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Simple Bar Chart (Frequencies) from SQLite (SimpleBarChartDesign)
Simple Bar Chart (Frequencies) (SimpleBarChartDesign)
Simple Bar Chart (Percents) (SimpleBarChartDesign)
Simple Bar Chart (Averages) (SimpleBarChartDesign)
Simple Bar Chart (Sums) (SimpleBarChartDesign)
Simple Bar Chart (Wide) (SimpleBarChartDesign)
Multi-Chart Bar Chart (MultiChartBarChartDesign)
Clustered Bar Chart (ClusteredBarChartDesign)
Multi Chart Clustered Bar Chart (MultiChartClusteredBarChartDesign)
Multi Chart Clustered Bar Chart (Percents) (MultiChartClusteredBarChartDesign)
Line Chart (LineChartDesign)
Line Chart Time Series (LineChartDesign)
Line Chart Time Series (Rotated Labels) (LineChartDesign)
Multi-Line Chart (MultiLineChartDesign)
Multi Chart Line Chart (MultiChartLineChartDesign)
Multi-Chart Multi-Line Chart (MultiChartMultiLineChartDesign)
Multi-Chart Multi-Line Chart Time Series (MultiChartMultiLineChartDesign)
Area Chart (AreaChartDesign)
Multi-Chart Area Chart (MultiChartAreaChartDesign)
Pie Chart (PieChartDesign)
Multi-Chart Pie Chart (MultiChartPieChartDesign)
Single Series Scatterplot (SimpleScatterChartDesign)
Multi-Series Scatterplot (BySeriesScatterChartDesign)
Multi-Chart Scatterplot (MultiChartScatterChartDesign)
Multi-Chart Multi-Series Scatterplot (MultiChartBySeriesScatterChartDesign)
Histogram Chart (HistogramChartDesign)
Multi Chart Histogram Chart (MultiChartHistogramChartDesign)
Boxplot (BoxplotChartDesign)
Boxplot (narrow) (BoxplotChartDesign)
Boxplot (very wide) (BoxplotChartDesign)
Multi-Series Boxplot (ClusteredBoxplotChartDesign)
ANOVA (AnovaDesign)
Chi Square Test (ChiSquareDesign)
Kruskal-Wallis H Test (KruskalWallisHDesign)
Mann-Whitney U (MannWhitneyUDesign)
Normality Test (NormalityDesign)
Pearson's R Test (PearsonsRDesign)
Spearman's R Test (SpearmansRDesign)
Independent T-Test (TTestIndepDesign)
Paired T-Test (TTestPairedDesign)
Wilcoxon Signed Ranks (WilcoxonSignedRanksDesign)
Cross Tab from SQLite (Filtered by Car) (CrossTabDesign)
Cross Tab from SQLite (CrossTabDesign)
Cross Tab (CrossTabDesign)
Cross Tab (Repeated Levels) (CrossTabDesign)
Frequency Table (FrequencyTableDesign)

Simple Bar Chart (Frequencies) from SQLite (SimpleBarChartDesign)

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Simple Bar Chart (Frequencies) (SimpleBarChartDesign)

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Simple Bar Chart (Percents) (SimpleBarChartDesign)

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Simple Bar Chart (Averages) (SimpleBarChartDesign)

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Simple Bar Chart (Sums) (SimpleBarChartDesign)

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Simple Bar Chart (Wide) (SimpleBarChartDesign)

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Multi-Chart Bar Chart (MultiChartBarChartDesign)

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Country: USA

Country: NZ

Country: South Korea

Country: Denmark

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Clustered Bar Chart (ClusteredBarChartDesign)

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Country:

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Multi Chart Clustered Bar Chart (MultiChartClusteredBarChartDesign)

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Tertiary Qualifications: No Qualifications

Country:

Tertiary Qualifications: Undergraduate

Country:

Tertiary Qualifications: Postgraduate

Country:

"

Multi Chart Clustered Bar Chart (Percents) (MultiChartClusteredBarChartDesign)

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Tertiary Qualifications: No Qualifications

Country:

Tertiary Qualifications: Undergraduate

Country:

Tertiary Qualifications: Postgraduate

Country:

"

Line Chart (LineChartDesign)

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Line Chart Time Series (LineChartDesign)

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Line Chart Time Series (Rotated Labels) (LineChartDesign)

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Multi-Line Chart (MultiLineChartDesign)

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Country:

"

Multi Chart Line Chart (MultiChartLineChartDesign)

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Country: USA

Country: NZ

Country: South Korea

Country: Denmark

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Multi-Chart Multi-Line Chart (MultiChartMultiLineChartDesign)

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Age Group: <20

Country:

Age Group: 20 to <30

Country:

Age Group: 30 to <40

Country:

Age Group: 40 to <50

Country:

Age Group: 50 to <60

Country:

Age Group: 60 to <70

Country:

Age Group: 70 to <80

Country:

Age Group: 80+

Country:

"

Multi-Chart Multi-Line Chart Time Series (MultiChartMultiLineChartDesign)

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Age Group: <20

Country:

Age Group: 20 to <30

Country:

Age Group: 30 to <40

Country:

Age Group: 40 to <50

Country:

Age Group: 50 to <60

Country:

Age Group: 60 to <70

Country:

Age Group: 70 to <80

Country:

Age Group: 80+

Country:

"

Area Chart (AreaChartDesign)

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Multi-Chart Area Chart (MultiChartAreaChartDesign)

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Country: USA

Country: NZ

Country: South Korea

Country: Denmark

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Pie Chart (PieChartDesign)

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Multi-Chart Pie Chart (MultiChartPieChartDesign)

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Country: USA

Country: NZ

Country: South Korea

Country: Denmark

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Single Series Scatterplot (SimpleScatterChartDesign)

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Multi-Series Scatterplot (BySeriesScatterChartDesign)

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Country:

"

Multi-Chart Scatterplot (MultiChartScatterChartDesign)

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Country: USA

Country: NZ

Country: South Korea

Country: Denmark

"

Multi-Chart Multi-Series Scatterplot (MultiChartBySeriesScatterChartDesign)

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Country: USA

Home Location Type:

Country: NZ

Home Location Type:

Country: South Korea

Home Location Type:

Country: Denmark

Home Location Type:

"

Histogram Chart (HistogramChartDesign)

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Multi Chart Histogram Chart (MultiChartHistogramChartDesign)

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USA

NZ

South Korea

Denmark

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Boxplot (BoxplotChartDesign)

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Boxplot (narrow) (BoxplotChartDesign)

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Boxplot (very wide) (BoxplotChartDesign)

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Multi-Series Boxplot (ClusteredBoxplotChartDesign)

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Home Location Type:

"

ANOVA (AnovaDesign)

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Results of ANOVA test of average "Age" for "Country" groups: "USA", "NZ", "South Korea"

Analysis of variance table

Source Sum of Squares df Mean Sum of Squares F p1
Between 1,516.256 2 758.128 1.259 0.2841
Within 2,566,409.440 4,261 602.302

O'Brien's test for homogeneity of variance: 0.53252

Group summary details

Group N Mean CI 95%3 Standard Deviation4 Min Max Kurtosis5 Skew6 p abnormal7
2,227 46.215 45.193 - 47.237 8.0 99.0 -0.987 0.289 Unable to calculate overall p for normality test
897 47.074 45.483 - 48.664 8.0 99.0 -0.931 0.281 Unable to calculate overall p for normality test
1,140 45.343 43.915 - 46.771 8.0 99.0 -0.891 0.403 Unable to calculate overall p for normality test

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a difference between at least two groups. Note: a statistically significant difference may not necessarily be of any practical significance.

This is a one-tailed result i.e. based on the likelihood of a difference in one particular direction

2If the value is small, e.g. less than 0.01, or 0.001, you can assume there is a difference in variance.

3There is a 95% chance the population mean is within the confidence interval calculated for this sample. Don't forget, of course, that the population mean could lie well outside the interval bounds. Note - many statisticians argue about the best wording for this conclusion.

4Standard Deviation measures the spread of values.

5Kurtosis measures the peakedness or flatness of values. Between -2 and 2 means kurtosis is unlikely to be a problem. Between -1 and 1 means kurtosis is quite unlikely to be a problem.

6Skew measures the lopsidedness of values. Between -2 and 2 means skew is unlikely to be a problem. Between -1 and 1 means skew is quite unlikely to be a problem.

7This provides a single measure of normality. If p is small, e.g. less than 0.01, or 0.001, you can assume the distribution is not strictly normal. Note - it may be normal enough though.

No worked example available for this test

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Chi Square Test (ChiSquareDesign)

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Results of Pearson's Chi Square Test of Association Between "Age Group" and "Country"

p value 0.30981

Pearson's Chi Square statistic: 23.66

Degrees of Freedom (df) 21

Country
USA NZ South Korea Denmark TOTAL
ObsExp ObsExp ObsExp ObsExp ObsExp
Age Group <20 384374.6 140150.9 199191.7 118123.8 841841.0
20 to <30 300307.3 125123.8 163157.3 102101.6 690690.0
30 to <40 298297.1 109119.7 163152.1 9798.2 667667.0
40 to <50 292300.2 131120.9 162153.7 8999.2 674674.0
50 to <60 282287.3 124115.7 131147.1 10894.9 645645.0
60 to <70 178181.3 7273.0 8492.8 7359.9 407407.0
70 to <80 221197.8 6879.7 89101.2 6665.4 444444.0
80+ 272281.5 128113.4 149144.1 8393.0 632632.0
TOTAL 22272227.0 897897.0 11401140.0 736736.0 50005000.0

Minimum expected cell count: 59.91

% cells with expected count < 5: 0.0

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship between "Age Group" and "Country". Note: a statistically significant difference may not necessarily be of any practical significance.

This is a one-tailed result i.e. based on the likelihood of a difference in one particular direction

Worked Example of Key Calculations

Step 1 - Calculate row and column sums

Row sums

Row 1 Total: 384 + 140 + 199 + 118 = 841

Row 2 Total: 300 + 125 + 163 + 102 = 690

Row 3 Total: 298 + 109 + 163 + 97 = 667

Row 4 Total: 292 + 131 + 162 + 89 = 674

Row 5 Total: 282 + 124 + 131 + 108 = 645

Row 6 Total: 178 + 72 + 84 + 73 = 407

Row 7 Total: 221 + 68 + 89 + 66 = 444

Row 8 Total: 272 + 128 + 149 + 83 = 632

Column sums

Col 1 Total: 384 + 300 + 298 + 292 + 282 + 178 + 221 + 272 = 2,227

Col 2 Total: 140 + 125 + 109 + 131 + 124 + 72 + 68 + 128 = 897

Col 3 Total: 199 + 163 + 163 + 162 + 131 + 84 + 89 + 149 = 1,140

Col 4 Total: 118 + 102 + 97 + 89 + 108 + 73 + 66 + 83 = 736

Step 2 - Calculate expected values per cell

Multiply row and column sums for cell and divide by grand total

Row 1, Col 1: (841 x 2,227) /5,000 = 374.581

Row 2, Col 1: (690 x 2,227) /5,000 = 307.326

Row 3, Col 1: (667 x 2,227) /5,000 = 297.082

Row 4, Col 1: (674 x 2,227) /5,000 = 300.2

Row 5, Col 1: (645 x 2,227) /5,000 = 287.283

Row 6, Col 1: (407 x 2,227) /5,000 = 181.278

Row 7, Col 1: (444 x 2,227) /5,000 = 197.758

Row 8, Col 1: (632 x 2,227) /5,000 = 281.493

Row 1, Col 2: (841 x 897) /5,000 = 150.875

Row 2, Col 2: (690 x 897) /5,000 = 123.786

Row 3, Col 2: (667 x 897) /5,000 = 119.66

Row 4, Col 2: (674 x 897) /5,000 = 120.916

Row 5, Col 2: (645 x 897) /5,000 = 115.713

Row 6, Col 2: (407 x 897) /5,000 = 73.016

Row 7, Col 2: (444 x 897) /5,000 = 79.654

Row 8, Col 2: (632 x 897) /5,000 = 113.381

Row 1, Col 3: (841 x 1,140) /5,000 = 191.748

Row 2, Col 3: (690 x 1,140) /5,000 = 157.32

Row 3, Col 3: (667 x 1,140) /5,000 = 152.076

Row 4, Col 3: (674 x 1,140) /5,000 = 153.672

Row 5, Col 3: (645 x 1,140) /5,000 = 147.06

Row 6, Col 3: (407 x 1,140) /5,000 = 92.796

Row 7, Col 3: (444 x 1,140) /5,000 = 101.232

Row 8, Col 3: (632 x 1,140) /5,000 = 144.096

Row 1, Col 4: (841 x 736) /5,000 = 123.795

Row 2, Col 4: (690 x 736) /5,000 = 101.568

Row 3, Col 4: (667 x 736) /5,000 = 98.182

Row 4, Col 4: (674 x 736) /5,000 = 99.213

Row 5, Col 4: (645 x 736) /5,000 = 94.944

Row 6, Col 4: (407 x 736) /5,000 = 59.91

Row 7, Col 4: (444 x 736) /5,000 = 65.357

Row 8, Col 4: (632 x 736) /5,000 = 93.03

Step 3 - Calculate the differences between observed and expected per cell, square them, and divide by expected value

Row 1, Col 1: (384 - 374.581)2 / 374.581 = (374.581)2 / 374.581 = 88.718 / 374.581 = 0.237

Row 2, Col 1: (307.326 - 300)2 / 307.326 = (307.326)2 / 307.326 = 53.67 / 307.326 = 0.175

Row 3, Col 1: (298 - 297.082)2 / 297.082 = (297.082)2 / 297.082 = 0.843 / 297.082 = 0.003

Row 4, Col 1: (300.2 - 292)2 / 300.2 = (300.2)2 / 300.2 = 67.24 / 300.2 = 0.224

Row 5, Col 1: (287.283 - 282)2 / 287.283 = (287.283)2 / 287.283 = 27.91 / 287.283 = 0.097

Row 6, Col 1: (181.278 - 178)2 / 181.278 = (181.278)2 / 181.278 = 10.745 / 181.278 = 0.059

Row 7, Col 1: (221 - 197.758)2 / 197.758 = (197.758)2 / 197.758 = 540.191 / 197.758 = 2.732

Row 8, Col 1: (281.493 - 272)2 / 281.493 = (281.493)2 / 281.493 = 90.117 / 281.493 = 0.32

Row 1, Col 2: (150.875 - 140)2 / 150.875 = (150.875)2 / 150.875 = 118.266 / 150.875 = 0.784

Row 2, Col 2: (125 - 123.786)2 / 123.786 = (123.786)2 / 123.786 = 1.474 / 123.786 = 0.012

Row 3, Col 2: (119.66 - 109)2 / 119.66 = (119.66)2 / 119.66 = 113.636 / 119.66 = 0.95

Row 4, Col 2: (131 - 120.916)2 / 120.916 = (120.916)2 / 120.916 = 101.687 / 120.916 = 0.841

Row 5, Col 2: (124 - 115.713)2 / 115.713 = (115.713)2 / 115.713 = 68.674 / 115.713 = 0.593

Row 6, Col 2: (73.016 - 72)2 / 73.016 = (73.016)2 / 73.016 = 1.032 / 73.016 = 0.014

Row 7, Col 2: (79.654 - 68)2 / 79.654 = (79.654)2 / 79.654 = 135.816 / 79.654 = 1.705

Row 8, Col 2: (128 - 113.381)2 / 113.381 = (113.381)2 / 113.381 = 213.715 / 113.381 = 1.885

Row 1, Col 3: (199 - 191.748)2 / 191.748 = (191.748)2 / 191.748 = 52.592 / 191.748 = 0.274

