(c) 2004 Institute for Public Opinion Research/Florida International University

Return to main page

Instructions on reading crosstabulation tables

Crosstabs by county

Intro to survey by county

Hello, my name is____________and I'm calling from Florida International University. We are conducting a study of the issues important to the Cuban community in South Florida. Is anyone in your HOUSEHOLD of CUBAN descent? [IF NO, GO TO DISPOSITIONS] If possible, for sampling purposes, I'm supposed to interview the youngest man 18 or older in your household. Could I do that or would you prefer that I talk to you?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
HELLO Language interview conducted in	1 ENGLISH	Count	276	221	497
	1 ENGLISH	% within COUNTY County	23.0%	36.5%	27.5%
	2 SPANISH	Count	925	385	1310
	2 SPANISH	% within COUNTY County	77.0%	63.5%	72.5%
Total		Count	1201	606	1807
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	36.748(b)	1	.000
Continuity Correction(a)	36.074	1	.000
Likelihood Ratio	35.848	1	.000
Fisher's Exact Test				.000	.000
Linear-by-Linear Association	36.727	1	.000
N of Valid Cases	1807
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 166.68.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.316	.049	-5.833	.000
N of Valid Cases		1807
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

1. When political changes in Cuba by county

This confidential call may be monitored for quality control purposes. Over the past few years, people have been talking about the possibility of political changes in Cuba. When do you think that major political changes are likely to occur in Cuba? Would you say within one year, in two-to-five years, in six-to-ten years, over ten years, or never?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q1 1. When political changes in Cuba	1 WITHIN ONE YEAR	Count	103	47	150
	1 WITHIN ONE YEAR	% within COUNTY County	12.3%	11.4%	12.0%
	2 IN TWO TO FIVE YEARS	Count	373	165	538
	2 IN TWO TO FIVE YEARS	% within COUNTY County	44.7%	39.9%	43.1%
	3 IN SIX TO TEN YEARS	Count	117	69	186
	3 IN SIX TO TEN YEARS	% within COUNTY County	14.0%	16.7%	14.9%
	4 OVER TEN YEARS	Count	90	46	136
	4 OVER TEN YEARS	% within COUNTY County	10.8%	11.1%	10.9%
	5 NEVER	Count	130	72	202
	5 NEVER	% within COUNTY County	15.6%	17.4%	16.2%
	7 DON'T CARE / DON'T WANT TO RESPOND	Count	22	15	37
	7 DON'T CARE / DON'T WANT TO RESPOND	% within COUNTY County	2.6%	3.6%	3.0%
Total		Count	835	414	1249
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	4.532(a)	5	.476
Likelihood Ratio	4.494	5	.481
Linear-by-Linear Association	2.815	1	.093
N of Valid Cases	1249
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 12.26.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.076	.044	1.704	.088
N of Valid Cases		1249
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

2. Allow companies to sell medicine to Cuba by county

[IF ON THESE QUESTIONS YOU GET THE RESPONSE "NOT AS LONG AS FIDEL OR RAUL ARE IN POWER" SAY: This question is about Cuba as it is now. Do you favor or oppose...] Over the years, the United States government has often supported different policies toward Cuba. I am going to read you some of the different policies that have been proposed and I would like you to tell me whether you favor or oppose these policies. First, allow companies to sell medicine to Cuba, do you strongly favor, mostly favor, mostly oppose, or strongly oppose this?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q2 2. Allow companies to sell medicine to Cuba	1 STRONGLY FAVOR	Count	584	283	867
	1 STRONGLY FAVOR	% within COUNTY County	50.4%	47.8%	49.5%
	2 MOSTLY FAVOR	Count	221	124	345
	2 MOSTLY FAVOR	% within COUNTY County	19.1%	20.9%	19.7%
	3 MOSTLY OPPOSE	Count	62	43	105
	3 MOSTLY OPPOSE	% within COUNTY County	5.3%	7.3%	6.0%
	4 STRONGLY OPPOSE	Count	292	142	434
	4 STRONGLY OPPOSE	% within COUNTY County	25.2%	24.0%	24.8%
Total		Count	1159	592	1751
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	3.854(a)	3	.278
Likelihood Ratio	3.781	3	.286
Linear-by-Linear Association	.110	1	.740
N of Valid Cases	1751
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 35.50.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.024	.041	.595	.552
N of Valid Cases		1751
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

3. Allow US companies to sell food to Cuba by county

Allowing U.S. companies to sell food to Cuba. [..Do you strongly favor, mostly favor, mostly oppose, or strongly oppose this?]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q3 3. Allow US companies to sell food to Cuba	1 STRONGLY FAVOR	Count	451	234	685
	1 STRONGLY FAVOR	% within COUNTY County	39.2%	40.1%	39.5%
	2 MOSTLY FAVOR	Count	177	98	275
	2 MOSTLY FAVOR	% within COUNTY County	15.4%	16.8%	15.9%
	3 MOSTLY OPPOSE	Count	114	60	174
	3 MOSTLY OPPOSE	% within COUNTY County	9.9%	10.3%	10.0%
	4 STRONGLY OPPOSE	Count	408	192	600
	4 STRONGLY OPPOSE	% within COUNTY County	35.5%	32.9%	34.6%
Total		Count	1150	584	1734
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	1.350(a)	3	.717
Likelihood Ratio	1.352	3	.717
Linear-by-Linear Association	.729	1	.393
N of Valid Cases	1734
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 58.60.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.032	.040	-.802	.422
N of Valid Cases		1734
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

4. Support direct U.S. military action to overthrow Cuban gov't by county

Supporting direct U.S. military action to overthrow the Cuban government. [...Do you strongly favor, mostly favor, mostly oppose, or strongly oppose this?]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q4 4. Support direct U.S. military action to overthrow Cuban gov't	1 STRONGLY FAVOR	Count	563	248	811
	1 STRONGLY FAVOR	% within COUNTY County	51.2%	44.1%	48.8%
	2 MOSTLY FAVOR	Count	101	65	166
	2 MOSTLY FAVOR	% within COUNTY County	9.2%	11.6%	10.0%
	3 MOSTLY OPPOSE	Count	80	66	146
	3 MOSTLY OPPOSE	% within COUNTY County	7.3%	11.7%	8.8%
	4 STRONGLY OPPOSE	Count	355	183	538
	4 STRONGLY OPPOSE	% within COUNTY County	32.3%	32.6%	32.4%
Total		Count	1099	562	1661
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	14.379(a)	3	.002
Likelihood Ratio	14.038	3	.003
Linear-by-Linear Association	2.998	1	.083
N of Valid Cases	1661
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 49.40.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.080	.042	1.891	.059
N of Valid Cases		1661
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

5. Support military action by exile community to overthrow Cuban gov't by county

Supporting military action by the exile community to overthrow the Cuban Government. [...Do you strongly favor, mostly favor, mostly oppose, or strongly oppose this?]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q5 5. Support military action by exile community to overthrow Cuban gov't	1 STRONGLY FAVOR	Count	550	261	811
	1 STRONGLY FAVOR	% within COUNTY County	50.0%	46.6%	48.9%
	2 MOSTLY FAVOR	Count	115	52	167
	2 MOSTLY FAVOR	% within COUNTY County	10.5%	9.3%	10.1%
	3 MOSTLY OPPOSE	Count	90	67	157
	3 MOSTLY OPPOSE	% within COUNTY County	8.2%	12.0%	9.5%
	4 STRONGLY OPPOSE	Count	345	180	525
	4 STRONGLY OPPOSE	% within COUNTY County	31.4%	32.1%	31.6%
Total		Count	1100	560	1660
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	7.063(a)	3	.070
Likelihood Ratio	6.877	3	.076
Linear-by-Linear Association	1.579	1	.209
N of Valid Cases	1660
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 52.96.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.050	.042	1.163	.245
N of Valid Cases		1660
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

