | 5 | |||||
| NY | Cortland | 5 | NY24 | 5 | |||||
| NY | Oneonta | 10/15/2011 | 100 | 100 | NY24 | 100 | |||
| NY | Utica | 10/13/2011 | 400 | 400 | NY24 | 400 | |||
| NY | Syracuse | 2/10/11 | 200 | 200 | NY25 | 200 | |||
| NY | Fredonia | 5 | NY27 | 5 | |||||
| NY | Buffalo | 8/10/11 | 200 | 200 | NY27 | 200 | |||
| NY | Rochester | 5 | NY28 | 5 | |||||
| OH | Cincinnati | 8/10/11 | 1200 | 1,200 | OH01 | 1200 | |||
| OH | Dayton | 10/10/11 | 300 | 300 | OH03 | 300 | |||
| OH | Defiance | 5 | OH05 | 5 | |||||
| OH | Findlay | 5 | OH05 | 5 | |||||
| OH | Bowling Green | 10/19/2011 | 50 | 50 | OH05 | 50 | |||
| OH | Athens | 10/16/2011 | 50 | 50 | OH06 | 50 | |||
| OH | Toledo | 10-Oct-11 | 250 | 250 | OH09 | 250 | |||
| OH | Cleveland | 7/10/11 | 150 | 150 | OH11 | 150 | |||
| OH | Columbus | 10/10/11 | 90 | 90 | OH12 | 90 | |||
| OH | Kent | 5 | OH13 | 5 | |||||
| OH | Akron | 10/15/2011 | 20 | 20 | OH13 | 20 | |||
| OH | Youngstown | 10/15/2011 | 300 | 300 | OH13 | 300 | |||
| OH | Canton | Oct. 15, 2011 | 150 | 150 | OH16 | 150 | |||
| OK | Bartlesville | 5 | OK01 | 5 | |||||
| OK | Tulsa | 10/15/2011 | 300 | 300 | OK01 | 300 | |||
| OK | Tahlequah | 8-Oct-11 | 25 | 25 | OK02 | 25 | |||
| OK | Norman | 5 | OK04 | 5 | |||||
| OK | Shawnee | Oct. 11, 2011 | 50 | 50 | OK05 | 50 | |||
| OK | Oklahoma City | 7/10/11 | 250 | 250 | OK05 | 250 | |||
| OR | Seaside | 8/10/11 | 40 | 40 | OR01 | 40 | |||
| OR | Portland | 6/10/11 | 10000 | 10,000 | OR01 | 10000 | |||
| OR | Klamath Falls | 5 | OR02 | 5 | |||||
| OR | Mosier | Nov. 5, 2011 | 20 | 20 | OR02 | 20 | |||
| OR | Eureka | 30 | 30 | OR02 | 30 | ||||
| OR | Bend | October 15,1011 | 150 | 150 | OR02 | 150 | |||
| OR | Medford | 10/15/2011 | 200 | 200 | OR02 | 200 | |||
| OR | Ashland | 6/10/11 | 275 | 275 | OR02 | 275 | |||
| OR | Cottage Grove | 5 | OR04 | 5 | |||||
| OR | Port Orford | 5 | OR04 | 5 | |||||
| OR | Roseburg | 5 | OR04 | 5 | |||||
| OR | Coos Bay | October 15,1011 | 40 | 40 | OR04 | 40 | |||
| OR | Corvallis | 6/10/11 | 60 | 60 | OR04 | 60 | |||
| OR | Eugene | 10/15/2011 | 2000 | 2,000 | OR04 | 2000 | |||
| OR | Tillamook | 10/15/2011 | 28 | 28 | OR05 | 28 | |||
| OR | Salem | 10/10/11 | 300 | 300 | OR05 | 300 | |||
| PA | Philadelphia | 6/10/11 | 5000 | 5,000 | PA01 | 5000 | |||
| PA | Erie | 5 | PA03 | 5 | |||||
| PA | University Park | 5 | PA05 | 5 | |||||
| PA | State College | 10/17/2011 | 40 | 40 | PA05 | 40 | |||
| PA | Temple | 11/11/11 | 5 | PA06 | 5 | ||||
| PA | Doylestown | 5 | PA08 | 5 | |||||
| PA | Williamsport | 5 | PA10 | 5 | |||||
| PA | Stroudsburg | 5 | PA11 | 5 | |||||
| PA | Scranton | 10/15/2011 | 200 | 200 | PA11 | 200 | |||
| PA | Ambridge | 5 | PA12 | 5 | |||||
| PA | Bethlehem/Lehigh Valley | 5 | PA15 | 5 | |||||
| PA | Bethlehem | Oct. 24, 2011 | 20 | 20 | PA15 | 20 | |||
| PA | Allentown | 3/10/11 | 120 | 120 | PA15 | 120 | |||
| PA | Lancaster | 10/15/2011 | 300 | 300 | PA16 | 300 | |||
| PA | Easton | Nov. 17, 2011 | 5 | PA17 | 5 | ||||
| PA | Pottsville | 5 | PA17 | 5 | |||||
| PA | Harrisburg | 10/15/2011 | 200 | 200 | PA17 | 200 | |||