Row 2, Col 3: (163 - 157.32)2 / 157.32 = (157.32)2 / 157.32 = 32.262 / 157.32 = 0.205

Row 3, Col 3: (163 - 152.076)2 / 152.076 = (152.076)2 / 152.076 = 119.334 / 152.076 = 0.785

Row 4, Col 3: (162 - 153.672)2 / 153.672 = (153.672)2 / 153.672 = 69.356 / 153.672 = 0.451

Row 5, Col 3: (147.06 - 131)2 / 147.06 = (147.06)2 / 147.06 = 257.924 / 147.06 = 1.754

Row 6, Col 3: (92.796 - 84)2 / 92.796 = (92.796)2 / 92.796 = 77.37 / 92.796 = 0.834

Row 7, Col 3: (101.232 - 89)2 / 101.232 = (101.232)2 / 101.232 = 149.622 / 101.232 = 1.478

Row 8, Col 3: (149 - 144.096)2 / 144.096 = (144.096)2 / 144.096 = 24.049 / 144.096 = 0.167

Row 1, Col 4: (123.795 - 118)2 / 123.795 = (123.795)2 / 123.795 = 33.582 / 123.795 = 0.271

Row 2, Col 4: (102 - 101.568)2 / 101.568 = (101.568)2 / 101.568 = 0.187 / 101.568 = 0.002

Row 3, Col 4: (98.182 - 97)2 / 98.182 = (98.182)2 / 98.182 = 1.397 / 98.182 = 0.014

Row 4, Col 4: (99.213 - 89)2 / 99.213 = (99.213)2 / 99.213 = 104.305 / 99.213 = 1.051

Row 5, Col 4: (108 - 94.944)2 / 94.944 = (94.944)2 / 94.944 = 170.459 / 94.944 = 1.795

Row 6, Col 4: (73 - 59.91)2 / 59.91 = (59.91)2 / 59.91 = 171.348 / 59.91 = 2.86

Row 7, Col 4: (66 - 65.357)2 / 65.357 = (65.357)2 / 65.357 = 0.413 / 65.357 = 0.006

Row 8, Col 4: (93.03 - 83)2 / 93.03 = (93.03)2 / 93.03 = 100.601 / 93.03 = 1.081

Step 4 - Add up all the results to get Χ2

0.237 + 0.175 + 0.003 + 0.224 + 0.097 + 0.059 + 2.732 + 0.32 + 0.784 + 0.012 + 0.95 + 0.841 + 0.593 + 0.014 + 1.705 + 1.885 + 0.274 + 0.205 + 0.785 + 0.451 + 1.754 + 0.834 + 1.478 + 0.167 + 0.271 + 0.002 + 0.014 + 1.051 + 1.795 + 2.86 + 0.006 + 1.081 = 23.660201870481373

Step 5 - Calculate degrees of freedom

N rows - 1 multiplied by N columns - 1

(8 - 1) x (4 - 1) = 7 x 3 = 21

The only remaining question is the probability of a Chi Square value that size occurring for a given degrees of freedom value

Interpreting the Proportions chart - look at the "All combined" category - the more different the other 'Age Group' categories look from this the more likely the Chi Square test will detect a difference. Within each 'Country' category the 'Country' values add up to 1 i.e. 100%. This is not the same way of displaying data as a clustered bar chart although the similarity can be confusing.

"

Kruskal-Wallis H Test (KruskalWallisHDesign)

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Results of Kruskal-Wallis H test of average "Age" for "Country" groups from "USA" to "South Korea"

p value: 0.21791

Kruskal-Wallis H statistic: 3.047

Degrees of Freedom (df): 2

Group N Median Min Max
2,227 45.000 8.000 99.000
897 45.000 8.000 99.000
1,140 42.000 8.000 99.000

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a difference between at least two groups. Note: a statistically significant difference may not necessarily be of any practical significance.

This is a one-tailed result i.e. based on the likelihood of a difference in one particular direction

No worked example available for this test

"

Mann-Whitney U (MannWhitneyUDesign)

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Results of Mann-Whitney U Test of "Weight Time 1" for "Country" groups "South Korea" and "NZ"

Two-tailed p value: 0.01659 1

U statistic: 479718.0 2

z: 2.396

Group summary details

Group N Median Avg Rank Min Max
1,140 94.010 991.305 65.45 104.64
897 94.250 1,054.197 67.03 102.75

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship between "South Korea" and "NZ". Note: a statistically significant difference may not necessarily be of any practical significance.

This is a two-tailed result i.e. based on the likelihood of a difference where the direction ("South Korea" higher than "NZ" or "NZ" higher than "South Korea") doesn't matter.

2U is based on the results of matches between the "South Korea" and "NZ" groups. In each match,
the winner is the one with the highest "Weight Time 1" (in a draw, each group gets half a point which is
why U can sometimes end in .5). The further the number is away from an even result
i.e. half the number of possible matches (i.e. half of 1140 x 897 in this case i.e. 511290.0)
the more unlikely the difference is by chance alone and the more statistically significant it is.

Worked Example of Key Calculations

Note - the method shown below is based on ranked values of the data as a whole, not on every possible comparison - but the result is exactly the same. Working with ranks is much more efficient.

Step 1 - Add ranks to all values

Note on ranking - rank such that all examples of a value get the median rank for all items of that value.

If calculating by hand, and one sample is shorter than the others, make that the first sample to reduce the number of calculations

For the rest of this worked example, sample 1 is "NZ" and sample 2 is South Korea".

Sample Value Counter Rank
2 65.45 1 1.0
1 67.03 2 2.0
1 68.2 3 3.0
2 68.38 4 4.0
2 68.7 5 5.0
2 69.21 6 6.0
1 69.46 7 7.0
1 70.3 8 8.0
1 70.37 9 9.0
2 70.52 10 10.0
2 70.85 11 11.0
2 70.91 12 12.0
2 71.43 13 13.0
2 71.58 14 14.0
1 71.65 15 15.0
1 72.11 16 16.0
2 72.37 17 17.0
2 72.38 18 18.0
1 72.51 19 19.0
2 72.74 20 20.0
2 73.05 21 21.0
2 73.07 22 22.0
1 73.11 23 23.0
2 73.29 24 24.0
2 73.54 25 25.0
1 73.62 26 26.0
1 73.67 27 27.0
1 73.93 28 28.0
1 73.98 29 29.0
1 74.06 30 30.0
1 74.08 31 31.0
1 74.29 32 32.5
2 74.29 33 32.5
2 74.32 34 34.0
2 74.33 35 35.0
2 74.41 36 36.0
2 74.43 37 37.0
1 74.48 38 38.0
2 74.53 39 39.0
2 74.54 40 40.0
1 74.6 41 41.0
1 74.72 42 42.0
1 74.74 43 43.0
1 74.92 44 44.5
2 74.92 45 44.5
2 74.93 46 46.0
1 74.97 47 47.0
2 74.98 48 48.5
2 74.98 49 48.5
2 75.22 50 50.0
1,987 rows not displayed

Step 2 - Sum the ranks for sample 1

sum_ranks1 = 2.0 + 3.0 + 7.0 + 8.0 + 9.0 + 15.0 + 16.0 + 19.0 + 23.0 + 26.0 + 27.0 + 28.0 + 29.0 + 30.0 + 31.0 + 32.5 + 38.0 + 41.0 + 42.0 + 43.0 + 44.5 + 47.0 + 54.0 + 58.0 + 66.0 + 67.0 + 69.0 + 70.0 + 71.0 + 72.0 + 73.5 + 76.0 + 77.0 + 78.0 + 80.0 + 81.0 + 85.0 + 89.0 + 92.5 + 92.5 + 94.0 + 97.0 + 98.0 + 100.0 + 102.0 + 105.0 + 107.0 + 115.0 + 116.0 + 117.0 + 847 other values not displayed i.e. 945,615.0

Step 3 - Calculate U for sample 1 as per:

u1 = n1*n2 + ((n1*(n1 + 1))/2.0) - sum_ranks1

u1 = 897*1,140 + (897*(1,140+1))/2 - 945,615.0 i.e. 479,718.0

Step 4 - Calculate U for sample 2 as per:

u2 = n1*n2 - u1

u2 = 897*1,140 - 479,718.0 i.e. 542,862.0

Step 5 - Identify the lowest of the U values

The lowest value of 479,718.0 and 542,862.0 is 479,718.0

After this, you would use the N values and other methods to see if the value for U is likely to happen by chance but that is outside of the scope of this worked example.

"

Normality Test (NormalityDesign)

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Normality Tests for Difference Between "Age" and "Weight Time 2"

Rely on visual inspection of graph to assess normality.

Although the data failed the ideal normality test, most real-world data-sets with as many results (5,000) would fail for even slight differences from the perfect normal curve.

Skew (lopsidedness) is 0.52 which is probably a great sign.

Kurtosis (peakedness or flatness) is -0.598 which is probably a great sign.

"

Pearson's R Test (PearsonsRDesign)

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Results of Pearson's Test of Linear Correlation for "Age" vs "Weight Time 1"

Two-tailed p value: < 0.001 (0.000) 1

Pearson's R statistic: 0.631

Degrees of Freedom (df): 4998

Linear Regression Details: 2

No worked example available for this test

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship between "Age" and "Weight Time 1". Note: a statistically significant difference may not necessarily be of any practical significance.

This is a one-tailed result i.e. based on the likelihood of a difference in one particular direction

2Always look at the scatter plot when interpreting the linear regression line.

"

Spearman's R Test (SpearmansRDesign)

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Results of Spearman's Test of Linear Correlation for "Age" vs "Weight Time 1"

Two-tailed p value: < 0.001 (0.000) 1

Spearman's R statistic: 0.661

Degrees of Freedom (df): 4998

Linear Regression Details: 2

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship between "Age" and "Weight Time 1". Note: a statistically significant difference may not necessarily be of any practical significance.

This is a two-tailed result i.e. based on the likelihood of a difference where the direction doesn't matter.

2Always look at the scatter plot when interpreting the linear regression line.

Worked Example of Key Calculations

Step 1 - Set up table of paired results

Age Weight Time 1
22.091.09
19.090.53
8.071.61
44.096.95
71.094.16
22.092.75
45.096.51
37.093.99
52.092.45
59.096.02
82.093.3
50.091.4
63.092.99
11.073.67
52.099.58
57.095.05
85.095.34
96.092.35
12.078.63
49.094.71
23.092.42
50.094.44
30.092.15
71.094.68
46.096.6
52.094.8
38.091.2
47.093.06
66.096.18
12.075.78
20.094.61
56.094.86
84.094.86
15.083.43
79.096.28
26.091.54
36.090.79
75.095.77
66.093.83
63.094.47
57.096.52
73.098.51
18.090.47
81.094.6
39.092.35
52.086.66
20.091.73
8.071.03
74.097.72
23.088.41
4,950 rows not displayed

Step 2 - Work out ranks for the x and y values

Rank such that all examples of a value get the mean rank for all items of that value

Age Rank within
Weight Time 1
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
8.031.5
4,950 rows not displayed

Do the same for Weight Time 1 values

Weight Time 1 Rank within
Weight Time 1
65.451.0
65.872.0
67.033.0
67.284.0
67.445.0
67.986.0
68.137.0
68.28.0
68.389.0
68.710.0
68.7311.0
69.2112.0
69.4613.0
69.8914.0
69.9115.0
69.9416.0
70.317.0
70.3718.0
70.3919.0
70.520.0
70.5221.0
70.8522.0
70.9123.0
70.9924.0
71.025.0
71.0326.0
71.227.0
71.3328.0
71.4329.0
71.5830.0
71.6131.0
71.6532.0
71.7433.5
71.7433.5
71.9835.0
72.0336.0
72.0637.0
72.138.0
72.1139.5
72.1139.5
72.1241.0
72.1342.0
72.243.0
72.3644.0
72.3745.0
72.3846.0
72.447.0
72.5148.0
72.5749.0
72.5850.0
4,950 rows not displayed

Step 3 - Add ranks to original table or pairs

Age Weight Time 1 Age Ranks Weight Time 1 Ranks
22.091.091024.01141.5
19.090.53805.0994.5
8.071.6131.531.0
44.096.952483.54056.5
71.094.163996.02527.5
22.092.751024.01781.0
45.096.512556.03844.0
37.093.992039.02438.0
52.092.453062.51643.5
59.096.023495.53598.0
82.093.34478.52064.5
50.091.42910.51249.5
63.092.993658.01914.0
11.073.67233.067.0
52.099.583062.54790.0
57.095.053397.53098.0
85.095.344605.03249.0
96.092.354921.01594.5
12.078.63306.0325.5
49.094.712838.02864.0
23.092.421098.51624.0
50.094.442910.52696.5
30.092.151567.51494.5
71.094.683996.02846.0
46.096.62625.53884.5
52.094.83062.52929.0
38.091.22100.01181.5
47.093.062694.51947.0
66.096.183796.53686.5
12.075.78306.0158.5
20.094.61881.52809.0
56.094.863330.02980.0
84.094.864562.02980.0
15.083.43516.5491.0
79.096.284351.53740.0
26.091.541287.51288.5
36.090.791970.01064.0
75.095.774174.03450.0
66.093.833796.52338.5
63.094.473658.02718.0
57.096.523397.53850.0
73.098.514087.04569.5
18.090.47726.0972.0
81.094.64432.02803.5
39.092.352164.01594.5
52.086.663062.5562.5
20.091.73881.51345.5
8.071.0331.526.0
74.097.724125.54358.0
23.088.411098.5652.0
4,950 rows not displayed

Step 4 - Add difference in ranks and get square of diff

Age Weight Time 1 Age Ranks Weight Time 1 Ranks Difference Diff Squared
22.0 91.09 -117.5 1024.0 1141.5 13806.25
19.0 90.53 -189.5 805.0 994.5 35910.25
8.0 71.61 0.5 31.5 31.0 0.25
44.0 96.95 -1573.0 2483.5 4056.5 2474329.0
71.0 94.16 1468.5 3996.0 2527.5 2156492.25
22.0 92.75 -757.0 1024.0 1781.0 573049.0
45.0 96.51 -1288.0 2556.0 3844.0 1658944.0
37.0 93.99 -399.0 2039.0 2438.0 159201.0
52.0 92.45 1419.0 3062.5 1643.5 2013561.0
59.0 96.02 -102.5 3495.5 3598.0 10506.25
82.0 93.3 2414.0 4478.5 2064.5 5827396.0
50.0 91.4 1661.0 2910.5 1249.5 2758921.0
63.0 92.99 1744.0 3658.0 1914.0 3041536.0
11.0 73.67 166.0 233.0 67.0 27556.0
52.0 99.58 -1727.5 3062.5 4790.0 2984256.25
57.0 95.05 299.5 3397.5 3098.0 89700.25
85.0 95.34 1356.0 4605.0 3249.0 1838736.0
96.0 92.35 3326.5 4921.0 1594.5 11065602.25
12.0 78.63 -19.5 306.0 325.5 380.25
49.0 94.71 -26.0 2838.0 2864.0 676.0
23.0 92.42 -525.5 1098.5 1624.0 276150.25
50.0 94.44 214.0 2910.5 2696.5 45796.0
30.0 92.15 73.0 1567.5 1494.5 5329.0
71.0 94.68 1150.0 3996.0 2846.0 1322500.0
46.0 96.6 -1259.0 2625.5 3884.5 1585081.0
52.0 94.8 133.5 3062.5 2929.0 17822.25
38.0 91.2 918.5 2100.0 1181.5 843642.25
47.0 93.06 747.5 2694.5 1947.0 558756.25
66.0 96.18 110.0 3796.5 3686.5 12100.0
12.0 75.78 147.5 306.0 158.5 21756.25
20.0 94.61 -1927.5 881.5 2809.0 3715256.25
56.0 94.86 350.0 3330.0 2980.0 122500.0
84.0 94.86 1582.0 4562.0 2980.0 2502724.0
15.0 83.43 25.5 516.5 491.0 650.25
79.0 96.28 611.5 4351.5 3740.0 373932.25
26.0 91.54 -1.0 1287.5 1288.5 1.0
36.0 90.79 906.0 1970.0 1064.0 820836.0
75.0 95.77 724.0 4174.0 3450.0 524176.0
66.0 93.83 1458.0 3796.5 2338.5 2125764.0
63.0 94.47 940.0 3658.0 2718.0 883600.0
57.0 96.52 -452.5 3397.5 3850.0 204756.25
73.0 98.51 -482.5 4087.0 4569.5 232806.25
18.0 90.47 -246.0 726.0 972.0 60516.0
81.0 94.6 1628.5 4432.0 2803.5 2652012.25
39.0 92.35 569.5 2164.0 1594.5 324330.25
52.0 86.66 2500.0 3062.5 562.5 6250000.0
20.0 91.73 -464.0 881.5 1345.5 215296.0
8.0 71.03 5.5 31.5 26.0 30.25
74.0 97.72 -232.5 4125.5 4358.0 54056.25
23.0 88.41 446.5 1098.5 652.0 199362.25
4,950 rows not displayed

