Appendix to

“The Occupy Movement in California”

Michaela Curran, Elizabeth A. G. Schwarz and Christopher Chase-Dunn

Institute for Research on World-Systems

University of California-Riverside

http://www.irows.ucr.edu/cd/appendices/calocc/caloccapp.htm

v. 4-29-14

Table of Contents

Excel Data Set with 453 California Incorporated Towns and Cities

http://www.irows.ucr.edu/cd/appendices/calocc/calocc.xlsx

SPSS Data Set

http://www.irows.ucr.edu/cd/appendices/calocc/occupy.sav

SPSS Codebook

http://www.irows.ucr.edu/cd/appendices/calocc/codebkcalocc.docx

Tables

Table 1: Descriptive statistics for city-level characteristics and OM activity on

Facebook

Table 2: Logistic Regression Analysis Results of the Effects of City-Level

Characteristics on Whether City has Facebook Occupy Page

Table 3: Linear Regression Analysis Results of the Effects of City-Level

Characteristics on Number of Subscribers

Table 4: Linear Regression Analysis Results of the Effects of City-Level

Characteristics on : Number of Subscribers (All Cities

Table 5: Linear Regression Analysis Results of the Effects of City-Level

Characteristics on : Date Created

Table 6: Linear Regression Analysis Results of the Effects of City-Level

Characteristics on : Date Created (ALL Cities)

Table 7: California Counties categorized as East or West

Graphics

Figure 1: Scattergram of Logged Likes and Average Unemployment in 2011 (with labels): All Cities

Figure 2: Scattergram of Logged Likes and Average Unemployment in 2011 (with labels): Only Cities with

Facebook Pages

Figure 3: Histogram of Average Unemployment in 2011 by Existence of Facebook Pages

Figure 4: Scattergram of Income and Average Unemployment in 2011(no labels)

Figure 5: Area Graph of Population by Logged Likes (all Cities)

Figure 6: Area Graph of Population by Logged Likes (only cities with a FB page)

Figure 7: Area Graph of Population by Date (All cities)

Figure 8: Area Graph of Population by Date (only cities with a FB page)

Figure 9: Histogram of Population by Facebook Page Existence

Tables

Table 1. Descriptive statistics for city-level characteristics and OM activity on Facebook

Variables	N	Std Dev	Mean	Skewness	Min	Max
Facebook page (Yes =1)	481	0.46	0.30	0.89	0	1
Facebook subscribers	143	4729	1248	7.49	1	47120
Facebook subscribers (all)	481	2,635	371.06	13.64	0	47,120
Date created	143	16.87	438.59	-0.55	395	467
Date created (all)	481	201	130.39	0.90	0	467
Total population	481	198,258	64,062	14.82	112	3,792,621
Pop/10,000	481	19.83	6.41	14.82	.01	379.26
Median Household Income	480	30,762	66,466	1.88	20,410	223,611
Income/1,000	480	30.76	66.47	1.88	20.41	223.61
Schools	481	0.67	0.18	7.02	0	8
Population Latino	481	25.23	34.99	0.84	2.69	97.54
Population white	481	17.44	64.24	-0.33	19.38	95.22
Population 18-24	481	4.02	9.43	2.24	0	39.07
Democratic	479	14.64	59.01	0.04	19.88	94.72
North/South (N=1)	481	0.50	0.53	-0.12	0	1
East/West (W=1)	481	0.49	0.61	-0.46	0	1
Military Bases	481	1.42	0.90	2.82	0	9
Average 2011 Unemployment Rate	467	6.77	12.31	1.41	0.00	42.00
Foreclosure Rate (18 month 2007-2008)	478	3.15	6.14	0.29	0.36	13.99

Table 2. Logistic Regression Analysis Results of the Effects of City-Level Characteristics on

Whether City has Facebook Occupy Page

	Model 1
Total population	0.305	***
	(0.039)
Population 18-24	0.071
	(0.039)
Population Latino	0.006
	(0.009)
Population White	0.062	***
	(0.013)
Household Income	-0.003
	(0.007)
Democratic	0.055	***
	(0.013)
North/South (N=1)	0.049
	(0.362)
East/West (W=1)	-0.588
	(0.427)
Military Bases	-0.048
	(0.120)
Schools	0.260
	(0.298)
Unemployment	-0.051
	(0.036)
Foreclosures	0.077
	(0.084)

Intercept	-9.973	***
	(1.926)
Cox & Snell R Square	0.304
N	464

Notes: Numbers in parentheses are standard errors. *p<.05; **p<.01; ***p<.001 (2-tailed test).