6. Support human rights groups inside Cuba by county

Supporting human rights groups inside Cuba. [...Do you strongly favor, mostly favor, mostly oppose, or strongly oppose this?]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q6 6. Support human rights groups inside Cuba	1 STRONGLY FAVOR	Count	995	490	1485
	1 STRONGLY FAVOR	% within COUNTY County	86.1%	85.1%	85.8%
	2 MOSTLY FAVOR	Count	88	61	149
	2 MOSTLY FAVOR	% within COUNTY County	7.6%	10.6%	8.6%
	3 MOSTLY OPPOSE	Count	21	5	26
	3 MOSTLY OPPOSE	% within COUNTY County	1.8%	.9%	1.5%
	4 STRONGLY OPPOSE	Count	51	20	71
	4 STRONGLY OPPOSE	% within COUNTY County	4.4%	3.5%	4.1%
Total		Count	1155	576	1731
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	7.138(a)	3	.068
Likelihood Ratio	7.264	3	.064
Linear-by-Linear Association	.259	1	.610
N of Valid Cases	1731
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 8.65.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.030	.069	.431	.666
N of Valid Cases		1731
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

7. Establish national dialogue among Cuban exiles, dissidents, & reps of Cuban gov't by county

Establishing a national dialogue among Cuban exiles, Cuban dissidents, and representatives of the Cuban government. [...Do you strongly favor, mostly favor, mostly oppose, or strongly oppose this?]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q7 7. Establish national dialogue among Cuban exiles, dissidents, & reps of Cuban gov't	1 STRONGLY FAVOR	Count	438	237	675
	1 STRONGLY FAVOR	% within COUNTY County	39.5%	43.3%	40.7%
	2 MOSTLY FAVOR	Count	177	96	273
	2 MOSTLY FAVOR	% within COUNTY County	15.9%	17.6%	16.5%
	3 MOSTLY OPPOSE	Count	84	41	125
	3 MOSTLY OPPOSE	% within COUNTY County	7.6%	7.5%	7.5%
	4 STRONGLY OPPOSE	Count	411	173	584
	4 STRONGLY OPPOSE	% within COUNTY County	37.0%	31.6%	35.2%
Total		Count	1110	547	1657
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	4.952(a)	3	.175
Likelihood Ratio	4.989	3	.173
Linear-by-Linear Association	4.537	1	.033
N of Valid Cases	1657
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 41.26.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.086	.041	-2.073	.038
N of Valid Cases		1657
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

8. Prohibit U.S companies from doing business with Cuba by county

Prohibiting U.S companies from doing business with Cuba. [...Do you Strongly approve, mostly approve, mostly disapprove, or strongly disapprove?]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q8 8. Prohibit U.S companies from doing business with Cuba	1 STRONGLY APPROVE	Count	448	235	683
	1 STRONGLY APPROVE	% within COUNTY County	39.6%	40.5%	39.9%
	2 MOSTLY APPROVE	Count	106	60	166
	2 MOSTLY APPROVE	% within COUNTY County	9.4%	10.3%	9.7%
	3 MOSTLY DISAPPROVE	Count	117	81	198
	3 MOSTLY DISAPPROVE	% within COUNTY County	10.3%	14.0%	11.6%
	4 STRONGLY DISAPPROVE	Count	461	204	665
	4 STRONGLY DISAPPROVE	% within COUNTY County	40.7%	35.2%	38.8%
Total		Count	1132	580	1712
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	7.878(a)	3	.049
Likelihood Ratio	7.798	3	.050
Linear-by-Linear Association	1.488	1	.223
N of Valid Cases	1712
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 56.24.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.055	.041	-1.345	.179
N of Valid Cases		1712
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

9. U.S. embargo of Cuba has worked overall by county

Overall, do you think the U.S. embargo of Cuba has worked very well, well, not very well, or not at all?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q9 9. U.S. embargo of Cuba has worked overall	1 VERY WELL	Count	95	47	142
	1 VERY WELL	% within COUNTY County	8.4%	8.3%	8.4%
	2 WELL	Count	197	78	275
	2 WELL	% within COUNTY County	17.5%	13.8%	16.3%
	3 NOT VERY WELL	Count	313	185	498
	3 NOT VERY WELL	% within COUNTY County	27.7%	32.8%	29.4%
	4 NOT AT ALL	Count	523	254	777
	4 NOT AT ALL	% within COUNTY County	46.4%	45.0%	45.9%
Total		Count	1128	564	1692
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	6.467(a)	3	.091
Likelihood Ratio	6.495	3	.090
Linear-by-Linear Association	.246	1	.620
N of Valid Cases	1692
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 47.33.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.011	.041	.262	.793
N of Valid Cases		1692
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

10. Favor or oppose continuing U.S. embargo of Cuba by county

Do you favor or oppose continuing the U.S. embargo of Cuba?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q10 10. Favor or oppose continuing U.S. embargo of Cuba	1 FAVOR	Count	716	326	1042
	1 FAVOR	% within COUNTY County	66.4%	62.5%	65.1%
	2 OPPOSE	Count	363	196	559
	2 OPPOSE	% within COUNTY County	33.6%	37.5%	34.9%
Total		Count	1079	522	1601
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	2.361(b)	1	.124
Continuity Correction(a)	2.193	1	.139
Likelihood Ratio	2.349	1	.125
Fisher's Exact Test				.131	.070
Linear-by-Linear Association	2.360	1	.124
N of Valid Cases	1601
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 182.26.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.085	.055	1.524	.127
N of Valid Cases		1601
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

11. Favor or oppose diplomatic relations by county

Do you favor or oppose the U.S. re-establishing diplomatic relations with Cuba?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q11 11. Favor or oppose diplomatic relations	1 FAVOR	Count	465	264	729
	1 FAVOR	% within COUNTY County	42.4%	47.2%	44.0%
	2 OPPOSE	Count	632	295	927
	2 OPPOSE	% within COUNTY County	57.6%	52.8%	56.0%
Total		Count	1097	559	1656
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	3.518(b)	1	.061
Continuity Correction(a)	3.325	1	.068
Likelihood Ratio	3.511	1	.061
Fisher's Exact Test				.067	.034
Linear-by-Linear Association	3.516	1	.061
N of Valid Cases	1656
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 246.08.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.098	.052	-1.871	.061
N of Valid Cases		1656
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

12. How involved politically US in Cuba after Castro by county

Immediately after Fidel and Raul Castro leave power, do you think the United States should be very involved in what happens politically in Cuba, somewhat involved, or not involved at all?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q12 12. How involved politically US in Cuba after Castro	1 VERY INVOLVED	Count	586	276	862
	1 VERY INVOLVED	% within COUNTY County	51.4%	47.6%	50.1%
	2 SOMEWHAT INVOLVED	Count	343	195	538
	2 SOMEWHAT INVOLVED	% within COUNTY County	30.1%	33.6%	31.3%
	3 NOT INVOLVED AT ALL	Count	211	109	320
	3 NOT INVOLVED AT ALL	% within COUNTY County	18.5%	18.8%	18.6%
Total		Count	1140	580	1720
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	2.668(a)	2	.263
Likelihood Ratio	2.660	2	.264
Linear-by-Linear Association	1.099	1	.294
N of Valid Cases	1720
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 107.91.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.052	.043	1.209	.227
N of Valid Cases		1720
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

13. Next president of Cuba someone living in Cuba or exile by county

Immediately after Fidel and Raul Castro leave power, which do you think would be better: that the next president of Cuba be someone now living in Cuba, or be someone from the exile community?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q13 13. Next president of Cuba someone living in Cuba or exile	1 SOMEONE IN CUBA	Count	577	289	866
	1 SOMEONE IN CUBA	% within COUNTY County	52.3%	51.0%	51.8%
	2 FROM EXILE COMMUNITY	Count	216	124	340
	2 FROM EXILE COMMUNITY	% within COUNTY County	19.6%	21.9%	20.3%
	3 EITHER	Count	288	135	423
	3 EITHER	% within COUNTY County	26.1%	23.8%	25.3%
	4 NEITHER	Count	23	19	42
	4 NEITHER	% within COUNTY County	2.1%	3.4%	2.5%
Total		Count	1104	567	1671
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	4.261(a)	3	.235
Likelihood Ratio	4.158	3	.245
Linear-by-Linear Association	.109	1	.741
N of Valid Cases	1671
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 14.25.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.013	.043	.303	.762
N of Valid Cases		1671
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