Step 5 - Count N pairs, cube it, and subtract N

N = 5,000
N3 - N = 124,999,995,000

Step 6 - Total squared diffs, multiply by 6, divide by N3 - N value

Total squared diffs = 7,070,170,793.5
Multiplied by 6 = 42,421,024,761.0
Divided by N3 - N value (124,999,995,000) = 0.3394

Step 7 - Subtract from 1 to get Spearman's rho

rho = 1 - 0.3394 = 0.6606 (all rounded to 4dp)

The only remaining question is the probability of a rho that size occurring for a given N value

"

Independent T-Test (TTestIndepDesign)

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Results of independent samples t-test of average "Age" for "Country" groups "South Korea" and "USA"

p value: 0.33081

t statistic: -0.973

Degrees of Freedom (df): 3365

O'Brien's test for homogeneity of variance: 0.99842

Group summary details

Group N Mean CI 95%3 Standard Deviation4 Min Max Kurtosis5 Skew6 p abnormal7
1,140 45.343 43.915 - 46.771 24.606 8.0 99.0 -0.891 0.403 0.3307587450050944
2,227 46.215 45.193 - 47.237 24.607 8.0 99.0 -0.987 0.289 0.3307587450050944

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a difference between the two groups. Note: a statistically significant difference may not necessarily be of any practical significance.

This is a two-tailed result i.e. based on the likelihood of a difference where the direction ("South Korea" higher than "USA" or "USA" higher than "South Korea") doesn't matter.

2If the value is small, e.g. less than 0.01, or 0.001, you can assume there is a difference in variance.

3There is a 95% chance the population mean is within the confidence interval calculated for this sample. Don't forget, of course, that the population mean could lie well outside the interval bounds. Note - many statisticians argue about the best wording for this conclusion.

4Standard Deviation measures the spread of values.

5Kurtosis measures the peakedness or flatness of values. Between -2 and 2 means kurtosis is unlikely to be a problem. Between -1 and 1 means kurtosis is quite unlikely to be a problem.

6Skew measures the lopsidedness of values. Between -2 and 2 means skew is unlikely to be a problem. Between -1 and 1 means skew is quite unlikely to be a problem.

7This provides a single measure of normality. If p is small, e.g. less than 0.01, or 0.001, you can assume the distribution is not strictly normal. Note - it may be normal enough though.

No worked example available for this test

"

Paired T-Test (TTestPairedDesign)

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Results of Paired Samples t-test of "Sample A - Weight Time 1" vs "Sample B - Weight Time 2"

p value: < 0.001 (0.000)1

t statistic: -51.25

Degrees of Freedom (df): 4999

Group summary details

Group N Mean CI 95%3 Standard Deviation4 Min Max
5,000 92.707 92.539 - 92.875 6.062 65.45 104.68
5,000 97.438 97.187 - 97.689 9.051 64.42238126906547 124.61314478478516

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship between "Sample A - Weight Time 1" and "Sample B - Weight Time 2". Note: a statistically significant difference may not necessarily be of any practical significance.

This is a two-tailed result i.e. based on the likelihood of a difference where the direction ("Sample A - Weight Time 1" higher than "Sample B - Weight Time 2" or "Sample B - Weight Time 2" higher than "Sample A - Weight Time 1") doesn't matter.

2There is a 95% chance the population mean is within the confidence interval calculated for this sample. Don't forget, of course, that the population mean could lie well outside the interval bounds. Note - many statisticians argue about the best wording for this conclusion.

3Standard Deviation measures the spread of values.

No worked example available for this test

"

Wilcoxon Signed Ranks (WilcoxonSignedRanksDesign)

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Results of Wilcoxon Signed Ranks Test of "Sample A - Weight Time 1" vs "Sample B - Weight Time 2"

p value: < 0.001 (0.000)1

t statistic: 1903943.0

Degrees of Freedom (df):

Group summary details

Group N Median Min Max
5,000 94.110 65.45 104.68
5,000 98.184 64.42238126906547 124.61314478478516

1If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship between "Sample A - Weight Time 1" and "Sample B - Weight Time 2". Note: a statistically significant difference may not necessarily be of any practical significance.

This is a two-tailed result i.e. based on the likelihood of a difference where the direction ("Sample A - Weight Time 1" higher than "Sample B - Weight Time 2" or "Sample B - Weight Time 2" higher than "Sample A - Weight Time 1") doesn't matter.

2Different statistics applications will show different results here depending on the reporting approach taken.

Worked Example of Key Calculations

Step 1 - Get differences

Weight Time 1 Weight Time 2 Difference
91.09 92.85605794194224 -1.7660579419422362
90.53 96.0255034486763 -5.495503448676303
71.61 78.52491202950081 -6.914912029500812
96.95 112.19003369666704 -15.24003369666704
94.16 111.51385255085508 -17.35385255085508
92.75 94.0319051416924 -1.2819051416924054
96.51 97.35520283189332 -0.8452028318933174
93.99 106.08838554396816 -12.098385543968163
92.45 98.98319587803806 -6.5331958780380575
96.02 114.39875187516758 -18.37875187516758
93.3 87.62851664538317 5.671483354616825
91.4 89.46301677189592 1.9369832281040829
92.99 98.39118545158598 -5.401185451585988
73.67 67.91747350442334 5.75252649557666
99.58 106.2175569054622 -6.637556905462205
95.05 101.8086297757848 -6.758629775784797
95.34 112.52730973131963 -17.18730973131963
92.35 98.97545665139072 -6.625456651390721
78.63 81.73051971337084 -3.1005197133708435
94.71 97.06562665129108 -2.3556266512910895
92.42 98.93198422325707 -6.511984223257073
94.44 101.594630051226 -7.1546300512260075
92.15 100.08729608245832 -7.937296082458317
94.68 100.00859178744274 -5.328591787442733
96.6 87.47565083176053 9.124349168239462
94.8 105.65802881997116 -10.858028819971167
91.2 98.9007000166667 -7.700700016666701
93.06 92.72968528154544 0.3303147184545594
96.18 100.16635520810544 -3.9863552081054365
75.78 81.12105006616844 -5.341050066168435
94.61 98.73949800628354 -4.129498006283541
94.86 96.23187460719396 -1.3718746071939592
94.86 88.50707617962655 6.352923820373448
83.43 84.1901673716845 -0.7601673716844886
96.28 102.76813481610814 -6.488134816108143
91.54 103.4535374004423 -11.913537400442294
90.79 105.92621260730256 -15.136212607302554
95.77 98.3082892368467 -2.5382892368467083
93.83 110.20437823350542 -16.374378233505425
94.47 106.37698366879955 -11.906983668799555
96.52 97.24299675737238 -0.7229967573723854
98.51 109.70555749666347 -11.195557496663469
90.47 110.02482667261222 -19.554826672612222
94.6 101.19410473801626 -6.59410473801627
92.35 95.1807896732832 -2.8307896732832063
86.66 95.39452789307322 -8.73452789307322
91.73 88.88980595945485 2.840194040545157
71.03 73.96371946400552 -2.93371946400552
97.72 110.43807343994736 -12.71807343994736
88.41 104.5550662486312 -16.14506624863121
4,950 rows not displayed

Step 2 - Sort non-zero differences by absolute value and rank

Rank such that all examples of a value get the mean rank for all items of that value

Difference Absolute Difference Counter Rank
(on Abs Diff)
-0.004220059553674105 0.004220059553674105 1 1.0
-0.0046367758298231365 0.0046367758298231365 2 2.0
0.0076567858501590536 0.0076567858501590536 3 3.0
-0.009047748840018244 0.009047748840018244 4 4.0
0.00960227243939471 0.00960227243939471 5 5.0
-0.010054785336123473 0.010054785336123473 6 6.0
-0.01174689409052121 0.01174689409052121 7 7.0
0.012434078817975092 0.012434078817975092 8 8.0
0.01598286917712244 0.01598286917712244 9 9.0
-0.01889500302483782 0.01889500302483782 10 10.0
0.02069776498312592 0.02069776498312592 11 11.0
0.021780666791471504 0.021780666791471504 12 12.0
0.022224935908525367 0.022224935908525367 13 13.0
0.027191444911565554 0.027191444911565554 14 14.0
0.0319355967310031 0.0319355967310031 15 15.0
0.033294984154593976 0.033294984154593976 16 16.0
0.034377573398657546 0.034377573398657546 17 17.0
0.03495452590651382 0.03495452590651382 18 18.0
0.03799211753133136 0.03799211753133136 19 19.0
0.04297627425235362 0.04297627425235362 20 20.0
-0.046311263544197345 0.046311263544197345 21 21.0
-0.046617967725481435 0.046617967725481435 22 22.0
-0.047106002086948706 0.047106002086948706 23 23.0
0.048324272124276035 0.048324272124276035 24 24.0
-0.04907976535477587 0.04907976535477587 25 25.0
0.05151167988063321 0.05151167988063321 26 26.0
0.05152209464776547 0.05152209464776547 27 27.0
0.056464576110926146 0.056464576110926146 28 28.0
-0.05786396608486655 0.05786396608486655 29 29.0
0.06042236196682893 0.06042236196682893 30 30.0
0.06200063626775432 0.06200063626775432 31 31.0
0.06292648306052229 0.06292648306052229 32 32.0
0.06618762410224122 0.06618762410224122 33 33.0
-0.06733121463420844 0.06733121463420844 34 34.0
-0.06983889607474225 0.06983889607474225 35 35.0
0.06990371031766074 0.06990371031766074 36 36.0
0.06991538476300718 0.06991538476300718 37 37.0
-0.07382750602965871 0.07382750602965871 38 38.0
0.07607042831992317 0.07607042831992317 39 39.0
0.08531526766871877 0.08531526766871877 40 40.0
0.08761434283145775 0.08761434283145775 41 41.0
0.09063159940819787 0.09063159940819787 42 42.0
-0.09181833749336477 0.09181833749336477 43 43.0
0.09256072709092678 0.09256072709092678 44 44.0
-0.0931591520492816 0.0931591520492816 45 45.0
-0.09446954639172134 0.09446954639172134 46 46.0
0.09481229481288267 0.09481229481288267 47 47.0
0.09708559608772305 0.09708559608772305 48 48.0
-0.09890979622123552 0.09890979622123552 49 49.0
-0.10270639152585659 0.10270639152585659 50 50.0
4,950 rows not displayed

Step 3 - Sum ranks for positive differences

3.0 + 5.0 + 8.0 + 9.0 + 11.0 + 12.0 + 13.0 + 14.0 + 15.0 + 16.0 + 17.0 + 18.0 + 19.0 + 20.0 + 24.0 + 26.0 + 27.0 + 28.0 + 30.0 + 31.0 + 32.0 + 33.0 + 36.0 + 37.0 + 39.0 + 40.0 + 41.0 + 42.0 + 44.0 + 47.0 + 48.0 + 53.0 + 54.0 + 58.0 + 60.0 + 63.0 + 65.0 + 66.0 + 67.0 + 73.0 + 77.0 + 78.0 + 79.0 + 80.0 + 81.0 + 82.0 + 85.0 + 88.0 + 89.0 + 90.0 + 1,098 other values not displayed = 1,903,943.0

Step 4 - Sum ranks for negative differences

1.0 + 2.0 + 4.0 + 6.0 + 7.0 + 10.0 + 21.0 + 22.0 + 23.0 + 25.0 + 29.0 + 34.0 + 35.0 + 38.0 + 43.0 + 45.0 + 46.0 + 49.0 + 50.0 + 51.0 + 52.0 + 55.0 + 56.0 + 57.0 + 59.0 + 61.0 + 62.0 + 64.0 + 68.0 + 69.0 + 70.0 + 71.0 + 72.0 + 74.0 + 75.0 + 76.0 + 83.0 + 84.0 + 86.0 + 87.0 + 92.0 + 97.0 + 99.0 + 100.0 + 102.0 + 104.0 + 105.0 + 107.0 + 108.0 + 109.0 + 3,802 other values not displayed = 10,598,557.0

Step 5 - Get smallest of sums for positive or negative ranks

The lowest value of 1,903,943.0 and 10,598,557.0 is 1,903,943.0 so Wilcoxon's T statistic is 1,903,943.0

Step 6 - Get count of all non-zero diffs

Just the number of records in the table from Step 2 i.e. 5,000

The only remaining question is the probability of a sum as large as that observed (T) for a given N value. The smaller the N and the bigger the T the less likely the difference between "Weight Time 1" and "Weight Time 2" could occur by chance.