| PA | Pittsburgh | 10/15/11 | 3000 | 3,000 | PA18 | 3000 | |||
| PA | York | 5 | PA19 | 5 | |||||
| RI | Providence | 10/15/2011 | 1000 | 1,000 | RI01 | R02 | 500 | ||
| NC | Charleston | 10/15/2011 | 150 | 150 | SC01 | 150 | |||
| SC | Charleston | 10/15/2011 | 170 | 170 | SC01 | 170 | |||
| SC | Hilton Head | Dec. 29, 2011 | 12 | 12 | SC02 | 12 | |||
| SC | Simpsonville | 5 | SC03 | 5 | |||||
| SC | Greenville | 5 | SC04 | 5 | |||||
| SC | Greer | 5 | SC04 | 5 | |||||
| SC | spartanburg | 10/13/2011 | 200 | 200 | SC04 | 200 | |||
| SC | Florence | 5 | SC06 | 5 | |||||
| SC | Columbia | 10/15/2011 | 150 | 150 | SC06 | 150 | |||
| SD | Spearfish | 5 | SD01 | 5 | |||||
| SD | Vermillion | 5 | SD01 | 5 | |||||
| SD | Sioux Falls | Oct. 15, 2011 | 50 | 50 | SD01 | 50 | |||
| SD | Rapid City | Oct. 15th | 90 | 90 | SD01 | 90 | |||
| TN | johnson city | oct.15, 20011 | 130 | 130 | TN01 | 130 | |||
| TN | Knoxville | 7/10/11 | 500 | 500 | TN02 | 500 | |||
| TN | Chattanooga | 10/15/2011 | 50 | 50 | TN03 | 50 | |||
| TN | Nashville | 10/15/2011 | 300 | 300 | TN05 | 300 | |||
| TN | Murfreesboro | 5 | TN06 | 5 | |||||
| TN | Clarksville | 5 | TN07 | 5 | |||||
| TN | memphis | 10/15/2011 | 150 | 150 | TN07 | 150 | |||
| TX | Texarkana | 5 | TX01 | 5 | |||||
| TX | Dallas | 250 | 250 | TX05 | 250 | ||||
| TX | Houston | 7/10/11 | 300 | 300 | TX07 | 300 | |||
| TX | San Angelo | 5 | TX11 | 5 | |||||
| TX | Ft. Worth | Oct. 10, 2011 | 200 | 200 | TX12 | 200 | |||
| TX | Amarillo | 10/15/2011 | 125 | 125 | TX13 | 125 | |||
| TX | Galveston | 5 | TX14 | 5 | |||||
| TX | McAllen | 5 | TX15 | 5 | |||||
| TX | El Paso | 10/17/2011 | 50 | 50 | TX16 | 50 | |||
| TX | Bryan | 5 | TX17 | 5 | |||||
| TX | College Station | 5 | TX17 | 5 | |||||
| TX | Abilene | 5 | TX19 | 5 | |||||
| TX | Lubbock | 10/15/2011 | 50 | 50 | TX19 | 50 | |||
| TX | San Antonio | 6/10/11 | 250 | 250 | TX20 | 250 | |||
| TX | Marfa | 5 | TX23 | 5 | |||||
| TX | Austin | 6/10/11 | 2000 | 2,000 | TX25 | 2000 | |||
| TX | Denton | Oct 15th, 2011 | 5 | TX26 | 5 | ||||
| TX | Lewisville | 5 | TX26 | 5 | |||||
| TX | Brownsville | 5 | TX27 | 5 | |||||
| TX | Port Aransas | october 15th | 1 | 5 | TX27 | 5 | |||
| TX | Corpus Christi | October 15th | 50 | 50 | TX27 | 50 | |||
| TX | Temple | 11/11/11 | 5 | TX31 | 5 | ||||
| TX | San Marcos | 5/10/11 | 100 | 100 | TX35 | 100 | |||
| UT | Ogden | Nov. 6, 2011 | 5 | UT01 | 5 | ||||
| UT | Park City | Oct. 31, 2011 | 1 | 5 | UT01 | 5 | |||
| UT | Moab | 5 | UT02 | 5 | |||||
| UT | Salt Lake City | Oct. 7, 2011 | 5 | UT02 | UT04 | UT03 | 1.666666667 | ||
| UT | St. George | Oct. 7, 2011 | 5 | UT02 | 5 | ||||
| UT | Provo | Oct. 29, 2011 | 5 | UT03 | 5 | ||||
| VA | Williamsburg | 5 | VA01 | 5 | |||||
| VA | Virginia Beach | 10/15/2011 | 50 | 50 | VA02 | 50 | |||
| VA | Norfolk | 6/10/11 | 120 | 120 | VA02 | 120 | |||
| VA | Martinsville | 5 | VA05 | 5 | |||||
| VA | Charlottesville | Oct. 15, 2011 | 120 | 120 | VA05 | 120 | |||
| VA | Harrisonburg | 5 | VA06 | 5 | |||||
| VA | Roanoke | 5 | VA06 | 5 | |||||