14. Unrestricted travel from US to Cuba allowed or not by county

Should unrestricted travel from the US to Cuba be allowed or not?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q14 14. Unrestricted travel from US to Cuba allowed or not	1 YES, ALLOWED	Count	531	286	817
	1 YES, ALLOWED	% within COUNTY County	46.0%	48.6%	46.9%
	2 NO, NOT ALLOWED	Count	623	303	926
	2 NO, NOT ALLOWED	% within COUNTY County	54.0%	51.4%	53.1%
Total		Count	1154	589	1743
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	1.013(b)	1	.314
Continuity Correction(a)	.913	1	.339
Likelihood Ratio	1.012	1	.314
Fisher's Exact Test				.335	.170
Linear-by-Linear Association	1.012	1	.314
N of Valid Cases	1743
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 276.08.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.051	.051	-1.006	.315
N of Valid Cases		1743
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

15. How important candidate's position on Cuba in determining vote by county

In political elections, how important is a candidate's position on Cuba in determining your vote - would you say it is very important, moderately important, not very important, or not at all important?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q15 15. How important candidate's position on Cuba in determining vote	1 VERY IMPORTANT	Count	578	282	860
	1 VERY IMPORTANT	% within COUNTY County	54.2%	50.4%	52.9%
	2 MODERATELY IMPORTANT	Count	219	113	332
	2 MODERATELY IMPORTANT	% within COUNTY County	20.5%	20.2%	20.4%
	3 NOT VERY IMPORTANT	Count	112	67	179
	3 NOT VERY IMPORTANT	% within COUNTY County	10.5%	12.0%	11.0%
	4 NOT AT ALL IMPORTANT	Count	158	98	256
	4 NOT AT ALL IMPORTANT	% within COUNTY County	14.8%	17.5%	15.7%
Total		Count	1067	560	1627
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	3.443(a)	3	.328
Likelihood Ratio	3.414	3	.332
Linear-by-Linear Association	3.321	1	.068
N of Valid Cases	1627
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 61.61.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.074	.042	1.735	.083
N of Valid Cases		1627
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

16. In Miami all points of view on dealing with the Castro being heard by county

In South Florida right now, do you feel that all points of view on how to deal with the Castro regime are being heard or do you feel that some views are not being heard?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q16 16. In Miami all points of view on dealing with Castro being heard	1 ALL VIEWS ARE BEING HEARD	Count	267	129	396
	1 ALL VIEWS ARE BEING HEARD	% within COUNTY County	25.9%	25.5%	25.7%
	2 SOME VIEWS ARE NOT BEING HEARD	Count	765	377	1142
	2 SOME VIEWS ARE NOT BEING HEARD	% within COUNTY County	74.1%	74.5%	74.3%
Total		Count	1032	506	1538
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	.025(b)	1	.873
Continuity Correction(a)	.009	1	.923
Likelihood Ratio	.025	1	.873
Fisher's Exact Test				.901	.463
Linear-by-Linear Association	.025	1	.873
N of Valid Cases	1538
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 130.28.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.010	.062	.160	.873
N of Valid Cases		1538
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

17. Views not being heard by county

Which views do you think are not being heard? Those supporting more open relations with Cuba or those supporting stronger opposition to the Cuban government, or some other views?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q17 17. Views not being heard	1 VIEWS SUPPORTING MORE OPEN RELATIONS	Count	187	110	297
	1 VIEWS SUPPORTING MORE OPEN RELATIONS	% within COUNTY County	27.2%	32.1%	28.8%
	2 VIEWS SUPPORTING STRONGER OPPOSITION	Count	411	179	590
	2 VIEWS SUPPORTING STRONGER OPPOSITION	% within COUNTY County	59.8%	52.2%	57.3%
	3 OTHER, SPECIFY	Count	89	54	143
	3 OTHER, SPECIFY	% within COUNTY County	13.0%	15.7%	13.9%
Total		Count	687	343	1030
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	5.478(a)	2	.065
Likelihood Ratio	5.457	2	.065
Linear-by-Linear Association	.240	1	.624
N of Valid Cases	1030
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 47.62.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.038	.060	-.630	.529
N of Valid Cases		1030
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

18. If Cuba democracy, how likely return to Cuba to live by county

What if Cuba changed to a democratic form of government. How likely is it that you would return to Cuba to live - would you say very likely, somewhat likely, not very likely, or not at all likely?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q18 18. If Cuba democracy, how likely return to Cuba to live	1 VERY LIKELY	Count	208	87	295
	1 VERY LIKELY	% within COUNTY County	17.9%	14.7%	16.8%
	2 SOMEWHAT LIKELY	Count	184	85	269
	2 SOMEWHAT LIKELY	% within COUNTY County	15.8%	14.4%	15.3%
	3 NOT VERY LIKELY	Count	222	97	319
	3 NOT VERY LIKELY	% within COUNTY County	19.1%	16.4%	18.2%
	4 NOT AT ALL LIKELY	Count	549	322	871
	4 NOT AT ALL LIKELY	% within COUNTY County	47.2%	54.5%	49.7%
Total		Count	1163	591	1754
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	8.584(a)	3	.035
Likelihood Ratio	8.607	3	.035
Linear-by-Linear Association	6.703	1	.010
N of Valid Cases	1754
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 90.64.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.113	.041	2.788	.005
N of Valid Cases		1754
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

19. Agree with 20,000 Cubans per year by county

Currently the United States allows 20,000 Cubans per year to come to the United States to live. In general, do you agree or disagree with this migration policy?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q19 19. Agree with 20,000 Cubans per year	1 AGREE	Count	933	472	1405
	1 AGREE	% within COUNTY County	81.5%	81.9%	81.6%
	2 DISAGREE	Count	212	104	316
	2 DISAGREE	% within COUNTY County	18.5%	18.1%	18.4%
Total		Count	1145	576	1721
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	.054(b)	1	.816
Continuity Correction(a)	.028	1	.868
Likelihood Ratio	.054	1	.816
Fisher's Exact Test				.843	.436
Linear-by-Linear Association	.054	1	.816
N of Valid Cases	1721
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 105.76.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.015	.066	-.233	.816
N of Valid Cases		1721
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

21. Agree with Cuba adjustment act by county

As it stands, Cubans who leave by raft or boat are sent back to Cuba if they are intercepted before they reach U.S. soil. If they DO REACH U.S. soil they are allowed to stay in the U.S. Do you agree or disagree with this policy?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q21 21. Agree with Cuba adjustment act	1 AGREE	Count	374	213	587
	1 AGREE	% within COUNTY County	32.2%	36.2%	33.6%
	2 DISAGREE	Count	787	375	1162
	2 DISAGREE	% within COUNTY County	67.8%	63.8%	66.4%
Total		Count	1161	588	1749
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	2.816(b)	1	.093
Continuity Correction(a)	2.639	1	.104
Likelihood Ratio	2.799	1	.094
Fisher's Exact Test				.097	.052
Linear-by-Linear Association	2.814	1	.093
N of Valid Cases	1749
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 197.34.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.089	.053	-1.663	.096
N of Valid Cases		1749
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

23. Reason people want go from Cuba to US economics or freedom by county

If you have to CHOOSE ONLY ONE REASON, do you think the primary reason people want to come from Cuba to the U.S. is for economic reasons or is due to lack of freedom in Cuba? [INTERVIEWER IF THEY SAY "BOTH" ASK: If you had to pick one reason what would it be? IF THEY STILL INSIST ON BOTH, CHECK #3]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q23 23. Reason people want go from Cuba to US economics or freedom	1 ECONOMIC REASONS	Count	299	175	474
	1 ECONOMIC REASONS	% within COUNTY County	25.1%	29.1%	26.5%
	2 LACK OF FREEDOM	Count	588	300	888
	2 LACK OF FREEDOM	% within COUNTY County	49.4%	49.9%	49.6%
	3 INSISTS ON BOTH BEING EQUALLY IMPORTANT	Count	303	126	429
	3 INSISTS ON BOTH BEING EQUALLY IMPORTANT	% within COUNTY County	25.5%	21.0%	24.0%
Total		Count	1190	601	1791
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	5.797(a)	2	.055
Likelihood Ratio	5.836	2	.054
Linear-by-Linear Association	5.712	1	.017
N of Valid Cases	1791
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 143.96.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.101	.042	-2.399	.016
N of Valid Cases		1791
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