"

Cross Tab from SQLite (Filtered by Car) (CrossTabDesign)

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Sleep Group Age Group Tertiary Qualifications
Under 7 hours 7 to <9 hours 9+ hours TOTAL <20 20 to <30 30 to <40 40 to <50 50 to <60 60 to <70 70 to <80 80+ TOTAL No Qualifications Undergraduate Postgraduate TOTAL
Handedness Handedness Handedness Handedness Handedness Handedness Handedness Handedness Handedness
Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL
Freq Freq Freq Freq Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Freq Freq Freq
Country Denmark Home Location Type City 8 17 12 37 5 100.00 35.71 0 0.00 0.00 0 0.00 N/A 5 100.00 31.25 2 66.67 50.00 0 0.00 0.00 1 33.33 100.00 3 100.00 50.00 5 100.00 71.43 0 0.00 0.00 0 0.00 N/A 5 100.00 62.50 3 50.00 42.86 0 0.00 N/A 3 50.00 100.00 6 100.00 60.00 5 62.50 50.00 2 25.00 100.00 1 12.50 50.00 8 100.00 57.14 2 66.67 33.33 1 33.33 50.00 0 0.00 N/A 3 100.00 37.50 2 100.00 40.00 0 0.00 0.00 2 100.00 33.33 4 80.00 40.00 1 20.00 50.00 0 0.00 0.00 5 100.00 35.71 28 75.68 44.44 4 10.81 36.36 5 13.51 62.50 37 100.00 45.12 27 10 0 37
Town 5 12 3 20 6 75.00 42.86 2 25.00 100.00 0 0.00 N/A 8 100.00 50.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 0.00 0.00 1 100.00 100.00 0 0.00 N/A 1 100.00 12.50 1 100.00 14.29 0 0.00 N/A 0 0.00 0.00 1 100.00 10.00 3 100.00 30.00 0 0.00 0.00 0 0.00 0.00 3 100.00 21.43 1 100.00 16.67 0 0.00 0.00 0 0.00 N/A 1 100.00 12.50 3 75.00 60.00 1 25.00 100.00 4 100.00 66.67 2 100.00 20.00 0 0.00 0.00 0 0.00 0.00 2 100.00 14.29 16 80.00 25.40 4 20.00 36.36 0 0.00 0.00 20 100.00 24.39 15 3 2 20
Rural 9 14 2 25 3 100.00 21.43 0 0.00 0.00 0 0.00 N/A 3 100.00 18.75 2 66.67 50.00 1 33.33 100.00 0 0.00 0.00 3 100.00 50.00 2 100.00 28.57 0 0.00 0.00 0 0.00 N/A 2 100.00 25.00 3 100.00 42.86 0 0.00 N/A 0 0.00 0.00 3 100.00 30.00 2 66.67 20.00 0 0.00 0.00 1 33.33 50.00 3 100.00 21.43 3 75.00 50.00 1 25.00 50.00 0 0.00 N/A 4 100.00 50.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 4 57.14 40.00 1 14.29 50.00 2 28.57 100.00 7 100.00 50.00 19 76.00 30.16 3 12.00 27.27 3 12.00 37.50 25 100.00 30.49 19 6 0 25
TOTAL 22 43 17 82 14 87.50 100.00 2 12.50 100.00 0 0.00 N/A 16 100.00 100.00 4 66.67 100.00 1 16.67 100.00 1 16.67 100.00 6 100.00 100.00 7 87.50 100.00 1 12.50 100.00 0 0.00 N/A 8 100.00 100.00 7 70.00 100.00 0 0.00 N/A 3 30.00 100.00 10 100.00 100.00 10 71.43 100.00 2 14.29 100.00 2 14.29 100.00 14 100.00 100.00 6 75.00 100.00 2 25.00 100.00 0 0.00 N/A 8 100.00 100.00 5 83.33 100.00 1 16.67 100.00 6 100.00 100.00 10 71.43 100.00 2 14.29 100.00 2 14.29 100.00 14 100.00 100.00 63 76.83 100.00 11 13.41 100.00 8 9.76 100.00 82 100.00 100.00 61 19 2 82
NZ Home Location Type City 18 20 10 48 3 42.86 20.00 2 28.57 50.00 2 28.57 66.67 7 100.00 31.82 8 72.73 53.33 2 18.18 28.57 1 9.09 50.00 11 100.00 45.83 4 100.00 44.44 0 0.00 N/A 0 0.00 0.00 4 100.00 40.00 1 20.00 9.09 3 60.00 37.50 1 20.00 100.00 5 100.00 25.00 4 66.67 40.00 0 0.00 N/A 2 33.33 100.00 6 100.00 50.00 2 50.00 22.22 2 50.00 100.00 0 0.00 0.00 4 100.00 30.77 4 100.00 44.44 0 0.00 N/A 4 100.00 44.44 5 71.43 45.45 1 14.29 33.33 1 14.29 100.00 7 100.00 46.67 31 64.58 34.83 10 20.83 41.67 7 14.58 58.33 48 100.00 38.40 36 11 1 48
Town 11 13 5 29 3 100.00 20.00 0 0.00 0.00 0 0.00 0.00 3 100.00 13.64 3 75.00 20.00 1 25.00 14.29 0 0.00 0.00 4 100.00 16.67 2 100.00 22.22 0 0.00 N/A 0 0.00 0.00 2 100.00 20.00 3 37.50 27.27 5 62.50 62.50 0 0.00 0.00 8 100.00 40.00 0 N/A 0.00 0 N/A N/A 0 N/A 0.00 0 N/A 0.00 4 66.67 44.44 0 0.00 0.00 2 33.33 100.00 6 100.00 46.15 5 100.00 55.56 0 0.00 N/A 5 100.00 55.56 1 100.00 9.09 0 0.00 0.00 0 0.00 0.00 1 100.00 6.67 21 72.41 23.60 6 20.69 25.00 2 6.90 16.67 29 100.00 23.20 21 7 1 29
Rural 18 23 7 48 9 75.00 60.00 2 16.67 50.00 1 8.33 33.33 12 100.00 54.55 4 44.44 26.67 4 44.44 57.14 1 11.11 50.00 9 100.00 37.50 3 75.00 33.33 0 0.00 N/A 1 25.00 100.00 4 100.00 40.00 7 100.00 63.64 0 0.00 0.00 0 0.00 0.00 7 100.00 35.00 6 100.00 60.00 0 0.00 N/A 0 0.00 0.00 6 100.00 50.00 3 100.00 33.33 0 0.00 0.00 0 0.00 0.00 3 100.00 23.08 0 N/A 0.00 0 N/A N/A 0 N/A 0.00 5 71.43 45.45 2 28.57 66.67 0 0.00 0.00 7 100.00 46.67 37 77.08 41.57 8 16.67 33.33 3 6.25 25.00 48 100.00 38.40 42 5 1 48
TOTAL 47 56 22 125 15 68.18 100.00 4 18.18 100.00 3 13.64 100.00 22 100.00 100.00 15 62.50 100.00 7 29.17 100.00 2 8.33 100.00 24 100.00 100.00 9 90.00 100.00 0 0.00 N/A 1 10.00 100.00 10 100.00 100.00 11 55.00 100.00 8 40.00 100.00 1 5.00 100.00 20 100.00 100.00 10 83.33 100.00 0 0.00 N/A 2 16.67 100.00 12 100.00 100.00 9 69.23 100.00 2 15.38 100.00 2 15.38 100.00 13 100.00 100.00 9 100.00 100.00 0 0.00 N/A 9 100.00 100.00 11 73.33 100.00 3 20.00 100.00 1 6.67 100.00 15 100.00 100.00 89 71.20 100.00 24 19.20 100.00 12 9.60 100.00 125 100.00 100.00 99 23 3 125
South Korea Home Location Type City 26 51 16 93 10 83.33 62.50 1 8.33 100.00 1 8.33 50.00 12 100.00 63.16 8 66.67 66.67 3 25.00 100.00 1 8.33 50.00 12 100.00 70.59 11 78.57 47.83 2 14.29 50.00 1 7.14 50.00 14 100.00 48.28 13 81.25 65.00 2 12.50 66.67 1 6.25 50.00 16 100.00 64.00 10 83.33 62.50 1 8.33 100.00 1 8.33 50.00 12 100.00 63.16 3 50.00 50.00 3 50.00 100.00 0 0.00 N/A 6 100.00 66.67 8 80.00 66.67 2 20.00 66.67 10 100.00 66.67 6 54.55 42.86 5 45.45 83.33 0 0.00 N/A 11 100.00 55.00 69 74.19 57.98 19 20.43 79.17 5 5.38 50.00 93 100.00 60.78 71 17 5 93
Town 14 16 7 37 2 66.67 12.50 0 0.00 0.00 1 33.33 50.00 3 100.00 15.79 3 100.00 25.00 0 0.00 0.00 0 0.00 0.00 3 100.00 17.65 7 70.00 30.43 2 20.00 50.00 1 10.00 50.00 10 100.00 34.48 5 71.43 25.00 1 14.29 33.33 1 14.29 50.00 7 100.00 28.00 4 100.00 25.00 0 0.00 0.00 0 0.00 0.00 4 100.00 21.05 3 100.00 50.00 0 0.00 0.00 0 0.00 N/A 3 100.00 33.33 1 50.00 8.33 1 50.00 33.33 2 100.00 13.33 5 100.00 35.71 0 0.00 0.00 0 0.00 N/A 5 100.00 25.00 30 81.08 25.21 4 10.81 16.67 3 8.11 30.00 37 100.00 24.18 28 5 4 37
Rural 10 8 5 23 4 100.00 25.00 0 0.00 0.00 0 0.00 0.00 4 100.00 21.05 1 50.00 8.33 0 0.00 0.00 1 50.00 50.00 2 100.00 11.76 5 100.00 21.74 0 0.00 0.00 0 0.00 0.00 5 100.00 17.24 2 100.00 10.00 0 0.00 0.00 0 0.00 0.00 2 100.00 8.00 2 66.67 12.50 0 0.00 0.00 1 33.33 50.00 3 100.00 15.79 0 N/A 0.00 0 N/A 0.00 0 N/A N/A 0 N/A 0.00 3 100.00 25.00 0 0.00 0.00 3 100.00 20.00 3 75.00 21.43 1 25.00 16.67 0 0.00 N/A 4 100.00 20.00 20 86.96 16.81 1 4.35 4.17 2 8.70 20.00 23 100.00 15.03 20 3 0 23
TOTAL 50 75 28 153 16 84.21 100.00 1 5.26 100.00 2 10.53 100.00 19 100.00 100.00 12 70.59 100.00 3 17.65 100.00 2 11.76 100.00 17 100.00 100.00 23 79.31 100.00 4 13.79 100.00 2 6.90 100.00 29 100.00 100.00 20 80.00 100.00 3 12.00 100.00 2 8.00 100.00 25 100.00 100.00 16 84.21 100.00 1 5.26 100.00 2 10.53 100.00 19 100.00 100.00 6 66.67 100.00 3 33.33 100.00 0 0.00 N/A 9 100.00 100.00 12 80.00 100.00 3 20.00 100.00 15 100.00 100.00 14 70.00 100.00 6 30.00 100.00 0 0.00 N/A 20 100.00 100.00 119 77.78 100.00 24 15.69 100.00 10 6.54 100.00 153 100.00 100.00 119 25 9 153
USA Home Location Type City 50 82 31 163 19 59.38 44.19 9 28.12 69.23 4 12.50 80.00 32 100.00 52.46 13 68.42 46.43 5 26.32 71.43 1 5.26 25.00 19 100.00 48.72 19 82.61 57.58 3 13.04 60.00 1 4.35 33.33 23 100.00 56.10 23 79.31 67.65 5 17.24 62.50 1 3.45 25.00 29 100.00 63.04 20 86.96 66.67 2 8.70 50.00 1 4.35 50.00 23 100.00 63.89 4 80.00 22.22 1 20.00 33.33 0 0.00 0.00 5 100.00 20.00 11 78.57 50.00 3 21.43 100.00 14 100.00 56.00 15 83.33 62.50 2 11.11 40.00 1 5.56 100.00 18 100.00 60.00 124 76.07 53.45 30 18.40 62.50 9 5.52 39.13 163 100.00 53.80 128 27 8 163
Town 27 42 17 86 11 84.62 25.58 1 7.69 7.69 1 7.69 20.00 13 100.00 21.31 9 69.23 32.14 1 7.69 14.29 3 23.08 75.00 13 100.00 33.33 13 92.86 39.39 0 0.00 0.00 1 7.14 33.33 14 100.00 34.15 9 69.23 26.47 3 23.08 37.50 1 7.69 25.00 13 100.00 28.26 7 70.00 23.33 2 20.00 50.00 1 10.00 50.00 10 100.00 27.78 10 71.43 55.56 2 14.29 66.67 2 14.29 50.00 14 100.00 56.00 4 100.00 18.18 0 0.00 0.00 4 100.00 16.00 3 60.00 12.50 2 40.00 40.00 0 0.00 0.00 5 100.00 16.67 66 76.74 28.45 11 12.79 22.92 9 10.47 39.13 86 100.00 28.38 64 14 8 86
Rural 18 25 11 54 13 81.25 30.23 3 18.75 23.08 0 0.00 0.00 16 100.00 26.23 6 85.71 21.43 1 14.29 14.29 0 0.00 0.00 7 100.00 17.95 1 25.00 3.03 2 50.00 40.00 1 25.00 33.33 4 100.00 9.76 2 50.00 5.88 0 0.00 0.00 2 50.00 50.00 4 100.00 8.70 3 100.00 10.00 0 0.00 0.00 0 0.00 0.00 3 100.00 8.33 4 66.67 22.22 0 0.00 0.00 2 33.33 50.00 6 100.00 24.00 7 100.00 31.82 0 0.00 0.00 7 100.00 28.00 6 85.71 25.00 1 14.29 20.00 0 0.00 0.00 7 100.00 23.33 42 77.78 18.10 7 12.96 14.58 5 9.26 21.74 54 100.00 17.82 40 11 3 54
TOTAL 95 149 59 303 43 70.49 100.00 13 21.31 100.00 5 8.20 100.00 61 100.00 100.00 28 71.79 100.00 7 17.95 100.00 4 10.26 100.00 39 100.00 100.00 33 80.49 100.00 5 12.20 100.00 3 7.32 100.00 41 100.00 100.00 34 73.91 100.00 8 17.39 100.00 4 8.70 100.00 46 100.00 100.00 30 83.33 100.00 4 11.11 100.00 2 5.56 100.00 36 100.00 100.00 18 72.00 100.00 3 12.00 100.00 4 16.00 100.00 25 100.00 100.00 22 88.00 100.00 3 12.00 100.00 25 100.00 100.00 24 80.00 100.00 5 16.67 100.00 1 3.33 100.00 30 100.00 100.00 232 76.57 100.00 48 15.84 100.00 23 7.59 100.00 303 100.00 100.00 232 52 19 303
TOTAL Home Location Type City 102 170 69 341 37 66.07 42.05 12 21.43 60.00 7 12.50 70.00 56 100.00 47.46 31 68.89 52.54 10 22.22 55.56 4 8.89 44.44 45 100.00 52.33 39 84.78 54.17 5 10.87 50.00 2 4.35 33.33 46 100.00 52.27 40 71.43 55.56 10 17.86 52.63 6 10.71 60.00 56 100.00 55.45 39 79.59 59.09 5 10.20 71.43 5 10.20 62.50 49 100.00 60.49 11 61.11 28.21 7 38.89 70.00 0 0.00 0.00 18 100.00 32.73 25 83.33 52.08 5 16.67 71.43 30 100.00 54.55 30 73.17 50.85 9 21.95 56.25 2 4.88 50.00 41 100.00 51.90 252 73.90 50.10 63 18.48 58.88 26 7.62 49.06 341 100.00 51.43 262 65 14 341
Town 57 83 32 172 22 81.48 25.00 3 11.11 15.00 2 7.41 20.00 27 100.00 22.88 15 75.00 25.42 2 10.00 11.11 3 15.00 33.33 20 100.00 23.26 22 81.48 30.56 3 11.11 30.00 2 7.41 33.33 27 100.00 30.68 18 62.07 25.00 9 31.03 47.37 2 6.90 20.00 29 100.00 28.71 14 82.35 21.21 2 11.76 28.57 1 5.88 12.50 17 100.00 20.99 18 75.00 46.15 2 8.33 20.00 4 16.67 66.67 24 100.00 43.64 13 86.67 27.08 2 13.33 28.57 15 100.00 27.27 11 84.62 18.64 2 15.38 12.50 0 0.00 0.00 13 100.00 16.46 133 77.33 26.44 25 14.53 23.36 14 8.14 26.42 172 100.00 25.94 128 29 15 172
Rural 55 70 25 150 29 82.86 32.95 5 14.29 25.00 1 2.86 10.00 35 100.00 29.66 13 61.90 22.03 6 28.57 33.33 2 9.52 22.22 21 100.00 24.42 11 73.33 15.28 2 13.33 20.00 2 13.33 33.33 15 100.00 17.05 14 87.50 19.44 0 0.00 0.00 2 12.50 20.00 16 100.00 15.84 13 86.67 19.70 0 0.00 0.00 2 13.33 25.00 15 100.00 18.52 10 76.92 25.64 1 7.69 10.00 2 15.38 33.33 13 100.00 23.64 10 100.00 20.83 0 0.00 0.00 10 100.00 18.18 18 72.00 30.51 5 20.00 31.25 2 8.00 50.00 25 100.00 31.65 118 78.67 23.46 19 12.67 17.76 13 8.67 24.53 150 100.00 22.62 121 25 4 150