| VA | Richmond | 10/15/2011 | 400 | 400 | VA07 | VA03 | 200 | ||
| VA | Arlington | 5 | VA08 | 5 | |||||
| VA | Blacksburg | 5 | VA09 | 5 | |||||
| VT | Bennington | Nov. 19, 2011 | 10 | 10 | VT01 | 10 | |||
| VT | Upper Valley | Dec. 9, 2011 | 20 | 20 | VT01 | 20 | |||
| VT | Rutland | Nov. 9, 2011 | 25 | 25 | VT01 | 25 | |||
| VT | Brattleboro | 100 | 100 | VT01 | 100 | ||||
| VT | Central Vermont | Oct. 9, 2011 | 300 | 300 | VT01 | 300 | |||
| VT | Burlington | Oct. 9, 2011 | 1,000 | 1,000 | VT01 | 1000 | |||
| WA | Bainbridge Island | 5 | WA01 | 5 | |||||
| WA | Marysville | 5 | WA01 | 5 | |||||
| WA | Mt. Vernon | 5 | WA01 | 5 | |||||
| WA | Stanwood | 5 | WA02 | 5 | |||||
| WA | Everett | 25-Oct-11 | 150 | 150 | WA02 | 150 | |||
| WA | Bellingham | October 7th | 600 | 600 | WA02 | 600 | |||
| WA | Centralia | 5 | WA03 | 5 | |||||
| WA | Longview | 5 | WA03 | 5 | |||||
| WA | Olympia | 10/18/11 | 200 | 200 | WA03 | 200 | |||
| WA | Vancouver | 10/15/2011 | 700 | 700 | WA03 | 700 | |||
| WA | Cle Elum | 5 | WA04 | 5 | |||||
| WA | Leavenworth | 5 | WA04 | 5 | |||||
| WA | Wenatchee | 7/10/11 | 45 | 45 | WA04 | 45 | |||
| WA | Yakima | 10/15/2011 | 100 | 100 | WA04 | 100 | |||
| WA | Richland | 10/15/2011 | 300 | 300 | WA04 | 300 | |||
| WA | Colville | 5 | WA05 | 5 | |||||
| WA | Walla Walla | 10/16/2011 | 50 | 50 | WA05 | 50 | |||
| WA | Spokane | 9/28/2011 | 2000 | 2,000 | WA05 | 2000 | |||
| WA | Bremerton | 5 | WA06 | 5 | |||||
| WA | Port Angeles | 10/15/2011 | 200 | 200 | WA06 | 200 | |||
| WA | Tacoma | 10/15/2011 | 1200 | 1,200 | WA06 | 1200 | |||
| WA | Seattle | 10/15/11 | 5,000 | 5,000 | WA07 | 5000 | |||
| WA | Ellensburg | 5 | WA08 | 5 | |||||
| WA | Bellevue | 5 | WA09 | 5 | |||||
| WA | Federal Way | 5 | WA09 | 5 | |||||
| WA | Puyallup | 5 | WA09 | 5 | |||||
| WA | Port Townsend | 5 | WA23 | 5 | |||||
| WI | Janesville | Oct. 11, 2011 | 20 | 20 | WI01 | 20 | |||
| WI | Madison | 12/10/11 | 200 | 200 | WI02 | 200 | |||
| WI | La Crosse | 10/15/2011 | 120 | 120 | WI03 | 120 | |||
| WI | Milwaukee | Oct. 15, 2011 | 1,000 | 1,000 | WI04 | 1000 | |||
| WI | Saint Croix Falls | 5 | WI07 | 5 | |||||
| WI | Green Bay | October 16th | 40 | 40 | WI08 | 40 | |||
| WI | Appleton | 10/15/2011 | 200 | 200 | WI08 | 200 | |||
| WV | Buckhannon | 10/29/2011 | 5 | WV01 | 5 | ||||
| WV | Fairmont | Oct. 15, 2011 | 5 | WV01 | 5 | ||||
| WV | Morgantown | Oct. 15, 2011 | 5 | WV01 | 5 | ||||
| WV | Parkersburg | 5 | WV01 | 5 | |||||
| WV | Charleston | Oct. 15, 2011 | 5 | WV02 | 5 | ||||
| WV | Davis | Oct. 15, 2011 | 5 | WV02 | 5 | ||||
| WV | Martinsburg | Oct. 15, 2011 | 100 | 100 | WV02 | 100 | |||
| WV | Oak Hill, Fayetteville | Oct. 15, 2011 | 5 | WV03 | 5 | ||||
| WV | Huntington | 7/10/11 | 100 | 100 | WV03 | 100 | |||
| WY | Jackson Hole | 5 | WY01 | 5 | |||||
| WY | Casper | Oct. 8, 2011 | 50 | 50 | WY01 | 50 | |||
| WY | Cheyenne | 10/15/2011 | 70 | 70 | WY01 | 70 |
Sunday, October 20, 2013
Tea Party Map, 2013