25. Musical groups from Cuba should not be allowed to perform in Miami by county

Some people argue that musical groups that come from Cuba, such as Los Van Van, should not be allowed to perform in Miami. Do you agree or disagree with this opinion?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q25 25. Musical groups from Cuba should not be allowed to perform in Miami	1 AGREE	Count	595	243	838
	1 AGREE	% within COUNTY County	52.3%	43.0%	49.2%
	2 DISAGREE	Count	542	322	864
	2 DISAGREE	% within COUNTY County	47.7%	57.0%	50.8%
Total		Count	1137	565	1702
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	13.122(b)	1	.000
Continuity Correction(a)	12.752	1	.000
Likelihood Ratio	13.157	1	.000
Fisher's Exact Test				.000	.000
Linear-by-Linear Association	13.115	1	.000
N of Valid Cases	1702
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 278.18.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.185	.050	3.640	.000
N of Valid Cases		1702
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

26. Where get news about Cuba by county

What is the most important source for you to get news about Cuba - newspapers, television, radio or some other source?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q26 26. Where get news about Cuba	1 NEWSPAPERS	Count	149	69	218
	1 NEWSPAPERS	% within COUNTY County	12.7%	11.6%	12.3%
	2 TELEVISION	Count	569	291	860
	2 TELEVISION	% within COUNTY County	48.5%	48.7%	48.6%
	3 RADIO	Count	164	96	260
	3 RADIO	% within COUNTY County	14.0%	16.1%	14.7%
	4 WORD-OF-MOUTH FROM FAMILY OR OTHERS	Count	134	64	198
	4 WORD-OF-MOUTH FROM FAMILY OR OTHERS	% within COUNTY County	11.4%	10.7%	11.2%
	5 OTHER, SPECIFY	Count	158	77	235
	5 OTHER, SPECIFY	% within COUNTY County	13.5%	12.9%	13.3%
Total		Count	1174	597	1771
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	1.885(a)	4	.757
Likelihood Ratio	1.873	4	.759
Linear-by-Linear Association	.001	1	.977
N of Valid Cases	1771
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 66.75.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.011	.039	.286	.775
N of Valid Cases		1771
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

27. Needed news from Cuba by county

Is there some type of news or information about Cuba you would like to be able to get but can't get now?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q27 27. Needed news from Cuba	1 YES, SPECIFY	Count	181	82	263
	1 YES, SPECIFY	% within COUNTY County	15.7%	14.0%	15.1%
	2 NO	Count	973	502	1475
	2 NO	% within COUNTY County	84.3%	86.0%	84.9%
Total		Count	1154	584	1738
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	.816(b)	1	.366
Continuity Correction(a)	.693	1	.405
Likelihood Ratio	.824	1	.364
Fisher's Exact Test				.395	.203
Linear-by-Linear Association	.815	1	.367
N of Valid Cases	1738
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 88.37.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.065	.072	.917	.359
N of Valid Cases		1738
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

28. Born in Cuba, U.S. or somewhere else by county

Now, I want to ask you a few questions about yourself. Were you born in Cuba, the Miami area, elsewhere in the U.S., or in some other country?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q28 28. Born in Cuba, U.S. or somewhere else	1 CUBA	Count	1073	492	1565
	1 CUBA	% within COUNTY County	89.3%	81.2%	86.6%
	2 MIAMI AREA	Count	87	53	140
	2 MIAMI AREA	% within COUNTY County	7.2%	8.7%	7.7%
	3 ELSEWHERE IN U.S.	Count	30	49	79
	3 ELSEWHERE IN U.S.	% within COUNTY County	2.5%	8.1%	4.4%
	4 OTHER COUNTRY, SPECIFY [ASK WHICH COUNTRY]	Count	11	12	23
	4 OTHER COUNTRY, SPECIFY [ASK WHICH COUNTRY]	% within COUNTY County	.9%	2.0%	1.3%
Total		Count	1201	606	1807
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	36.615(a)	3	.000
Likelihood Ratio	34.320	3	.000
Linear-by-Linear Association	31.134	1	.000
N of Valid Cases	1807
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.71.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.322	.060	4.642	.000
N of Valid Cases		1807
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

29. Parents born in Cuba, U.S. or somewhere else by county

Were your parents born in Cuba,the U.S. or somewhere else?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q29 29. Parents born in Cuba, U.S. or somewhere else	1 CUBA	Count	1053	529	1582
	1 CUBA	% within COUNTY County	87.8%	87.3%	87.6%
	2 U.S.	Count	1	5	6
	2 U.S.	% within COUNTY County	.1%	.8%	.3%
	3 ONE PARENT BORN IN CUBA, ONE ELSEWHERE	Count	98	44	142
	3 ONE PARENT BORN IN CUBA, ONE ELSEWHERE	% within COUNTY County	8.2%	7.3%	7.9%
	4 SOMEWHERE ELSE, SPECIFY [ASK WHICH COUNTRY]	Count	47	28	75
	4 SOMEWHERE ELSE, SPECIFY [ASK WHICH COUNTRY]	% within COUNTY County	3.9%	4.6%	4.2%
Total		Count	1199	606	1805
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	7.576(a)	3	.056
Likelihood Ratio	7.238	3	.065
Linear-by-Linear Association	.068	1	.794
N of Valid Cases	1805
a 2 cells (25.0%) have expected count less than 5. The minimum expected count is 2.01.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.024	.073	.322	.747
N of Valid Cases		1805
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

31. Where went first after Cuba by county

Where did you go first when you left Cuba? Did you come to the Miami area, New York, Spain, Puerto Rico, Mexico, Venezuela, or somewhere else?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q31 31. Where went first after Cuba	1 MIAMI AREA	Count	741	288	1029
	1 MIAMI AREA	% within COUNTY County	69.2%	58.9%	66.0%
	2 NEW YORK AREA	Count	39	46	85
	2 NEW YORK AREA	% within COUNTY County	3.6%	9.4%	5.4%
	3 SPAIN	Count	82	40	122
	3 SPAIN	% within COUNTY County	7.7%	8.2%	7.8%
	4 PUERTO RICO	Count	8	4	12
	4 PUERTO RICO	% within COUNTY County	.7%	.8%	.8%
	5 MEXICO	Count	31	14	45
	5 MEXICO	% within COUNTY County	2.9%	2.9%	2.9%
	6 VENEZUELA	Count	25	10	35
	6 VENEZUELA	% within COUNTY County	2.3%	2.0%	2.2%
	7 ELSEWHERE, SPECIFY [ASK WHICH COUNTRY]	Count	145	87	232
	7 ELSEWHERE, SPECIFY [ASK WHICH COUNTRY]	% within COUNTY County	13.5%	17.8%	14.9%
Total		Count	1071	489	1560
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	30.221(a)	6	.000
Likelihood Ratio	28.531	6	.000
Linear-by-Linear Association	6.462	1	.011
N of Valid Cases	1560
a 1 cells (7.1%) have expected count less than 5. The minimum expected count is 3.76.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.168	.046	3.471	.001
N of Valid Cases		1560
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