TOTAL 214 323 126 663 88 74.58 100.00 20 16.95 100.00 10 8.47 100.00 118 100.00 100.00 59 68.60 100.00 18 20.93 100.00 9 10.47 100.00 86 100.00 100.00 72 81.82 100.00 10 11.36 100.00 6 6.82 100.00 88 100.00 100.00 72 71.29 100.00 19 18.81 100.00 10 9.90 100.00 101 100.00 100.00 66 81.48 100.00 7 8.64 100.00 8 9.88 100.00 81 100.00 100.00 39 70.91 100.00 10 18.18 100.00 6 10.91 100.00 55 100.00 100.00 48 87.27 100.00 7 12.73 100.00 55 100.00 100.00 59 74.68 100.00 16 20.25 100.00 4 5.06 100.00 79 100.00 100.00 503 75.87 100.00 107 16.14 100.00 53 7.99 100.00 663 100.00 100.00 511 119 33 663
Home Location Type City 102 170 69 341 37 66.07 42.05 12 21.43 60.00 7 12.50 70.00 56 100.00 47.46 31 68.89 52.54 10 22.22 55.56 4 8.89 44.44 45 100.00 52.33 39 84.78 54.17 5 10.87 50.00 2 4.35 33.33 46 100.00 52.27 40 71.43 55.56 10 17.86 52.63 6 10.71 60.00 56 100.00 55.45 39 79.59 59.09 5 10.20 71.43 5 10.20 62.50 49 100.00 60.49 11 61.11 28.21 7 38.89 70.00 0 0.00 0.00 18 100.00 32.73 25 83.33 52.08 5 16.67 71.43 30 100.00 54.55 30 73.17 50.85 9 21.95 56.25 2 4.88 50.00 41 100.00 51.90 252 73.90 50.10 63 18.48 58.88 26 7.62 49.06 341 100.00 51.43 262 65 14 341
Town 57 83 32 172 22 81.48 25.00 3 11.11 15.00 2 7.41 20.00 27 100.00 22.88 15 75.00 25.42 2 10.00 11.11 3 15.00 33.33 20 100.00 23.26 22 81.48 30.56 3 11.11 30.00 2 7.41 33.33 27 100.00 30.68 18 62.07 25.00 9 31.03 47.37 2 6.90 20.00 29 100.00 28.71 14 82.35 21.21 2 11.76 28.57 1 5.88 12.50 17 100.00 20.99 18 75.00 46.15 2 8.33 20.00 4 16.67 66.67 24 100.00 43.64 13 86.67 27.08 2 13.33 28.57 15 100.00 27.27 11 84.62 18.64 2 15.38 12.50 0 0.00 0.00 13 100.00 16.46 133 77.33 26.44 25 14.53 23.36 14 8.14 26.42 172 100.00 25.94 128 29 15 172
Rural 55 70 25 150 29 82.86 32.95 5 14.29 25.00 1 2.86 10.00 35 100.00 29.66 13 61.90 22.03 6 28.57 33.33 2 9.52 22.22 21 100.00 24.42 11 73.33 15.28 2 13.33 20.00 2 13.33 33.33 15 100.00 17.05 14 87.50 19.44 0 0.00 0.00 2 12.50 20.00 16 100.00 15.84 13 86.67 19.70 0 0.00 0.00 2 13.33 25.00 15 100.00 18.52 10 76.92 25.64 1 7.69 10.00 2 15.38 33.33 13 100.00 23.64 10 100.00 20.83 0 0.00 0.00 10 100.00 18.18 18 72.00 30.51 5 20.00 31.25 2 8.00 50.00 25 100.00 31.65 118 78.67 23.46 19 12.67 17.76 13 8.67 24.53 150 100.00 22.62 121 25 4 150
TOTAL 214 323 126 663 88 74.58 100.00 20 16.95 100.00 10 8.47 100.00 118 100.00 100.00 59 68.60 100.00 18 20.93 100.00 9 10.47 100.00 86 100.00 100.00 72 81.82 100.00 10 11.36 100.00 6 6.82 100.00 88 100.00 100.00 72 71.29 100.00 19 18.81 100.00 10 9.90 100.00 101 100.00 100.00 66 81.48 100.00 7 8.64 100.00 8 9.88 100.00 81 100.00 100.00 39 70.91 100.00 10 18.18 100.00 6 10.91 100.00 55 100.00 100.00 48 87.27 100.00 7 12.73 100.00 55 100.00 100.00 59 74.68 100.00 16 20.25 100.00 4 5.06 100.00 79 100.00 100.00 503 75.87 100.00 107 16.14 100.00 53 7.99 100.00 663 100.00 100.00 511 119 33 663
Car Aston Martin 7 11 6 24 2 100.00 2.27 0 0.00 0.00 0 0.00 0.00 2 100.00 1.69 1 100.00 1.69 0 0.00 0.00 0 0.00 0.00 1 100.00 1.16 2 66.67 2.78 1 33.33 10.00 0 0.00 0.00 3 100.00 3.41 2 100.00 2.78 0 0.00 0.00 0 0.00 0.00 2 100.00 1.98 5 83.33 7.58 1 16.67 14.29 0 0.00 0.00 6 100.00 7.41 3 100.00 7.69 0 0.00 0.00 0 0.00 0.00 3 100.00 5.45 2 100.00 4.17 0 0.00 0.00 2 100.00 3.64 4 80.00 6.78 1 20.00 6.25 0 0.00 0.00 5 100.00 6.33 21 87.50 4.17 3 12.50 2.80 0 0.00 0.00 24 100.00 3.62 16 6 2 24
Audi 28 39 15 82 9 75.00 10.23 3 25.00 15.00 0 0.00 0.00 12 100.00 10.17 11 73.33 18.64 4 26.67 22.22 0 0.00 0.00 15 100.00 17.44 12 85.71 16.67 1 7.14 10.00 1 7.14 16.67 14 100.00 15.91 13 86.67 18.06 0 0.00 0.00 2 13.33 20.00 15 100.00 14.85 8 80.00 12.12 0 0.00 0.00 2 20.00 25.00 10 100.00 12.35 2 100.00 5.13 0 0.00 0.00 0 0.00 0.00 2 100.00 3.64 6 100.00 12.50 0 0.00 0.00 6 100.00 10.91 5 62.50 8.47 3 37.50 18.75 0 0.00 0.00 8 100.00 10.13 66 80.49 13.12 11 13.41 10.28 5 6.10 9.43 82 100.00 12.37 56 19 7 82
Porsche 19 45 10 74 11 91.67 12.50 1 8.33 5.00 0 0.00 0.00 12 100.00 10.17 7 53.85 11.86 4 30.77 22.22 2 15.38 22.22 13 100.00 15.12 3 42.86 4.17 2 28.57 20.00 2 28.57 33.33 7 100.00 7.95 5 71.43 6.94 2 28.57 10.53 0 0.00 0.00 7 100.00 6.93 9 81.82 13.64 2 18.18 28.57 0 0.00 0.00 11 100.00 13.58 4 57.14 10.26 1 14.29 10.00 2 28.57 33.33 7 100.00 12.73 7 100.00 14.58 0 0.00 0.00 7 100.00 12.73 9 90.00 15.25 1 10.00 6.25 0 0.00 0.00 10 100.00 12.66 55 74.32 10.93 13 17.57 12.15 6 8.11 11.32 74 100.00 11.16 55 16 3 74
Toyota 160 228 95 483 66 71.74 75.00 16 17.39 80.00 10 10.87 100.00 92 100.00 77.97 40 70.18 67.80 10 17.54 55.56 7 12.28 77.78 57 100.00 66.28 55 85.94 76.39 6 9.38 60.00 3 4.69 50.00 64 100.00 72.73 52 67.53 72.22 17 22.08 89.47 8 10.39 80.00 77 100.00 76.24 44 81.48 66.67 4 7.41 57.14 6 11.11 75.00 54 100.00 66.67 30 69.77 76.92 9 20.93 90.00 4 9.30 66.67 43 100.00 78.18 33 82.50 68.75 7 17.50 100.00 40 100.00 72.73 41 73.21 69.49 11 19.64 68.75 4 7.14 100.00 56 100.00 70.89 361 74.74 71.77 80 16.56 74.77 42 8.70 79.25 483 100.00 72.85 384 78 21 483
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Sleep Group Age Group Tertiary Qualifications
Under 7 hours 7 to <9 hours 9+ hours TOTAL <20 20 to <30 30 to <40 40 to <50 50 to <60 60 to <70 70 to <80 80+ TOTAL No Qualifications Undergraduate Postgraduate TOTAL
Handedness Handedness Handedness Handedness Handedness Handedness Handedness Handedness Handedness
Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL
Freq Freq Freq Freq Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Freq Freq Freq
Country Denmark Home Location Type City 97 171 50 318 34 72.34 38.20 9 19.15 47.37 4 8.51 40.00 47 100.00 39.83 38 86.36 49.35 3 6.82 23.08 3 6.82 25.00 44 100.00 43.14 35 72.92 46.67 9 18.75 64.29 4 8.33 50.00 48 100.00 49.48 30 73.17 48.39 4 9.76 23.53 7 17.07 70.00 41 100.00 46.07 35 74.47 42.68 8 17.02 44.44 4 8.51 50.00 47 100.00 43.52 20 66.67 39.22 7 23.33 50.00 3 10.00 37.50 30 100.00 41.10 19 61.29 41.30 9 29.03 60.00 3 9.68 60.00 31 100.00 46.97 25 83.33 40.98 5 16.67 35.71 0 0.00 0.00 30 100.00 36.14 236 74.21 43.46 54 16.98 43.55 28 8.81 40.58 318 100.00 43.21 253 54 11 318
Town 72 87 40 199 25 75.76 28.09 5 15.15 26.32 3 9.09 30.00 33 100.00 27.97 17 58.62 22.08 5 17.24 38.46 7 24.14 58.33 29 100.00 28.43 19 90.48 25.33 1 4.76 7.14 1 4.76 12.50 21 100.00 21.65 20 74.07 32.26 5 18.52 29.41 2 7.41 20.00 27 100.00 30.34 20 83.33 24.39 3 12.50 16.67 1 4.17 12.50 24 100.00 22.22 14 63.64 27.45 4 18.18 28.57 4 18.18 50.00 22 100.00 30.14 14 73.68 30.43 4 21.05 26.67 1 5.26 20.00 19 100.00 28.79 18 75.00 29.51 3 12.50 21.43 3 12.50 37.50 24 100.00 28.92 147 73.87 27.07 30 15.08 24.19 22 11.06 31.88 199 100.00 27.04 159 31 9 199
Rural 67 117 35 219 30 78.95 33.71 5 13.16 26.32 3 7.89 30.00 38 100.00 32.20 22 75.86 28.57 5 17.24 38.46 2 6.90 16.67 29 100.00 28.43 21 75.00 28.00 4 14.29 28.57 3 10.71 37.50 28 100.00 28.87 12 57.14 19.35 8 38.10 47.06 1 4.76 10.00 21 100.00 23.60 27 72.97 32.93 7 18.92 38.89 3 8.11 37.50 37 100.00 34.26 17 80.95 33.33 3 14.29 21.43 1 4.76 12.50 21 100.00 28.77 13 81.25 28.26 2 12.50 13.33 1 6.25 20.00 16 100.00 24.24 18 62.07 29.51 6 20.69 42.86 5 17.24 62.50 29 100.00 34.94 160 73.06 29.47 40 18.26 32.26 19 8.68 27.54 219 100.00 29.76 173 35 11 219
TOTAL 236 375 125 736 89 75.42 100.00 19 16.10 100.00 10 8.47 100.00 118 100.00 100.00 77 75.49 100.00 13 12.75 100.00 12 11.76 100.00 102 100.00 100.00 75 77.32 100.00 14 14.43 100.00 8 8.25 100.00 97 100.00 100.00 62 69.66 100.00 17 19.10 100.00 10 11.24 100.00 89 100.00 100.00 82 75.93 100.00 18 16.67 100.00 8 7.41 100.00 108 100.00 100.00 51 69.86 100.00 14 19.18 100.00 8 10.96 100.00 73 100.00 100.00 46 69.70 100.00 15 22.73 100.00 5 7.58 100.00 66 100.00 100.00 61 73.49 100.00 14 16.87 100.00 8 9.64 100.00 83 100.00 100.00 543 73.78 100.00 124 16.85 100.00 69 9.38 100.00 736 100.00 100.00 585 120 31 736
NZ Home Location Type City 114 160 58 332 42 80.77 38.53 7 13.46 36.84 3 5.77 25.00 52 100.00 37.14 32 69.57 34.04 7 15.22 35.00 7 15.22 63.64 46 100.00 36.80 32 74.42 41.56 10 23.26 38.46 1 2.33 16.67 43 100.00 39.45 32 64.00 34.04 11 22.00 42.31 7 14.00 63.64 50 100.00 38.17 37 78.72 38.95 6 12.77 31.58 4 8.51 40.00 47 100.00 37.90 10 62.50 18.87 4 25.00 40.00 2 12.50 22.22 16 100.00 22.22 24 82.76 41.38 2 6.90 66.67 3 10.34 42.86 29 100.00 42.65 35 71.43 37.23 9 18.37 36.00 5 10.20 55.56 49 100.00 38.28 244 73.49 36.20 56 16.87 37.84 32 9.64 42.67 332 100.00 37.01 262 51 19 332
Town 80 114 50 244 27 79.41 24.77 4 11.76 21.05 3 8.82 25.00 34 100.00 24.29 18 78.26 19.15 4 17.39 20.00 1 4.35 9.09 23 100.00 18.40 21 70.00 27.27 6 20.00 23.08 3 10.00 50.00 30 100.00 27.52 27 62.79 28.72 15 34.88 57.69 1 2.33 9.09 43 100.00 32.82 21 75.00 22.11 3 10.71 15.79 4 14.29 40.00 28 100.00 22.58 25 78.12 47.17 2 6.25 20.00 5 15.62 55.56 32 100.00 44.44 18 90.00 31.03 0 0.00 0.00 2 10.00 28.57 20 100.00 29.41 27 79.41 28.72 5 14.71 20.00 2 5.88 22.22 34 100.00 26.56 184 75.41 27.30 39 15.98 26.35 21 8.61 28.00 244 100.00 27.20 196 37 11 244
Rural 117 148 56 321 40 74.07 36.70 8 14.81 42.11 6 11.11 50.00 54 100.00 38.57 44 78.57 46.81 9 16.07 45.00 3 5.36 27.27 56 100.00 44.80 24 66.67 31.17 10 27.78 38.46 2 5.56 33.33 36 100.00 33.03 35 92.11 37.23 0 0.00 0.00 3 7.89 27.27 38 100.00 29.01 37 75.51 38.95 10 20.41 52.63 2 4.08 20.00 49 100.00 39.52 18 75.00 33.96 4 16.67 40.00 2 8.33 22.22 24 100.00 33.33 16 84.21 27.59 1 5.26 33.33 2 10.53 28.57 19 100.00 27.94 32 71.11 34.04 11 24.44 44.00 2 4.44 22.22 45 100.00 35.16 246 76.64 36.50 53 16.51 35.81 22 6.85 29.33 321 100.00 35.79 255 49 17 321
TOTAL 311 422 164 897 109 77.86 100.00 19 13.57 100.00 12 8.57 100.00 140 100.00 100.00 94 75.20 100.00 20 16.00 100.00 11 8.80 100.00 125 100.00 100.00 77 70.64 100.00 26 23.85 100.00 6 5.50 100.00 109 100.00 100.00 94 71.76 100.00 26 19.85 100.00 11 8.40 100.00 131 100.00 100.00 95 76.61 100.00 19 15.32 100.00 10 8.06 100.00 124 100.00 100.00 53 73.61 100.00 10 13.89 100.00 9 12.50 100.00 72 100.00 100.00 58 85.29 100.00 3 4.41 100.00 7 10.29 100.00 68 100.00 100.00 94 73.44 100.00 25 19.53 100.00 9 7.03 100.00 128 100.00 100.00 674 75.14 100.00 148 16.50 100.00 75 8.36 100.00 897 100.00 100.00 713 137 47 897
South Korea Home Location Type City 236 336 147 719 92 77.31 62.59 19 15.97 50.00 8 6.72 57.14 119 100.00 59.80 70 68.63 63.64 18 17.65 58.06 14 13.73 63.64 102 100.00 62.58 82 78.10 63.57 13 12.38 65.00 10 9.52 71.43 105 100.00 64.42 72 69.23 61.02 23 22.12 79.31 9 8.65 60.00 104 100.00 64.20 71 81.61 66.36 11 12.64 73.33 5 5.75 55.56 87 100.00 66.41 44 77.19 68.75 12 21.05 75.00 1 1.75 25.00 57 100.00 67.86 43 74.14 68.25 9 15.52 52.94 6 10.34 66.67 58 100.00 65.17 63 72.41 55.75 15 17.24 71.43 9 10.34 60.00 87 100.00 58.39 537 74.69 63.10 120 16.69 64.17 62 8.62 60.78 719 100.00 63.07 545 129 45 719