Table 3. Linear Regression Analysis Results of the Effects of City-Level Characteristics on :

Number of Subscribers

	Model 1
Total population	0.249	*
	(0.007)
Population 18-24	0.251	**
	(0.035)
Population Latino	-0.020
	(0.012)
Population White	-0.110
	(0.016)
Household Income	-0.222	*
	(0.009)
Democratic	0.072
	(0.016)
North/South (N=1)	-0.030
	(0.417)
East/West (W=1)	0.027
	(0.505)
Military Bases	-0.132
	(0.127)
Schools	0.199
	(0.223)
Unemployment	-0.091
	(0.057)
Foreclosures	-0.133
	(0.121)

Intercept	5.976	*
	(2.346)
R square	0.394
N	142

Notes: Numbers in parentheses are standard errors. *p<.05; **p<.01; ***p<.001 (2-tailed test).

Table 4. Linear Regression Analysis Results of the Effects of City-Level Characteristics on :

Number of Subscribers (All Cities)

	Model 1
Total population	0.275	***
	(0.007)
Population 18-24	0.223	***
	(0.029)
Population Latino	-0.064
	(0.007)
Population White	0.106	*
	(0.008)
Household Income	-0.055
	(0.005)
Democratic	0.239	***
	(0.010)
North/South (N=1)	-0.088
	(0.273)
East/West (W=1)	-0.071
	(0.343)
Military Bases	-0.081
	(0.088)
Schools	0.168	**
	(0.222)
Unemployment	-0.177	*
	(0.026)
Foreclosures	0.074
	(0.065)

Intercept	-2.054
	(1.200)
R square	0.304
N	463

Notes: Numbers in parentheses are standard errors. *p<.05; **p<.01; ***p<.001 (2-tailed test).

Table 5. Linear Regression Analysis Results of the Effects of City-Level Characteristics on :

Date Created

	Model 1
Total population	0.288	*
	(0.061)
Population 18-24	0.111
	(0.309)
Population Latino	-0.048
	(0.102)
Population White	0.094
	(0.136)
Household Income	-0.002
	(0.077)
Democratic	0.147
	(0.136)
North/South (N=1)	-0.192
	(3.651)
East/West (W=1)	-0.101
	(4.425)
Military Bases	-0.353	***
	(1.114)
Schools	-0.054
	(1.954)
Unemployment	0.203
	(0.498)
Foreclosures	-0.257
	(1.058)

Intercept	426.43	***
	(20.545)
R square	0.201
N	142

Notes: Numbers in parentheses are standard errors. *p<.05; **p<.01; ***p<.001 (2-tailed test).

Table 6. Linear Regression Analysis Results of the Effects of City-Level Characteristics on :

Date Created (ALL Cities)

	Model 1
Total population	0.184	**
	(0.651)
Population 18-24	0.152	**
	(2.607)
Population Latino	-0.040
	(0.656)
Population White	0.121	*
	(0.684)
Household Income	-0.019
	(0.436)
Democratic	0.250	***
	(0.864)
North/South (N=1)	-0.096
	(24.766)
East/West (W=1)	-0.100
	(31.141)
Military Bases	-0.043
	(7.951)
Schools	0.076
	(20.105)
Unemployment	-0.206	**
	(2.383)
Foreclosures	0.111
	(5.942)

Intercept	-150.095
	(108.897)
R square	0.144
N	463

Notes: Numbers in parentheses are standard errors. *p<.05; **p<.01; ***p<.001 (2-tailed test).

Table 7: California Counties Categorized as East or West according to Douzet's and Miller's (2008) map of counties

Douzet, Frederick, and Kenneth P. Miller. 2008. “California’s East-West Divide.” In Douzet, Kousser, Miller, eds.

The New Political Geography of California. Berkeley: Berkeley Public Policy Press.

County Name	East or West Region
Alameda	East
Humboldt	East
Los Angeles	East
Marin	East
Mendocino	East
Monterey	East
Napa	East
Orange	East
San Francisco	East
San Luis Obispo	East
Solano	East
Sonoma	East
Ventura	East
Alameda	West
Amador	West
Butte	West
Calaveras	West
Colusa	West
Contra Costa	West
Del Norte	West
El Dorado	West
Fresno	West
Glenn	West
Imperial	West
Inyo	West
Kern	West
Kings	West
Lake	West
Lassen	West
Madera	West
Merced	West
Modoc	West
Mono	West
Nevada	West
Orange	West
Placer	West
Plumas	West
Riverside	West
Sacramento	West
San Benito	West
San Bernardino	West
San Diego	West
San Joaquin	West
San Mateo	West
Santa Barbara	West
Santa Clara	West
Santa Cruz	West
Shasta	West
Sierra	West
Siskiyou	West
Stanislaus	West
Sutter	West
Tehama	West
Tulare	West
Tuolumne	West
Yolo	West
Yuba	West