33. How left Cuba by county

How did you leave Cuba?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q33 33. How left Cuba	1 DIRECT FLIGHT TO THE U.S.	Count	647	308	955
	1 DIRECT FLIGHT TO THE U.S.	% within COUNTY County	60.5%	62.7%	61.2%
	2 FLIGHT TO ANOTHER COUNTRY	Count	221	100	321
	2 FLIGHT TO ANOTHER COUNTRY	% within COUNTY County	20.7%	20.4%	20.6%
	3 BY BOAT	Count	99	43	142
	3 BY BOAT	% within COUNTY County	9.3%	8.8%	9.1%
	4 BY RAFT	Count	51	22	73
	4 BY RAFT	% within COUNTY County	4.8%	4.5%	4.7%
	5 OTHER, SPECIFY	Count	51	18	69
	5 OTHER, SPECIFY	% within COUNTY County	4.8%	3.7%	4.4%
Total		Count	1069	491	1560
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	1.365(a)	4	.850
Likelihood Ratio	1.398	4	.845
Linear-by-Linear Association	1.220	1	.269
N of Valid Cases	1560
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 21.72.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.047	.048	-.978	.328
N of Valid Cases		1560
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

34. Time in Guantanamo by county

Did you spend any time in the immigration processing center at Guantanamo Bay?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q34 34. Time in Guantanamo	1 YES	Count	31	13	44
	1 YES	% within COUNTY County	20.5%	20.0%	20.4%
	2 NO	Count	120	52	172
	2 NO	% within COUNTY County	79.5%	80.0%	79.6%
Total		Count	151	65	216
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	.008(b)	1	.929
Continuity Correction(a)	.000	1	1.000
Likelihood Ratio	.008	1	.929
Fisher's Exact Test				1.000	.544
Linear-by-Linear Association	.008	1	.930
N of Valid Cases	216
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 13.24.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.016	.185	.089	.929
N of Valid Cases		216
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

36. Where after Guantanamo by county

Where did you go first after being processed at Guantanamo?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q36 36. Where after Guantanamo	1 MIAMI	Count	25	8	33
	1 MIAMI	% within COUNTY County	83.3%	61.5%	76.7%
	2 OTHER PLACE IN THE U.S., SPECIFY WHERE	Count	2	3	5
	2 OTHER PLACE IN THE U.S., SPECIFY WHERE	% within COUNTY County	6.7%	23.1%	11.6%
	7 OTHER COUNTRY, SPECIFY [ASK WHICH COUNTRY]	Count	3	2	5
	7 OTHER COUNTRY, SPECIFY [ASK WHICH COUNTRY]	% within COUNTY County	10.0%	15.4%	11.6%
Total		Count	30	13	43
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	2.888(a)	2	.236
Likelihood Ratio	2.688	2	.261
Linear-by-Linear Association	.578	1	.447
N of Valid Cases	43
a 4 cells (66.7%) have expected count less than 5. The minimum expected count is 1.51.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.449	.269	1.338	.181
N of Valid Cases		43
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

37. Close relatives still living in Cuba by county

Do you have any close relatives still living in Cuba?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q37 37. Close relatives still living in Cuba	1 YES	Count	936	448	1384
	1 YES	% within COUNTY County	78.0%	74.4%	76.8%
	2 NO	Count	264	154	418
	2 NO	% within COUNTY County	22.0%	25.6%	23.2%
Total		Count	1200	602	1802
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	2.886(b)	1	.089
Continuity Correction(a)	2.689	1	.101
Likelihood Ratio	2.855	1	.091
Fisher's Exact Test				.098	.051
Linear-by-Linear Association	2.885	1	.089
N of Valid Cases	1802
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 139.64.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.099	.058	1.671	.095
N of Valid Cases		1802
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

38. Ever traveled to Cuba by county

Have you ever traveled to Cuba since you left?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q38 38. Ever traveled to Cuba	1 YES, TRAVELED	Count	390	188	578
	1 YES, TRAVELED	% within COUNTY County	36.3%	38.3%	37.0%
	2 NO	Count	683	303	986
	2 NO	% within COUNTY County	63.7%	61.7%	63.0%
Total		Count	1073	491	1564
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	.546(b)	1	.460
Continuity Correction(a)	.465	1	.495
Likelihood Ratio	.544	1	.461
Fisher's Exact Test				.464	.247
Linear-by-Linear Association	.545	1	.460
N of Valid Cases	1564
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 181.46.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.042	.056	-.736	.462
N of Valid Cases		1564
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

40. Sends money to relatives in Cuba by county

Do you or relatives send money to relatives in Cuba?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q40 40. Sends money to relatives in Cuba	1 YES	Count	630	336	966
	1 YES	% within COUNTY County	53.3%	56.7%	54.5%
	2 NO	Count	551	257	808
	2 NO	% within COUNTY County	46.7%	43.3%	45.5%
Total		Count	1181	593	1774
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	1.751(b)	1	.186
Continuity Correction(a)	1.620	1	.203
Likelihood Ratio	1.753	1	.185
Fisher's Exact Test				.189	.102
Linear-by-Linear Association	1.750	1	.186
N of Valid Cases	1774
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 270.09.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.067	.050	-1.326	.185
N of Valid Cases		1774
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

43. Language get your news in by county

Now I have a few questions about language? First, what language do you prefer to get your news in?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q43 43. Language get your news in	1 ENGLISH	Count	258	204	462
	1 ENGLISH	% within COUNTY County	21.5%	33.7%	25.6%
	2 SPANISH	Count	730	280	1010
	2 SPANISH	% within COUNTY County	60.8%	46.3%	56.0%
	3 BOTH ENGLISH AND SPANISH	Count	211	118	329
	3 BOTH ENGLISH AND SPANISH	% within COUNTY County	17.6%	19.5%	18.2%
	4 OTHER, SPECIFY	Count	1	3	4
	4 OTHER, SPECIFY	% within COUNTY County	.1%	.5%	.2%
Total		Count	1200	605	1805
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	42.587(a)	3	.000
Likelihood Ratio	41.890	3	.000
Linear-by-Linear Association	8.156	1	.004
N of Valid Cases	1805
a 2 cells (25.0%) have expected count less than 5. The minimum expected count is 1.34.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.133	.044	-3.004	.003
N of Valid Cases		1805
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

44. Home language by county

What language does your family primarily speak at home?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q44 44. Home language	1 ENGLISH	Count	126	134	260
	1 ENGLISH	% within COUNTY County	10.5%	22.1%	14.4%
	2 SPANISH	Count	898	371	1269
	2 SPANISH	% within COUNTY County	74.8%	61.1%	70.2%
	3 BOTH ABOUT THE SAME	Count	177	100	277
	3 BOTH ABOUT THE SAME	% within COUNTY County	14.7%	16.5%	15.3%
	4 OTHER LANGUAGE THAN SPANISH OR ENGLISH	Count	0	2	2
	4 OTHER LANGUAGE THAN SPANISH OR ENGLISH	% within COUNTY County	.0%	.3%	.1%
Total		Count	1201	607	1808
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	53.084(a)	3	.000
Likelihood Ratio	51.510	3	.000
Linear-by-Linear Association	11.293	1	.001
N of Valid Cases	1808
a 2 cells (25.0%) have expected count less than 5. The minimum expected count is .67.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.161	.050	-3.202	.001
N of Valid Cases		1808
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

45. Primary language spoken by county

Which language do you speak most often outside your home, English, Spanish, or both about the same?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q45 45. Primary language spoken	1 ENGLISH	Count	259	247	506
	1 ENGLISH	% within COUNTY County	21.6%	40.8%	28.0%
	2 SPANISH	Count	665	197	862
	2 SPANISH	% within COUNTY County	55.5%	32.5%	47.8%
	3 BOTH ABOUT THE SAME	Count	275	162	437
	3 BOTH ABOUT THE SAME	% within COUNTY County	22.9%	26.7%	24.2%
Total		Count	1199	606	1805
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	99.514(a)	2	.000
Likelihood Ratio	99.683	2	.000
Linear-by-Linear Association	18.222	1	.000
N of Valid Cases	1805
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 146.72.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.176	.042	-4.117	.000
N of Valid Cases		1805
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

46. Most comfortable language by county

What language are you more comfortable speaking, English or Spanish?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q46 46. Most comfortable language	1 ENGLISH	Count	181	149	330
	1 ENGLISH	% within COUNTY County	15.1%	24.6%	18.3%
	2 SPANISH	Count	871	353	1224
	2 SPANISH	% within COUNTY County	72.5%	58.3%	67.8%
	3 BOTH ABOUT THE SAME	Count	149	103	252
	3 BOTH ABOUT THE SAME	% within COUNTY County	12.4%	17.0%	14.0%
Total		Count	1201	605	1806
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	38.192(a)	2	.000
Likelihood Ratio	37.412	2	.000
Linear-by-Linear Association	3.061	1	.080
N of Valid Cases	1806
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 84.42.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.086	.049	-1.743	.081
N of Valid Cases		1806
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