Town 87 110 48 245 33 71.74 22.45 10 21.74 26.32 3 6.52 21.43 46 100.00 23.12 22 66.67 20.00 7 21.21 22.58 4 12.12 18.18 33 100.00 20.25 29 76.32 22.48 7 18.42 35.00 2 5.26 14.29 38 100.00 23.31 26 76.47 22.03 4 11.76 13.79 4 11.76 26.67 34 100.00 20.99 21 91.30 19.63 2 8.70 13.33 0 0.00 0.00 23 100.00 17.56 11 68.75 17.19 4 25.00 25.00 1 6.25 25.00 16 100.00 19.05 10 58.82 15.87 5 29.41 29.41 2 11.76 22.22 17 100.00 19.10 34 89.47 30.09 4 10.53 19.05 0 0.00 0.00 38 100.00 25.50 186 75.92 21.86 43 17.55 22.99 16 6.53 15.69 245 100.00 21.49 192 40 13 245
Rural 59 89 28 176 22 64.71 14.97 9 26.47 23.68 3 8.82 21.43 34 100.00 17.09 18 64.29 16.36 6 21.43 19.35 4 14.29 18.18 28 100.00 17.18 18 90.00 13.95 0 0.00 0.00 2 10.00 14.29 20 100.00 12.27 20 83.33 16.95 2 8.33 6.90 2 8.33 13.33 24 100.00 14.81 15 71.43 14.02 2 9.52 13.33 4 19.05 44.44 21 100.00 16.03 9 81.82 14.06 0 0.00 0.00 2 18.18 50.00 11 100.00 13.10 10 71.43 15.87 3 21.43 17.65 1 7.14 11.11 14 100.00 15.73 16 66.67 14.16 2 8.33 9.52 6 25.00 40.00 24 100.00 16.11 128 72.73 15.04 24 13.64 12.83 24 13.64 23.53 176 100.00 15.44 130 35 11 176
TOTAL 382 535 223 1140 147 73.87 100.00 38 19.10 100.00 14 7.04 100.00 199 100.00 100.00 110 67.48 100.00 31 19.02 100.00 22 13.50 100.00 163 100.00 100.00 129 79.14 100.00 20 12.27 100.00 14 8.59 100.00 163 100.00 100.00 118 72.84 100.00 29 17.90 100.00 15 9.26 100.00 162 100.00 100.00 107 81.68 100.00 15 11.45 100.00 9 6.87 100.00 131 100.00 100.00 64 76.19 100.00 16 19.05 100.00 4 4.76 100.00 84 100.00 100.00 63 70.79 100.00 17 19.10 100.00 9 10.11 100.00 89 100.00 100.00 113 75.84 100.00 21 14.09 100.00 15 10.07 100.00 149 100.00 100.00 851 74.65 100.00 187 16.40 100.00 102 8.95 100.00 1140 100.00 100.00 867 204 69 1140
USA Home Location Type City 374 551 206 1131 126 70.79 45.00 35 19.66 49.30 17 9.55 51.52 178 100.00 46.35 113 76.87 50.45 22 14.97 47.83 12 8.16 40.00 147 100.00 49.00 118 76.13 53.64 22 14.19 43.14 15 9.68 55.56 155 100.00 52.01 116 70.73 54.46 40 24.39 75.47 8 4.88 30.77 164 100.00 56.16 121 79.08 54.26 25 16.34 55.56 7 4.58 50.00 153 100.00 54.26 72 80.00 51.06 14 15.56 58.33 4 4.44 30.77 90 100.00 50.56 87 79.09 48.88 18 16.36 60.00 5 4.55 38.46 110 100.00 49.77 103 76.87 47.91 20 14.93 47.62 11 8.21 73.33 134 100.00 49.26 856 75.69 50.53 196 17.33 54.14 79 6.98 46.20 1131 100.00 50.79 888 194 49 1131
Town 242 313 127 682 93 74.40 33.21 23 18.40 32.39 9 7.20 27.27 125 100.00 32.55 72 74.23 32.14 12 12.37 26.09 13 13.40 43.33 97 100.00 32.33 67 74.44 30.45 16 17.78 31.37 7 7.78 25.93 90 100.00 30.20 69 78.41 32.39 8 9.09 15.09 11 12.50 42.31 88 100.00 30.14 64 79.01 28.70 12 14.81 26.67 5 6.17 35.71 81 100.00 28.72 45 77.59 31.91 7 12.07 29.17 6 10.34 46.15 58 100.00 32.58 49 83.05 27.53 5 8.47 16.67 5 8.47 38.46 59 100.00 26.70 67 79.76 31.16 15 17.86 35.71 2 2.38 13.33 84 100.00 30.88 526 77.13 31.05 98 14.37 27.07 58 8.50 33.92 682 100.00 30.62 537 115 30 682
Rural 139 195 80 414 61 75.31 21.79 13 16.05 18.31 7 8.64 21.21 81 100.00 21.09 39 69.64 17.41 12 21.43 26.09 5 8.93 16.67 56 100.00 18.67 35 66.04 15.91 13 24.53 25.49 5 9.43 18.52 53 100.00 17.79 28 70.00 13.15 5 12.50 9.43 7 17.50 26.92 40 100.00 13.70 38 79.17 17.04 8 16.67 17.78 2 4.17 14.29 48 100.00 17.02 24 80.00 17.02 3 10.00 12.50 3 10.00 23.08 30 100.00 16.85 42 80.77 23.60 7 13.46 23.33 3 5.77 23.08 52 100.00 23.53 45 83.33 20.93 7 12.96 16.67 2 3.70 13.33 54 100.00 19.85 312 75.36 18.42 68 16.43 18.78 34 8.21 19.88 414 100.00 18.59 330 68 16 414
TOTAL 755 1059 413 2227 280 72.92 100.00 71 18.49 100.00 33 8.59 100.00 384 100.00 100.00 224 74.67 100.00 46 15.33 100.00 30 10.00 100.00 300 100.00 100.00 220 73.83 100.00 51 17.11 100.00 27 9.06 100.00 298 100.00 100.00 213 72.95 100.00 53 18.15 100.00 26 8.90 100.00 292 100.00 100.00 223 79.08 100.00 45 15.96 100.00 14 4.96 100.00 282 100.00 100.00 141 79.21 100.00 24 13.48 100.00 13 7.30 100.00 178 100.00 100.00 178 80.54 100.00 30 13.57 100.00 13 5.88 100.00 221 100.00 100.00 215 79.04 100.00 42 15.44 100.00 15 5.51 100.00 272 100.00 100.00 1694 76.07 100.00 362 16.26 100.00 171 7.68 100.00 2227 100.00 100.00 1755 377 95 2227
TOTAL Home Location Type City 821 1218 461 2500 294 74.24 47.04 70 17.68 47.62 32 8.08 46.38 396 100.00 47.09 253 74.63 50.10 50 14.75 45.45 36 10.62 48.00 339 100.00 49.13 267 76.07 53.29 54 15.38 48.65 30 8.55 54.55 351 100.00 52.62 250 69.64 51.33 78 21.73 62.40 31 8.64 50.00 359 100.00 53.26 264 79.04 52.07 50 14.97 51.55 20 5.99 48.78 334 100.00 51.78 146 75.65 47.25 37 19.17 57.81 10 5.18 29.41 193 100.00 47.42 173 75.88 50.14 38 16.67 58.46 17 7.46 50.00 228 100.00 51.35 226 75.33 46.79 49 16.33 48.04 25 8.33 53.19 300 100.00 47.47 1873 74.92 49.79 426 17.04 51.89 201 8.04 48.20 2500 100.00 50.00 1948 428 124 2500
Town 481 624 265 1370 178 74.79 28.48 42 17.65 28.57 18 7.56 26.09 238 100.00 28.30 129 70.88 25.54 28 15.38 25.45 25 13.74 33.33 182 100.00 26.38 136 75.98 27.15 30 16.76 27.03 13 7.26 23.64 179 100.00 26.84 142 73.96 29.16 32 16.67 25.60 18 9.38 29.03 192 100.00 28.49 126 80.77 24.85 20 12.82 20.62 10 6.41 24.39 156 100.00 24.19 95 74.22 30.74 17 13.28 26.56 16 12.50 47.06 128 100.00 31.45 91 79.13 26.38 14 12.17 21.54 10 8.70 29.41 115 100.00 25.90 146 81.11 30.23 27 15.00 26.47 7 3.89 14.89 180 100.00 28.48 1043 76.13 27.72 210 15.33 25.58 117 8.54 28.06 1370 100.00 27.40 1084 223 63 1370
Rural 382 549 199 1130 153 73.91 24.48 35 16.91 23.81 19 9.18 27.54 207 100.00 24.61 123 72.78 24.36 32 18.93 29.09 14 8.28 18.67 169 100.00 24.49 98 71.53 19.56 27 19.71 24.32 12 8.76 21.82 137 100.00 20.54 95 77.24 19.51 15 12.20 12.00 13 10.57 20.97 123 100.00 18.25 117 75.48 23.08 27 17.42 27.84 11 7.10 26.83 155 100.00 24.03 68 79.07 22.01 10 11.63 15.62 8 9.30 23.53 86 100.00 21.13 81 80.20 23.48 13 12.87 20.00 7 6.93 20.59 101 100.00 22.75 111 73.03 22.98 26 17.11 25.49 15 9.87 31.91 152 100.00 24.05 846 74.87 22.49 185 16.37 22.53 99 8.76 23.74 1130 100.00 22.60 888 187 55 1130
TOTAL 1684 2391 925 5000 625 74.32 100.00 147 17.48 100.00 69 8.20 100.00 841 100.00 100.00 505 73.19 100.00 110 15.94 100.00 75 10.87 100.00 690 100.00 100.00 501 75.11 100.00 111 16.64 100.00 55 8.25 100.00 667 100.00 100.00 487 72.26 100.00 125 18.55 100.00 62 9.20 100.00 674 100.00 100.00 507 78.60 100.00 97 15.04 100.00 41 6.36 100.00 645 100.00 100.00 309 75.92 100.00 64 15.72 100.00 34 8.35 100.00 407 100.00 100.00 345 77.70 100.00 65 14.64 100.00 34 7.66 100.00 444 100.00 100.00 483 76.42 100.00 102 16.14 100.00 47 7.44 100.00 632 100.00 100.00 3762 75.24 100.00 821 16.42 100.00 417 8.34 100.00 5000 100.00 100.00 3920 838 242 5000
Home Location Type City 821 1218 461 2500 294 74.24 47.04 70 17.68 47.62 32 8.08 46.38 396 100.00 47.09 253 74.63 50.10 50 14.75 45.45 36 10.62 48.00 339 100.00 49.13 267 76.07 53.29 54 15.38 48.65 30 8.55 54.55 351 100.00 52.62 250 69.64 51.33 78 21.73 62.40 31 8.64 50.00 359 100.00 53.26 264 79.04 52.07 50 14.97 51.55 20 5.99 48.78 334 100.00 51.78 146 75.65 47.25 37 19.17 57.81 10 5.18 29.41 193 100.00 47.42 173 75.88 50.14 38 16.67 58.46 17 7.46 50.00 228 100.00 51.35 226 75.33 46.79 49 16.33 48.04 25 8.33 53.19 300 100.00 47.47 1873 74.92 49.79 426 17.04 51.89 201 8.04 48.20 2500 100.00 50.00 1948 428 124 2500
Town 481 624 265 1370 178 74.79 28.48 42 17.65 28.57 18 7.56 26.09 238 100.00 28.30 129 70.88 25.54 28 15.38 25.45 25 13.74 33.33 182 100.00 26.38 136 75.98 27.15 30 16.76 27.03 13 7.26 23.64 179 100.00 26.84 142 73.96 29.16 32 16.67 25.60 18 9.38 29.03 192 100.00 28.49 126 80.77 24.85 20 12.82 20.62 10 6.41 24.39 156 100.00 24.19 95 74.22 30.74 17 13.28 26.56 16 12.50 47.06 128 100.00 31.45 91 79.13 26.38 14 12.17 21.54 10 8.70 29.41 115 100.00 25.90 146 81.11 30.23 27 15.00 26.47 7 3.89 14.89 180 100.00 28.48 1043 76.13 27.72 210 15.33 25.58 117 8.54 28.06 1370 100.00 27.40 1084 223 63 1370
Rural 382 549 199 1130 153 73.91 24.48 35 16.91 23.81 19 9.18 27.54 207 100.00 24.61 123 72.78 24.36 32 18.93 29.09 14 8.28 18.67 169 100.00 24.49 98 71.53 19.56 27 19.71 24.32 12 8.76 21.82 137 100.00 20.54 95 77.24 19.51 15 12.20 12.00 13 10.57 20.97 123 100.00 18.25 117 75.48 23.08 27 17.42 27.84 11 7.10 26.83 155 100.00 24.03 68 79.07 22.01 10 11.63 15.62 8 9.30 23.53 86 100.00 21.13 81 80.20 23.48 13 12.87 20.00 7 6.93 20.59 101 100.00 22.75 111 73.03 22.98 26 17.11 25.49 15 9.87 31.91 152 100.00 24.05 846 74.87 22.49 185 16.37 22.53 99 8.76 23.74 1130 100.00 22.60 888 187 55 1130
TOTAL 1684 2391 925 5000 625 74.32 100.00 147 17.48 100.00 69 8.20 100.00 841 100.00 100.00 505 73.19 100.00 110 15.94 100.00 75 10.87 100.00 690 100.00 100.00 501 75.11 100.00 111 16.64 100.00 55 8.25 100.00 667 100.00 100.00 487 72.26 100.00 125 18.55 100.00 62 9.20 100.00 674 100.00 100.00 507 78.60 100.00 97 15.04 100.00 41 6.36 100.00 645 100.00 100.00 309 75.92 100.00 64 15.72 100.00 34 8.35 100.00 407 100.00 100.00 345 77.70 100.00 65 14.64 100.00 34 7.66 100.00 444 100.00 100.00 483 76.42 100.00 102 16.14 100.00 47 7.44 100.00 632 100.00 100.00 3762 75.24 100.00 821 16.42 100.00 417 8.34 100.00 5000 100.00 100.00 3920 838 242 5000
Car Aston Martin 7 11 6 24 2 100.00 0.32 0 0.00 0.00 0 0.00 0.00 2 100.00 0.24 1 100.00 0.20 0 0.00 0.00 0 0.00 0.00 1 100.00 0.14 2 66.67 0.40 1 33.33 0.90 0 0.00 0.00 3 100.00 0.45 2 100.00 0.41 0 0.00 0.00 0 0.00 0.00 2 100.00 0.30 5 83.33 0.99 1 16.67 1.03 0 0.00 0.00 6 100.00 0.93 3 100.00 0.97 0 0.00 0.00 0 0.00 0.00 3 100.00 0.74 2 100.00 0.58 0 0.00 0.00 0 0.00 0.00 2 100.00 0.45 4 80.00 0.83 1 20.00 0.98 0 0.00 0.00 5 100.00 0.79 21 87.50 0.56 3 12.50 0.37 0 0.00 0.00 24 100.00 0.48 16 6 2 24
Audi 28 39 15 82 9 75.00 1.44 3 25.00 2.04 0 0.00 0.00 12 100.00 1.43 11 73.33 2.18 4 26.67 3.64 0 0.00 0.00 15 100.00 2.17 12 85.71 2.40 1 7.14 0.90 1 7.14 1.82 14 100.00 2.10 13 86.67 2.67 0 0.00 0.00 2 13.33 3.23 15 100.00 2.23 8 80.00 1.58 0 0.00 0.00 2 20.00 4.88 10 100.00 1.55 2 100.00 0.65 0 0.00 0.00 0 0.00 0.00 2 100.00 0.49 6 100.00 1.74 0 0.00 0.00 0 0.00 0.00 6 100.00 1.35 5 62.50 1.04 3 37.50 2.94 0 0.00 0.00 8 100.00 1.27 66 80.49 1.75 11 13.41 1.34 5 6.10 1.20 82 100.00 1.64 56 19 7 82
BMW 30 45 10 85 14 82.35 2.24 2 11.76 1.36 1 5.88 1.45 17 100.00 2.02 8 80.00 1.58 0 0.00 0.00 2 20.00 2.67 10 100.00 1.45 5 55.56 1.00 3 33.33 2.70 1 11.11 1.82 9 100.00 1.35 10 83.33 2.05 2 16.67 1.60 0 0.00 0.00 12 100.00 1.78 13 81.25 2.56 2 12.50 2.06 1 6.25 2.44 16 100.00 2.48 7 87.50 2.27 0 0.00 0.00 1 12.50 2.94 8 100.00 1.97 6 85.71 1.74 0 0.00 0.00 1 14.29 2.94 7 100.00 1.58 4 66.67 0.83 0 0.00 0.00 2 33.33 4.26 6 100.00 0.95 67 78.82 1.78 9 10.59 1.10 9 10.59 2.16 85 100.00 1.70 71 12 2 85
Citroën 68 105 44 217 24 64.86 3.84 11 29.73 7.48 2 5.41 2.90 37 100.00 4.40 20 62.50 3.96 5 15.62 4.55 7 21.88 9.33 32 100.00 4.64 20 66.67 3.99 7 23.33 6.31 3 10.00 5.45 30 100.00 4.50 21 72.41 4.31 5 17.24 4.00 3 10.34 4.84 29 100.00 4.30 24 82.76 4.73 4 13.79 4.12 1 3.45 2.44 29 100.00 4.50 15 75.00 4.85 3 15.00 4.69 2 10.00 5.88 20 100.00 4.91 13 81.25 3.77 2 12.50 3.08 1 6.25 2.94 16 100.00 3.60 19 79.17 3.93 1 4.17 0.98 4 16.67 8.51 24 100.00 3.80 156 71.89 4.15 38 17.51 4.63 23 10.60 5.52 217 100.00 4.34 164 43 10 217