Several sources have generated a "Tea Party Map" based on various metrics. For example, the New Yorker generated a map called the "GOP Suicide Caucus" based on who signed the letter by Congressman Mark Meadows back in August, stating that the GOP should shut down the government before allowing the Affordable Care Act to be funded.
More recently, the LA Times has generated a map of the 144 Congress people who voted to keep the government shutdown going--i.e., who refused to vote "Yes" on the clean continuing resolution sent down by the Senate that eventually passed Boehner's House.
I generated my own map based on these two same data sources, but included a third, members of the House Tea Party Caucaus as of 2013 (from Wikipedia, don't tell my students). This allowed me to create a rating of each of the House members from 0-3, 0 meaning they have no documented affiliation with the Tea Party by any of these three metrics, and 3, meaning that each of these 3 sources show an affiliation. So for that these metrics are worth, below is my map. Over the next few days I will be updating some demographic information for these districts and generating correlations--updated from a similar post I wrote on the topic from Aug 2011.
Sunday, October 13, 2013
US Militarization and GDP
I am currently reading McNally's Global Slump: The Economics and Politics of Crisis and Resistance. The author makes the claim that "When the war commenced in 1939, the American economy was half the size of Europe, Japan and the Soviet Union together. But after its wartime boom, as factories churned out steel, aircraft, tanks, electrical goods, bombs and more, it emerged by war's end as larger than all these others combined. American-based manufacturing accounted for fully half of world output at the end of WWII."
I hadn't realized that WWII had been so great for the US economy, so I set out to verify McNally's claims. I found a spreadsheet of historical nominal GDP by country estimated back to year "0" at the University of Gronigen's Maddison Project. Presuming the validity of the data, it indeed appears that the vast US militarization for WWII pushed the United States far ahead of other national competitors. The three lines I plotted were: United States, non-US Allies (UK, France, Soviet Union, China, Belgium, Netherlands), and the Axis Powers (Japan, Germany, Italy). No wonder General Eisenhower felt the need to warn the future US about the growth of the Military-Industrial Complex--he recognized the economic value and feared we would ourselves become another Fascist state, the same as what we had just defeated.
Thursday, October 10, 2013
Deficits as a Percent of GDP--Historical
Quick data note. What do your national (federal) deficits look like charted since 1929, when compared to our GDP? Are they getting better or worse in the last several years? Are they far worse than we have ever seen? I will let the chart speak for itself. The red bars above the 0 line are surpluses--notice there aren't many of these since WWI, so it doesn't seem this has ever been a concern in our history.
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