47. Language understanding of others by county

In general, how tolerant and understanding are non-Spanish-speakers in South Florida of why Cuban-Americans might prefer to speak Spanish with each other? Are they almost always understanding, usually understanding, often not understanding, or almost never understanding and tolerant of people speaking Spanish to each other?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q47 47. Language understanding of others	1 ALMOST ALWAYS UNDERSTANDING	Count	388	153	541
	1 ALMOST ALWAYS UNDERSTANDING	% within COUNTY County	36.2%	27.0%	33.0%
	2 USUALLY UNDERSTANDING	Count	378	196	574
	2 USUALLY UNDERSTANDING	% within COUNTY County	35.3%	34.6%	35.0%
	3 OFTEN NOT UNDERSTANDING	Count	229	146	375
	3 OFTEN NOT UNDERSTANDING	% within COUNTY County	21.4%	25.8%	22.9%
	4 ALMOST NEVER UNDERSTANDING	Count	77	71	148
	4 ALMOST NEVER UNDERSTANDING	% within COUNTY County	7.2%	12.5%	9.0%
Total		Count	1072	566	1638
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	24.421(a)	3	.000
Likelihood Ratio	24.146	3	.000
Linear-by-Linear Association	23.943	1	.000
N of Valid Cases	1638
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 51.14.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.190	.039	4.771	.000
N of Valid Cases		1638
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

48. Been criticized for speaking Spanish? by county

As a Cuban-American have you yourself ever been criticized or given disparaging looks for speaking Spanish?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q48 48. Been criticized for speaking Spanish?	1 YES	Count	366	252	618
	1 YES	% within COUNTY County	31.2%	42.3%	34.9%
	2 NO	Count	808	344	1152
	2 NO	% within COUNTY County	68.8%	57.7%	65.1%
Total		Count	1174	596	1770
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	21.458(b)	1	.000
Continuity Correction(a)	20.972	1	.000
Likelihood Ratio	21.197	1	.000
Fisher's Exact Test				.000	.000
Linear-by-Linear Association	21.446	1	.000
N of Valid Cases	1770
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 208.09.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.236	.049	-4.551	.000
N of Valid Cases		1770
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

49. How many Cubans have not tried to learn English by county

How many Cuban-Americans living in South Florida do you think there are who have never tried to learn English. Would you say there are many, some, only a few, or no Cubans here who have never tried to learn English?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q49 49. How many Cubans have not tried to learn English	1 MANY	Count	671	354	1025
	1 MANY	% within COUNTY County	59.6%	61.6%	60.3%
	2 SOME	Count	240	111	351
	2 SOME	% within COUNTY County	21.3%	19.3%	20.6%
	3 ONLY A FEW	Count	197	92	289
	3 ONLY A FEW	% within COUNTY County	17.5%	16.0%	17.0%
	4 NONE	Count	17	18	35
	4 NONE	% within COUNTY County	1.5%	3.1%	2.1%
Total		Count	1125	575	1700
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	6.349(a)	3	.096
Likelihood Ratio	6.085	3	.108
Linear-by-Linear Association	.002	1	.964
N of Valid Cases	1700
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 11.84.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.021	.046	-.463	.643
N of Valid Cases		1700
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

50. Speaking Spanish to get job by county

In general does the ability to speak Spanish make it easier or harder to get a job in South Florida, or doesn't it make any difference?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q50 50. Speaking Spanish to get job	1 EASIER	Count	786	405	1191
	1 EASIER	% within COUNTY County	69.9%	70.2%	70.0%
	2 HARDER	Count	209	75	284
	2 HARDER	% within COUNTY County	18.6%	13.0%	16.7%
	3 NO DIFFERENCE	Count	129	97	226
	3 NO DIFFERENCE	% within COUNTY County	11.5%	16.8%	13.3%
Total		Count	1124	577	1701
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	15.320(a)	2	.000
Likelihood Ratio	15.340	2	.000
Linear-by-Linear Association	1.918	1	.166
N of Valid Cases	1701
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 76.66.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.029	.052	.566	.571
N of Valid Cases		1701
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

51. Spanish in school: immersion or bilingual by county

For children who start in school and do not know how to speak English, there are two approaches. Some think that those children should start with most of their classes in Spanish, and then shift to English only when they learn it. Others think those children should start right away with almost all their classes in English. Which do you think is better: start in Spanish or start in English?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q51 51. Spanish in school: immersion or bilingual	1 START IN SPANISH	Count	296	118	414
	1 START IN SPANISH	% within COUNTY County	26.5%	20.1%	24.3%
	2 START IN ENGLISH	Count	821	469	1290
	2 START IN ENGLISH	% within COUNTY County	73.5%	79.9%	75.7%
Total		Count	1117	587	1704
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	8.562(b)	1	.003
Continuity Correction(a)	8.218	1	.004
Likelihood Ratio	8.748	1	.003
Fisher's Exact Test				.004	.002
Linear-by-Linear Association	8.557	1	.003
N of Valid Cases	1704
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 142.62.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.178	.060	3.019	.003
N of Valid Cases		1704
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

55. Employed by county

How would you describe your present employment status? Are you employed full-time, part-time, temporarily out of work, retired, or something else?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q55 55. Employed	1 EMPLOYED FULL-TIME	Count	539	334	873
	1 EMPLOYED FULL-TIME	% within COUNTY County	45.1%	55.1%	48.5%
	2 EMPLOYED PART-TIME	Count	79	45	124
	2 EMPLOYED PART-TIME	% within COUNTY County	6.6%	7.4%	6.9%
	3 TEMP OUT OF WORK	Count	109	28	137
	3 TEMP OUT OF WORK	% within COUNTY County	9.1%	4.6%	7.6%
	4 RETIRED	Count	284	150	434
	4 RETIRED	% within COUNTY County	23.8%	24.8%	24.1%
	5 HOMEMAKER	Count	63	21	84
	5 HOMEMAKER	% within COUNTY County	5.3%	3.5%	4.7%
	6 OTHER, SPECIFY	Count	121	28	149
	6 OTHER, SPECIFY	% within COUNTY County	10.1%	4.6%	8.3%
Total		Count	1195	606	1801
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	37.115(a)	5	.000
Likelihood Ratio	39.583	5	.000
Linear-by-Linear Association	21.611	1	.000
N of Valid Cases	1801
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 28.26.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.176	.039	-4.555	.000
N of Valid Cases		1801
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

57. Own your own business by county

Do you own your own business? [IF YES] What kind of business is it?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q57 57. Own your own business	1 YES, SPECIFY	Count	124	67	191
	1 YES, SPECIFY	% within COUNTY County	18.6%	17.7%	18.3%
	2 NO	Count	543	312	855
	2 NO	% within COUNTY County	81.4%	82.3%	81.7%
Total		Count	667	379	1046
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	.135(b)	1	.713
Continuity Correction(a)	.081	1	.776
Likelihood Ratio	.135	1	.713
Fisher's Exact Test				.740	.390
Linear-by-Linear Association	.135	1	.714
N of Valid Cases	1046
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 69.21.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.031	.084	.369	.712
N of Valid Cases		1046
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

58. Work for Cuban-owned enterprise by county

Do you work for a Cuban-owned enterprise? [IF YES] What kind of business is it?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q58 58. Work for Cuban-owned enterprise	1 YES, SPECIFY	Count	132	34	166
	1 YES, SPECIFY	% within COUNTY County	24.5%	11.0%	19.6%
	2 NO	Count	406	276	682
	2 NO	% within COUNTY County	75.5%	89.0%	80.4%
Total		Count	538	310	848
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	22.996(b)	1	.000
Continuity Correction(a)	22.142	1	.000
Likelihood Ratio	24.667	1	.000
Fisher's Exact Test				.000	.000
Linear-by-Linear Association	22.969	1	.000
N of Valid Cases	848
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 60.68.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.450	.083	5.258	.000
N of Valid Cases		848
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