Ferrari 2 0 0 2 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 1 100.00 0.20 0 0.00 0.00 0 0.00 0.00 1 100.00 0.15 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 0.00 0.00 0 0.00 0.00 1 100.00 2.44 1 100.00 0.16 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 1 50.00 0.03 0 0.00 0.00 1 50.00 0.24 2 100.00 0.04 0 0 2 2
Fiat 57 81 32 170 23 88.46 3.68 1 3.85 0.68 2 7.69 2.90 26 100.00 3.09 11 55.00 2.18 8 40.00 7.27 1 5.00 1.33 20 100.00 2.90 13 72.22 2.59 4 22.22 3.60 1 5.56 1.82 18 100.00 2.70 14 60.87 2.87 5 21.74 4.00 4 17.39 6.45 23 100.00 3.41 21 87.50 4.14 3 12.50 3.09 0 0.00 0.00 24 100.00 3.72 12 70.59 3.88 1 5.88 1.56 4 23.53 11.76 17 100.00 4.18 13 81.25 3.77 2 12.50 3.08 1 6.25 2.94 16 100.00 3.60 16 61.54 3.31 5 19.23 4.90 5 19.23 10.64 26 100.00 4.11 123 72.35 3.27 29 17.06 3.53 18 10.59 4.32 170 100.00 3.40 132 33 5 170
Honda 71 82 27 180 20 80.00 3.20 3 12.00 2.04 2 8.00 2.90 25 100.00 2.97 15 83.33 2.97 3 16.67 2.73 0 0.00 0.00 18 100.00 2.61 27 77.14 5.39 3 8.57 2.70 5 14.29 9.09 35 100.00 5.25 13 100.00 2.67 0 0.00 0.00 0 0.00 0.00 13 100.00 1.93 16 69.57 3.16 5 21.74 5.15 2 8.70 4.88 23 100.00 3.57 12 63.16 3.88 6 31.58 9.38 1 5.26 2.94 19 100.00 4.67 14 82.35 4.06 2 11.76 3.08 1 5.88 2.94 17 100.00 3.83 24 80.00 4.97 5 16.67 4.90 1 3.33 2.13 30 100.00 4.75 141 78.33 3.75 27 15.00 3.29 12 6.67 2.88 180 100.00 3.60 134 35 11 180
Hyundai 93 114 51 258 29 80.56 4.64 7 19.44 4.76 0 0.00 0.00 36 100.00 4.28 32 72.73 6.34 5 11.36 4.55 7 15.91 9.33 44 100.00 6.38 27 75.00 5.39 5 13.89 4.50 4 11.11 7.27 36 100.00 5.40 20 64.52 4.11 9 29.03 7.20 2 6.45 3.23 31 100.00 4.60 23 85.19 4.54 3 11.11 3.09 1 3.70 2.44 27 100.00 4.19 20 76.92 6.47 5 19.23 7.81 1 3.85 2.94 26 100.00 6.39 25 86.21 7.25 3 10.34 4.62 1 3.45 2.94 29 100.00 6.53 25 86.21 5.18 3 10.34 2.94 1 3.45 2.13 29 100.00 4.59 201 77.91 5.34 40 15.50 4.87 17 6.59 4.08 258 100.00 5.16 202 44 12 258
Jaguar 36 34 14 84 14 82.35 2.24 2 11.76 1.36 1 5.88 1.45 17 100.00 2.02 7 70.00 1.39 1 10.00 0.91 2 20.00 2.67 10 100.00 1.45 6 66.67 1.20 3 33.33 2.70 0 0.00 0.00 9 100.00 1.35 8 66.67 1.64 3 25.00 2.40 1 8.33 1.61 12 100.00 1.78 9 81.82 1.78 2 18.18 2.06 0 0.00 0.00 11 100.00 1.71 7 77.78 2.27 1 11.11 1.56 1 11.11 2.94 9 100.00 2.21 6 66.67 1.74 2 22.22 3.08 1 11.11 2.94 9 100.00 2.03 5 71.43 1.04 2 28.57 1.96 0 0.00 0.00 7 100.00 1.11 62 73.81 1.65 16 19.05 1.95 6 7.14 1.44 84 100.00 1.68 68 12 4 84
Kia 79 133 43 255 26 57.78 4.16 16 35.56 10.88 3 6.67 4.35 45 100.00 5.35 32 80.00 6.34 5 12.50 4.55 3 7.50 4.00 40 100.00 5.80 26 66.67 5.19 10 25.64 9.01 3 7.69 5.45 39 100.00 5.85 25 78.12 5.13 3 9.38 2.40 4 12.50 6.45 32 100.00 4.75 25 73.53 4.93 6 17.65 6.19 3 8.82 7.32 34 100.00 5.27 11 73.33 3.56 3 20.00 4.69 1 6.67 2.94 15 100.00 3.69 19 82.61 5.51 2 8.70 3.08 2 8.70 5.88 23 100.00 5.18 24 88.89 4.97 3 11.11 2.94 0 0.00 0.00 27 100.00 4.27 188 73.73 5.00 48 18.82 5.85 19 7.45 4.56 255 100.00 5.10 204 37 14 255
Lamborghini 4 5 1 10 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 2 66.67 0.40 0 0.00 0.00 1 33.33 1.33 3 100.00 0.43 2 66.67 0.40 1 33.33 0.90 0 0.00 0.00 3 100.00 0.45 2 100.00 0.41 0 0.00 0.00 0 0.00 0.00 2 100.00 0.30 1 50.00 0.20 1 50.00 1.03 0 0.00 0.00 2 100.00 0.31 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 7 70.00 0.19 2 20.00 0.24 1 10.00 0.24 10 100.00 0.20 8 2 0 10
Maserati 13 10 4 27 1 100.00 0.16 0 0.00 0.00 0 0.00 0.00 1 100.00 0.12 5 83.33 0.99 1 16.67 0.91 0 0.00 0.00 6 100.00 0.87 2 66.67 0.40 1 33.33 0.90 0 0.00 0.00 3 100.00 0.45 4 100.00 0.82 0 0.00 0.00 0 0.00 0.00 4 100.00 0.59 4 80.00 0.79 1 20.00 1.03 0 0.00 0.00 5 100.00 0.78 2 66.67 0.65 0 0.00 0.00 1 33.33 2.94 3 100.00 0.74 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 5 100.00 1.04 0 0.00 0.00 0 0.00 0.00 5 100.00 0.79 23 85.19 0.61 3 11.11 0.37 1 3.70 0.24 27 100.00 0.54 21 3 3 27
Mazda 118 149 57 324 40 75.47 6.40 9 16.98 6.12 4 7.55 5.80 53 100.00 6.30 41 85.42 8.12 6 12.50 5.45 1 2.08 1.33 48 100.00 6.96 33 76.74 6.59 7 16.28 6.31 3 6.98 5.45 43 100.00 6.45 26 70.27 5.34 7 18.92 5.60 4 10.81 6.45 37 100.00 5.49 30 66.67 5.92 9 20.00 9.28 6 13.33 14.63 45 100.00 6.98 21 70.00 6.80 6 20.00 9.38 3 10.00 8.82 30 100.00 7.37 21 77.78 6.09 5 18.52 7.69 1 3.70 2.94 27 100.00 6.08 33 80.49 6.83 5 12.20 4.90 3 7.32 6.38 41 100.00 6.49 245 75.62 6.51 54 16.67 6.58 25 7.72 6.00 324 100.00 6.48 270 45 9 324
Mercedes 33 43 12 88 7 63.64 1.12 4 36.36 2.72 0 0.00 0.00 11 100.00 1.31 14 93.33 2.77 0 0.00 0.00 1 6.67 1.33 15 100.00 2.17 8 72.73 1.60 3 27.27 2.70 0 0.00 0.00 11 100.00 1.65 9 75.00 1.85 3 25.00 2.40 0 0.00 0.00 12 100.00 1.78 16 100.00 3.16 0 0.00 0.00 0 0.00 0.00 16 100.00 2.48 2 66.67 0.65 1 33.33 1.56 0 0.00 0.00 3 100.00 0.74 5 71.43 1.45 1 14.29 1.54 1 14.29 2.94 7 100.00 1.58 9 69.23 1.86 3 23.08 2.94 1 7.69 2.13 13 100.00 2.06 70 79.55 1.86 15 17.05 1.83 3 3.41 0.72 88 100.00 1.76 68 13 7 88
Mini 120 138 71 329 35 72.92 5.60 8 16.67 5.44 5 10.42 7.25 48 100.00 5.71 32 78.05 6.34 9 21.95 8.18 0 0.00 0.00 41 100.00 5.94 37 88.10 7.39 3 7.14 2.70 2 4.76 3.64 42 100.00 6.30 30 76.92 6.16 5 12.82 4.00 4 10.26 6.45 39 100.00 5.79 31 68.89 6.11 12 26.67 12.37 2 4.44 4.88 45 100.00 6.98 14 73.68 4.53 3 15.79 4.69 2 10.53 5.88 19 100.00 4.67 29 82.86 8.41 5 14.29 7.69 1 2.86 2.94 35 100.00 7.88 50 83.33 10.35 5 8.33 4.90 5 8.33 10.64 60 100.00 9.49 258 78.42 6.86 50 15.20 6.09 21 6.38 5.04 329 100.00 6.58 267 43 19 329
Mitsubishi 109 165 57 331 42 70.00 6.72 11 18.33 7.48 7 11.67 10.14 60 100.00 7.13 32 72.73 6.34 6 13.64 5.45 6 13.64 8.00 44 100.00 6.38 28 71.79 5.59 10 25.64 9.01 1 2.56 1.82 39 100.00 5.85 32 74.42 6.57 5 11.63 4.00 6 13.95 9.68 43 100.00 6.38 32 82.05 6.31 3 7.69 3.09 4 10.26 9.76 39 100.00 6.05 28 84.85 9.06 2 6.06 3.12 3 9.09 8.82 33 100.00 8.11 28 75.68 8.12 6 16.22 9.23 3 8.11 8.82 37 100.00 8.33 27 75.00 5.59 6 16.67 5.88 3 8.33 6.38 36 100.00 5.70 249 75.23 6.62 49 14.80 5.97 33 9.97 7.91 331 100.00 6.62 256 56 19 331
Nissan 110 159 65 334 48 80.00 7.68 8 13.33 5.44 4 6.67 5.80 60 100.00 7.13 39 79.59 7.72 6 12.24 5.45 4 8.16 5.33 49 100.00 7.10 24 66.67 4.79 8 22.22 7.21 4 11.11 7.27 36 100.00 5.40 40 76.92 8.21 8 15.38 6.40 4 7.69 6.45 52 100.00 7.72 42 82.35 8.28 7 13.73 7.22 2 3.92 4.88 51 100.00 7.91 23 88.46 7.44 3 11.54 4.69 0 0.00 0.00 26 100.00 6.39 16 61.54 4.64 8 30.77 12.31 2 7.69 5.88 26 100.00 5.86 22 64.71 4.55 9 26.47 8.82 3 8.82 6.38 34 100.00 5.38 254 76.05 6.75 57 17.07 6.94 23 6.89 5.52 334 100.00 6.68 260 58 16 334
Peugeot 54 120 39 213 23 67.65 3.68 7 20.59 4.76 4 11.76 5.80 34 100.00 4.04 18 72.00 3.56 4 16.00 3.64 3 12.00 4.00 25 100.00 3.62 22 91.67 4.39 2 8.33 1.80 0 0.00 0.00 24 100.00 3.60 28 75.68 5.75 6 16.22 4.80 3 8.11 4.84 37 100.00 5.49 24 88.89 4.73 2 7.41 2.06 1 3.70 2.44 27 100.00 4.19 13 81.25 4.21 3 18.75 4.69 0 0.00 0.00 16 100.00 3.93 16 69.57 4.64 1 4.35 1.54 6 26.09 17.65 23 100.00 5.18 19 70.37 3.93 6 22.22 5.88 2 7.41 4.26 27 100.00 4.27 163 76.53 4.33 31 14.55 3.78 19 8.92 4.56 213 100.00 4.26 164 38 11 213
Porsche 19 45 10 74 11 91.67 1.76 1 8.33 0.68 0 0.00 0.00 12 100.00 1.43 7 53.85 1.39 4 30.77 3.64 2 15.38 2.67 13 100.00 1.88 3 42.86 0.60 2 28.57 1.80 2 28.57 3.64 7 100.00 1.05 5 71.43 1.03 2 28.57 1.60 0 0.00 0.00 7 100.00 1.04 9 81.82 1.78 2 18.18 2.06 0 0.00 0.00 11 100.00 1.71 4 57.14 1.29 1 14.29 1.56 2 28.57 5.88 7 100.00 1.72 7 100.00 2.03 0 0.00 0.00 0 0.00 0.00 7 100.00 1.58 9 90.00 1.86 1 10.00 0.98 0 0.00 0.00 10 100.00 1.58 55 74.32 1.46 13 17.57 1.58 6 8.11 1.44 74 100.00 1.48 55 16 3 74
Renault 88 127 53 268 37 75.51 5.92 4 8.16 2.72 8 16.33 11.59 49 100.00 5.83 27 77.14 5.35 3 8.57 2.73 5 14.29 6.67 35 100.00 5.07 19 79.17 3.79 2 8.33 1.80 3 12.50 5.45 24 100.00 3.60 34 80.95 6.98 3 7.14 2.40 5 11.90 8.06 42 100.00 6.23 24 80.00 4.73 3 10.00 3.09 3 10.00 7.32 30 100.00 4.65 17 68.00 5.50 4 16.00 6.25 4 16.00 11.76 25 100.00 6.14 14 53.85 4.06 6 23.08 9.23 6 23.08 17.65 26 100.00 5.86 31 83.78 6.42 2 5.41 1.96 4 10.81 8.51 37 100.00 5.85 203 75.75 5.40 27 10.07 3.29 38 14.18 9.11 268 100.00 5.36 210 43 15 268
Rolls Royce 13 9 8 30 5 83.33 0.80 1 16.67 0.68 0 0.00 0.00 6 100.00 0.71 2 66.67 0.40 0 0.00 0.00 1 33.33 1.33 3 100.00 0.43 4 80.00 0.80 0 0.00 0.00 1 20.00 1.82 5 100.00 0.75 2 66.67 0.41 1 33.33 0.80 0 0.00 0.00 3 100.00 0.45 5 83.33 0.99 1 16.67 1.03 0 0.00 0.00 6 100.00 0.93 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 3 100.00 0.87 0 0.00 0.00 0 0.00 0.00 3 100.00 0.68 4 100.00 0.83 0 0.00 0.00 0 0.00 0.00 4 100.00 0.63 25 83.33 0.66 3 10.00 0.37 2 6.67 0.48 30 100.00 0.60 25 4 1 30
Suzuki 56 76 34 166 24 80.00 3.84 4 13.33 2.72 2 6.67 2.90 30 100.00 3.57 18 69.23 3.56 3 11.54 2.73 5 19.23 6.67 26 100.00 3.77 14 63.64 2.79 4 18.18 3.60 4 18.18 7.27 22 100.00 3.30 8 50.00 1.64 7 43.75 5.60 1 6.25 1.61 16 100.00 2.37 12 70.59 2.37 4 23.53 4.12 1 5.88 2.44 17 100.00 2.64 10 76.92 3.24 2 15.38 3.12 1 7.69 2.94 13 100.00 3.19 10 71.43 2.90 3 21.43 4.62 1 7.14 2.94 14 100.00 3.15 22 78.57 4.55 5 17.86 4.90 1 3.57 2.13 28 100.00 4.43 118 71.08 3.14 32 19.28 3.90 16 9.64 3.84 166 100.00 3.32 133 23 10 166
Tesla 197 310 105 612 81 75.00 12.96 20 18.52 13.61 7 6.48 10.14 108 100.00 12.84 53 67.09 10.50 17 21.52 15.45 9 11.39 12.00 79 100.00 11.45 71 73.20 14.17 17 17.53 15.32 9 9.28 16.36 97 100.00 14.54 55 62.50 11.29 25 28.41 20.00 8 9.09 12.90 88 100.00 13.06 54 73.97 10.65 16 21.92 16.49 3 4.11 7.32 73 100.00 11.32 37 78.72 11.97 8 17.02 12.50 2 4.26 5.88 47 100.00 11.55 35 77.78 10.14 5 11.11 7.69 5 11.11 14.71 45 100.00 10.14 53 70.67 10.97 17 22.67 16.67 5 6.67 10.64 75 100.00 11.87 439 71.73 11.67 125 20.42 15.23 48 7.84 11.51 612 100.00 12.24 482 107 23 612
Toyota 160 228 95 483 66 71.74 10.56 16 17.39 10.88 10 10.87 14.49 92 100.00 10.94 40 70.18 7.92 10 17.54 9.09 7 12.28 9.33 57 100.00 8.26 55 85.94 10.98 6 9.38 5.41 3 4.69 5.45 64 100.00 9.60 52 67.53 10.68 17 22.08 13.60 8 10.39 12.90 77 100.00 11.42 44 81.48 8.68 4 7.41 4.12 6 11.11 14.63 54 100.00 8.37 30 69.77 9.71 9 20.93 14.06 4 9.30 11.76 43 100.00 10.57 33 82.50 9.57 7 17.50 10.77 0 0.00 0.00 40 100.00 9.01 41 73.21 8.49 11 19.64 10.78 4 7.14 8.51 56 100.00 8.86 361 74.74 9.60 80 16.56 9.74 42 8.70 10.07 483 100.00 9.66 384 78 21 483
Volkswagen 119 163 72 354 44 73.33 7.04 9 15.00 6.12 7 11.67 10.14 60 100.00 7.13 38 67.86 7.52 10 17.86 9.09 8 14.29 10.67 56 100.00 8.12 40 75.47 7.98 8 15.09 7.21 5 9.43 9.09 53 100.00 7.95 34 73.91 6.98 9 19.57 7.20 3 6.52 4.84 46 100.00 6.82 35 81.40 6.90 6 13.95 6.19 2 4.65 4.88 43 100.00 6.67 19 82.61 6.15 3 13.04 4.69 1 4.35 2.94 23 100.00 5.65 24 82.76 6.96 5 17.24 7.69 0 0.00 0.00 29 100.00 6.53 32 72.73 6.63 9 20.45 8.82 3 6.82 6.38 44 100.00 6.96 266 75.14 7.07 59 16.67 7.19 29 8.19 6.95 354 100.00 7.08 270 68 16 354
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Cross Tab (CrossTabDesign)