59. Active member of professional/civic organization by county

Are you an active member of a professional and/or civic organization?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q59 59. Active member of professional/civic organization	1 YES	Count	148	99	247
	1 YES	% within COUNTY County	12.4%	16.4%	13.7%
	2 NO	Count	1050	505	1555
	2 NO	% within COUNTY County	87.6%	83.6%	86.3%
Total		Count	1198	604	1802
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	5.532(b)	1	.019
Continuity Correction(a)	5.196	1	.023
Likelihood Ratio	5.403	1	.020
Fisher's Exact Test				.020	.012
Linear-by-Linear Association	5.529	1	.019
N of Valid Cases	1802
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 82.79.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.163	.068	-2.265	.024
N of Valid Cases		1802
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

61. Belongs to labor union? by county

Do you belong to a labor union?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q61 61. Belongs to labor union?	1 YES	Count	39	39	78
	1 YES	% within COUNTY County	3.3%	6.4%	4.3%
	2 NO	Count	1161	567	1728
	2 NO	% within COUNTY County	96.8%	93.6%	95.7%
Total		Count	1200	606	1806
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	9.888(b)	1	.002
Continuity Correction(a)	9.133	1	.003
Likelihood Ratio	9.359	1	.002
Fisher's Exact Test				.003	.002
Linear-by-Linear Association	9.883	1	.002
N of Valid Cases	1806
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 26.17.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.344	.102	-2.840	.005
N of Valid Cases		1806
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

63. Cuban neighborhood by county

Where you live, are most of your neighbors Cuban, is it mixed Cuban and non-Cuban, or are most of your neighbors not Cuban?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q63 63. Cuban neighborhood	1 CUBAN	Count	480	11	491
	1 CUBAN	% within COUNTY County	40.6%	1.8%	27.5%
	2 MIXED CUBAN AND NON-CUBAN	Count	567	271	838
	2 MIXED CUBAN AND NON-CUBAN	% within COUNTY County	48.0%	45.0%	47.0%
	3 NOT CUBAN	Count	135	320	455
	3 NOT CUBAN	% within COUNTY County	11.4%	53.2%	25.5%
Total		Count	1182	602	1784
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	491.103(a)	2	.000
Likelihood Ratio	567.602	2	.000
Linear-by-Linear Association	487.736	1	.000
N of Valid Cases	1784
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 153.54.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.826	.017	28.120	.000
N of Valid Cases		1784
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

64. Cuban co-workers by county

At your workplace, are most of your co-workers Cuban, is it mixed Cuban and non-Cuban, or are most of the workers not Cuban?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q64 64. Cuban co-workers	1 CUBAN	Count	154	68	222
	1 CUBAN	% within COUNTY County	25.4%	18.0%	22.6%
	2 MIXED CUBAN AND NON-CUBAN	Count	356	152	508
	2 MIXED CUBAN AND NON-CUBAN	% within COUNTY County	58.6%	40.3%	51.6%
	3 NOT CUBAN	Count	97	157	254
	3 NOT CUBAN	% within COUNTY County	16.0%	41.6%	25.8%
Total		Count	607	377	984
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	80.022(a)	2	.000
Likelihood Ratio	78.529	2	.000
Linear-by-Linear Association	52.409	1	.000
N of Valid Cases	984
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 85.05.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.389	.051	7.249	.000
N of Valid Cases		984
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

65. Marital status by county

What is your marital status?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q65 65. Marital status	1 MARRIED	Count	685	417	1102
	1 MARRIED	% within COUNTY County	57.1%	68.8%	61.1%
	2 SINGLE	Count	233	90	323
	2 SINGLE	% within COUNTY County	19.4%	14.9%	17.9%
	3 DIVORCED	Count	154	51	205
	3 DIVORCED	% within COUNTY County	12.8%	8.4%	11.4%
	4 WIDOWED	Count	127	48	175
	4 WIDOWED	% within COUNTY County	10.6%	7.9%	9.7%
Total		Count	1199	606	1805
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	23.631(a)	3	.000
Likelihood Ratio	24.078	3	.000
Linear-by-Linear Association	18.150	1	.000
N of Valid Cases	1805
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 58.75.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.212	.044	-4.852	.000
N of Valid Cases		1805
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

66. Spouse Cuban by county

Is your spouse Cuban?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q66 66. Spouse Cuban	1 YES	Count	549	267	816
	1 YES	% within COUNTY County	80.1%	64.2%	74.1%
	2 NO	Count	136	149	285
	2 NO	% within COUNTY County	19.9%	35.8%	25.9%
Total		Count	685	416	1101
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	34.378(b)	1	.000
Continuity Correction(a)	33.551	1	.000
Likelihood Ratio	33.695	1	.000
Fisher's Exact Test				.000	.000
Linear-by-Linear Association	34.347	1	.000
N of Valid Cases	1101
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 107.68.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.385	.060	5.677	.000
N of Valid Cases		1101
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

67. Education by county

What is the highest grade of school you have completed?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q67 67. Education	1 GRADE SCHOOL (1-8)	Count	146	51	197
	1 GRADE SCHOOL (1-8)	% within COUNTY County	12.3%	8.4%	11.0%
	2 SOME HIGH SCHOOL (9-11)	Count	112	58	170
	2 SOME HIGH SCHOOL (9-11)	% within COUNTY County	9.4%	9.6%	9.5%
	3 HIGH SCHOOL GRADUATE	Count	277	129	406
	3 HIGH SCHOOL GRADUATE	% within COUNTY County	23.3%	21.4%	22.7%
	4 SOME COLLEGE (INCLUDES ASSOCIATE DEGREE)	Count	179	108	287
	4 SOME COLLEGE (INCLUDES ASSOCIATE DEGREE)	% within COUNTY County	15.1%	17.9%	16.0%
	5 TECHNICAL OR VOCATIONAL SCHOOL	Count	72	29	101
	5 TECHNICAL OR VOCATIONAL SCHOOL	% within COUNTY County	6.1%	4.8%	5.6%
	6 COLLEGE GRADUATE (FOUR YEAR DEGREE ONLY)	Count	292	163	455
	6 COLLEGE GRADUATE (FOUR YEAR DEGREE ONLY)	% within COUNTY County	24.6%	27.0%	25.4%
	7 COMPLETED GRADUATE DEGREE (MA, PHD, MD)	Count	110	66	176
	7 COMPLETED GRADUATE DEGREE (MA, PHD, MD)	% within COUNTY County	9.3%	10.9%	9.8%
Total		Count	1188	604	1792
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	11.232(a)	6	.081
Likelihood Ratio	11.453	6	.075
Linear-by-Linear Association	5.328	1	.021
N of Valid Cases	1792
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 34.04.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.080	.034	2.352	.019
N of Valid Cases		1792
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

69. U.S. citizen by county

Are you a U.S. citizen?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q69 69. U.S. citizen	1 YES	Count	803	496	1299
	1 YES	% within COUNTY County	66.9%	81.8%	71.9%
	2 NO	Count	398	110	508
	2 NO	% within COUNTY County	33.1%	18.2%	28.1%
Total		Count	1201	606	1807
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	44.766(b)	1	.000
Continuity Correction(a)	44.027	1	.000
Likelihood Ratio	47.014	1	.000
Fisher's Exact Test				.000	.000
Linear-by-Linear Association	44.741	1	.000
N of Valid Cases	1807
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 170.36.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.382	.052	-7.180	.000
N of Valid Cases		1807
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

70. Registered to vote by county

Are you registered to vote?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q70 70. Registered to vote	1 YES	Count	725	456	1181
	1 YES	% within COUNTY County	90.3%	92.5%	91.1%
	2 NO	Count	78	37	115
	2 NO	% within COUNTY County	9.7%	7.5%	8.9%
Total		Count	803	493	1296
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)	Exact Sig. (2-sided)	Exact Sig. (1-sided)
Pearson Chi-Square	1.843(b)	1	.175
Continuity Correction(a)	1.580	1	.209
Likelihood Ratio	1.881	1	.170
Fisher's Exact Test				.191	.104
Linear-by-Linear Association	1.841	1	.175
N of Valid Cases	1296
a Computed only for a 2x2 table
b 0 cells (.0%) have expected count less than 5. The minimum expected count is 43.75.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.140	.102	-1.396	.163
N of Valid Cases		1296
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

71. Republican, Democrat, or Independent by county

Are you registered as a Republican, a Democrat, an Independent, or with some other party?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q71 71. Republican, Democrat, or Independent	1 REPUBLICAN	Count	477	269	746
	1 REPUBLICAN	% within COUNTY County	69.0%	63.0%	66.7%
	2 DEMOCRAT	Count	118	98	216
	2 DEMOCRAT	% within COUNTY County	17.1%	23.0%	19.3%
	3 INDEPENDENT	Count	89	56	145
	3 INDEPENDENT	% within COUNTY County	12.9%	13.1%	13.0%
	4 OTHER, SPECIFY	Count	7	4	11
	4 OTHER, SPECIFY	% within COUNTY County	1.0%	.9%	1.0%
Total		Count	691	427	1118
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	6.180(a)	3	.103
Likelihood Ratio	6.098	3	.107
Linear-by-Linear Association	1.736	1	.188
N of Valid Cases	1118
a 1 cells (12.5%) have expected count less than 5. The minimum expected count is 4.20.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.103	.057	1.759	.078
N of Valid Cases		1118
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

72. 2004 Presidential Election by county

Thinking ahead to this year's presidential election, will you definitely vote for George W. Bush, will you probably vote for him, are you undecided, will you probably not vote for George W.Bush, or will you definitely not vote for him?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q72 2004 presidential election	1 definitely for Bush	Count	346	193	539
	1 definitely for Bush	% within COUNTY County	48.2%	42.5%	46.0%
	2 probably for Bush	Count	74	45	119
	2 probably for Bush	% within COUNTY County	10.3%	9.9%	10.2%
	3 undecided	Count	180	120	300
	3 undecided	% within COUNTY County	25.1%	26.4%	25.6%
	4 probably not for Bush	Count	33	15	48
	4 probably not for Bush	% within COUNTY County	4.6%	3.3%	4.1%
	5 definitely not for Bush	Count	85	81	166
	5 definitely not for Bush	% within COUNTY County	11.8%	17.8%	14.2%
Total		Count	718	454	1172
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	10.404(a)	4	.034
Likelihood Ratio	10.287	4	.036
Linear-by-Linear Association	6.799	1	.009
N of Valid Cases	1172
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 18.59.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.113	.046	2.403	.016
N of Valid Cases		1172
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

73. Admin current policy toward Cuba by county

Over the past year has the Bush administration been doing a better job, about the same, or a worse job in dealing with Cuba than before?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q73 73. Admin current policy toward Cuba	1 BETTER	Count	325	130	455
	1 BETTER	% within COUNTY County	31.6%	24.8%	29.3%
	2 ABOUT THE SAME	Count	562	312	874
	2 ABOUT THE SAME	% within COUNTY County	54.7%	59.5%	56.4%
	3 WORSE	Count	140	82	222
	3 WORSE	% within COUNTY County	13.6%	15.6%	14.3%
Total		Count	1027	524	1551
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	7.944(a)	2	.019
Likelihood Ratio	8.074	2	.018
Linear-by-Linear Association	6.566	1	.010
N of Valid Cases	1551
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 75.00.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.127	.047	2.677	.007
N of Valid Cases		1551
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

74. Congressional delegation by county

There are four Cuban American Representatives in the U.S. Congress. On issues dealing with Cuba they all seem to be in agreement. How good a job are they doing in representing your views on Cuba policy in Washington? A very good job, a mostly good job, a mostly bad job, or a very bad job representing your views? [INTERVIEWER, READ NAMES ONLY IF ASKED. [Bob Menendez, Iliana Ros-Lehtinen, Lincoln Diaz-Balart and Mario Diaz Balart] IF RESPONSE IS MOSTLY OR VERY BAD, ASK: What is your reason for feeling this way?]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q74 74. Congressional delegation	1 VERY GOOD JOB	Count	418	192	610
	1 VERY GOOD JOB	% within COUNTY County	41.6%	39.9%	41.0%
	2 MOSTLY GOOD JOB	Count	441	210	651
	2 MOSTLY GOOD JOB	% within COUNTY County	43.9%	43.7%	43.8%
	3 MOSTLY BAD JOB (ASK WHY)	Count	93	50	143
	3 MOSTLY BAD JOB (ASK WHY)	% within COUNTY County	9.3%	10.4%	9.6%
	4 VERY BAD JOB (ASK WHY)	Count	53	29	82
	4 VERY BAD JOB (ASK WHY)	% within COUNTY County	5.3%	6.0%	5.5%
Total		Count	1005	481	1486
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	1.003(a)	3	.801
Likelihood Ratio	.993	3	.803
Linear-by-Linear Association	.888	1	.346
N of Valid Cases	1486
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 26.54.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.040	.047	.862	.389
N of Valid Cases		1486
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

75. Ag trade with Cuba by county

Some U.S. companies have managed to establish limited business relations with Cuba to sell grain and other agricultural products. Should this kind of trade be expanded, kept the same or stopped

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q75 75. Ag trade with Cuba	1 EXPANDED	Count	269	176	445
	1 EXPANDED	% within COUNTY County	25.5%	32.2%	27.8%
	2 KEPT THE SAME	Count	239	123	362
	2 KEPT THE SAME	% within COUNTY County	22.7%	22.5%	22.6%
	3 STOPPED	Count	547	248	795
	3 STOPPED	% within COUNTY County	51.8%	45.3%	49.6%
Total		Count	1055	547	1602
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	8.864(a)	2	.012
Likelihood Ratio	8.780	2	.012
Linear-by-Linear Association	8.621	1	.003
N of Valid Cases	1602
a 0 cells (.0%) have expected count less than 5. The minimum expected count is 123.60.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	-.128	.044	-2.865	.004
N of Valid Cases		1602
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

76. Race by county

What is your racial group - is it White, Black, Mulatto, Asian, or something else?

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q76 76. Race	1 WHITE	Count	1111	557	1668
	1 WHITE	% within COUNTY County	93.7%	92.4%	93.2%
	2 BLACK	Count	12	6	18
	2 BLACK	% within COUNTY County	1.0%	1.0%	1.0%
	3 MULATTO	Count	40	22	62
	3 MULATTO	% within COUNTY County	3.4%	3.6%	3.5%
	4 ASIAN	Count	1	2	3
	4 ASIAN	% within COUNTY County	.1%	.3%	.2%
	5 OTHER, SPECIFY	Count	22	16	38
	5 OTHER, SPECIFY	% within COUNTY County	1.9%	2.7%	2.1%
Total		Count	1186	603	1789
Total		% within COUNTY County	100.0%	100.0%	100.0%

**Chi-Square Tests**
	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	2.820(a)	4	.588
Likelihood Ratio	2.673	4	.614
Linear-by-Linear Association	1.681	1	.195
N of Valid Cases	1789
a 2 cells (20.0%) have expected count less than 5. The minimum expected count is 1.01.

**Symmetric Measures**
		Value	Asymp. Std. Error(a)	Approx. T(b)	Approx. Sig.
Ordinal by Ordinal	Gamma	.101	.094	1.039	.299
N of Valid Cases		1789
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.

77. Total annual household income by county

Now, we don't want your exact income, but could you tell me if your total annual household income -- from all members of your household - before taxes is... [FOR EXAMPLE, IF RESPONDENT SAYS $30,000, CHOOSE 2 INSTEAD OF 3; $50,000, CHOOSE 3 INSTEAD OF 4]

**Crosstab**
			COUNTY County		Total
			1.00 Miami-Dade	2.00 Broward	Total
Q77 77. Total annual household income	1 under $20,000?	Count