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Sleep Group Age Group Tertiary Qualifications
Under 7 hours 7 to <9 hours 9+ hours TOTAL <20 20 to <30 30 to <40 40 to <50 50 to <60 60 to <70 70 to <80 80+ TOTAL No Qualifications Undergraduate Postgraduate TOTAL
Handedness Handedness Handedness Handedness Handedness Handedness Handedness Handedness Handedness
Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL Right Left Ambidextrous TOTAL
Freq Freq Freq Freq Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Freq Freq Freq
Country Denmark Home Location Type City 97 171 50 318 34 72.34 38.20 9 19.15 47.37 4 8.51 40.00 47 100.00 39.83 38 86.36 49.35 3 6.82 23.08 3 6.82 25.00 44 100.00 43.14 35 72.92 46.67 9 18.75 64.29 4 8.33 50.00 48 100.00 49.48 30 73.17 48.39 4 9.76 23.53 7 17.07 70.00 41 100.00 46.07 35 74.47 42.68 8 17.02 44.44 4 8.51 50.00 47 100.00 43.52 20 66.67 39.22 7 23.33 50.00 3 10.00 37.50 30 100.00 41.10 19 61.29 41.30 9 29.03 60.00 3 9.68 60.00 31 100.00 46.97 25 83.33 40.98 5 16.67 35.71 0 0.00 0.00 30 100.00 36.14 236 74.21 43.46 54 16.98 43.55 28 8.81 40.58 318 100.00 43.21 253 54 11 318
Town 72 87 40 199 25 75.76 28.09 5 15.15 26.32 3 9.09 30.00 33 100.00 27.97 17 58.62 22.08 5 17.24 38.46 7 24.14 58.33 29 100.00 28.43 19 90.48 25.33 1 4.76 7.14 1 4.76 12.50 21 100.00 21.65 20 74.07 32.26 5 18.52 29.41 2 7.41 20.00 27 100.00 30.34 20 83.33 24.39 3 12.50 16.67 1 4.17 12.50 24 100.00 22.22 14 63.64 27.45 4 18.18 28.57 4 18.18 50.00 22 100.00 30.14 14 73.68 30.43 4 21.05 26.67 1 5.26 20.00 19 100.00 28.79 18 75.00 29.51 3 12.50 21.43 3 12.50 37.50 24 100.00 28.92 147 73.87 27.07 30 15.08 24.19 22 11.06 31.88 199 100.00 27.04 159 31 9 199
Rural 67 117 35 219 30 78.95 33.71 5 13.16 26.32 3 7.89 30.00 38 100.00 32.20 22 75.86 28.57 5 17.24 38.46 2 6.90 16.67 29 100.00 28.43 21 75.00 28.00 4 14.29 28.57 3 10.71 37.50 28 100.00 28.87 12 57.14 19.35 8 38.10 47.06 1 4.76 10.00 21 100.00 23.60 27 72.97 32.93 7 18.92 38.89 3 8.11 37.50 37 100.00 34.26 17 80.95 33.33 3 14.29 21.43 1 4.76 12.50 21 100.00 28.77 13 81.25 28.26 2 12.50 13.33 1 6.25 20.00 16 100.00 24.24 18 62.07 29.51 6 20.69 42.86 5 17.24 62.50 29 100.00 34.94 160 73.06 29.47 40 18.26 32.26 19 8.68 27.54 219 100.00 29.76 173 35 11 219
TOTAL 236 375 125 736 89 75.42 100.00 19 16.10 100.00 10 8.47 100.00 118 100.00 100.00 77 75.49 100.00 13 12.75 100.00 12 11.76 100.00 102 100.00 100.00 75 77.32 100.00 14 14.43 100.00 8 8.25 100.00 97 100.00 100.00 62 69.66 100.00 17 19.10 100.00 10 11.24 100.00 89 100.00 100.00 82 75.93 100.00 18 16.67 100.00 8 7.41 100.00 108 100.00 100.00 51 69.86 100.00 14 19.18 100.00 8 10.96 100.00 73 100.00 100.00 46 69.70 100.00 15 22.73 100.00 5 7.58 100.00 66 100.00 100.00 61 73.49 100.00 14 16.87 100.00 8 9.64 100.00 83 100.00 100.00 543 73.78 100.00 124 16.85 100.00 69 9.38 100.00 736 100.00 100.00 585 120 31 736
NZ Home Location Type City 114 160 58 332 42 80.77 38.53 7 13.46 36.84 3 5.77 25.00 52 100.00 37.14 32 69.57 34.04 7 15.22 35.00 7 15.22 63.64 46 100.00 36.80 32 74.42 41.56 10 23.26 38.46 1 2.33 16.67 43 100.00 39.45 32 64.00 34.04 11 22.00 42.31 7 14.00 63.64 50 100.00 38.17 37 78.72 38.95 6 12.77 31.58 4 8.51 40.00 47 100.00 37.90 10 62.50 18.87 4 25.00 40.00 2 12.50 22.22 16 100.00 22.22 24 82.76 41.38 2 6.90 66.67 3 10.34 42.86 29 100.00 42.65 35 71.43 37.23 9 18.37 36.00 5 10.20 55.56 49 100.00 38.28 244 73.49 36.20 56 16.87 37.84 32 9.64 42.67 332 100.00 37.01 262 51 19 332
Town 80 114 50 244 27 79.41 24.77 4 11.76 21.05 3 8.82 25.00 34 100.00 24.29 18 78.26 19.15 4 17.39 20.00 1 4.35 9.09 23 100.00 18.40 21 70.00 27.27 6 20.00 23.08 3 10.00 50.00 30 100.00 27.52 27 62.79 28.72 15 34.88 57.69 1 2.33 9.09 43 100.00 32.82 21 75.00 22.11 3 10.71 15.79 4 14.29 40.00 28 100.00 22.58 25 78.12 47.17 2 6.25 20.00 5 15.62 55.56 32 100.00 44.44 18 90.00 31.03 0 0.00 0.00 2 10.00 28.57 20 100.00 29.41 27 79.41 28.72 5 14.71 20.00 2 5.88 22.22 34 100.00 26.56 184 75.41 27.30 39 15.98 26.35 21 8.61 28.00 244 100.00 27.20 196 37 11 244
Rural 117 148 56 321 40 74.07 36.70 8 14.81 42.11 6 11.11 50.00 54 100.00 38.57 44 78.57 46.81 9 16.07 45.00 3 5.36 27.27 56 100.00 44.80 24 66.67 31.17 10 27.78 38.46 2 5.56 33.33 36 100.00 33.03 35 92.11 37.23 0 0.00 0.00 3 7.89 27.27 38 100.00 29.01 37 75.51 38.95 10 20.41 52.63 2 4.08 20.00 49 100.00 39.52 18 75.00 33.96 4 16.67 40.00 2 8.33 22.22 24 100.00 33.33 16 84.21 27.59 1 5.26 33.33 2 10.53 28.57 19 100.00 27.94 32 71.11 34.04 11 24.44 44.00 2 4.44 22.22 45 100.00 35.16 246 76.64 36.50 53 16.51 35.81 22 6.85 29.33 321 100.00 35.79 255 49 17 321
TOTAL 311 422 164 897 109 77.86 100.00 19 13.57 100.00 12 8.57 100.00 140 100.00 100.00 94 75.20 100.00 20 16.00 100.00 11 8.80 100.00 125 100.00 100.00 77 70.64 100.00 26 23.85 100.00 6 5.50 100.00 109 100.00 100.00 94 71.76 100.00 26 19.85 100.00 11 8.40 100.00 131 100.00 100.00 95 76.61 100.00 19 15.32 100.00 10 8.06 100.00 124 100.00 100.00 53 73.61 100.00 10 13.89 100.00 9 12.50 100.00 72 100.00 100.00 58 85.29 100.00 3 4.41 100.00 7 10.29 100.00 68 100.00 100.00 94 73.44 100.00 25 19.53 100.00 9 7.03 100.00 128 100.00 100.00 674 75.14 100.00 148 16.50 100.00 75 8.36 100.00 897 100.00 100.00 713 137 47 897
South Korea Home Location Type City 236 336 147 719 92 77.31 62.59 19 15.97 50.00 8 6.72 57.14 119 100.00 59.80 70 68.63 63.64 18 17.65 58.06 14 13.73 63.64 102 100.00 62.58 82 78.10 63.57 13 12.38 65.00 10 9.52 71.43 105 100.00 64.42 72 69.23 61.02 23 22.12 79.31 9 8.65 60.00 104 100.00 64.20 71 81.61 66.36 11 12.64 73.33 5 5.75 55.56 87 100.00 66.41 44 77.19 68.75 12 21.05 75.00 1 1.75 25.00 57 100.00 67.86 43 74.14 68.25 9 15.52 52.94 6 10.34 66.67 58 100.00 65.17 63 72.41 55.75 15 17.24 71.43 9 10.34 60.00 87 100.00 58.39 537 74.69 63.10 120 16.69 64.17 62 8.62 60.78 719 100.00 63.07 545 129 45 719
Town 87 110 48 245 33 71.74 22.45 10 21.74 26.32 3 6.52 21.43 46 100.00 23.12 22 66.67 20.00 7 21.21 22.58 4 12.12 18.18 33 100.00 20.25 29 76.32 22.48 7 18.42 35.00 2 5.26 14.29 38 100.00 23.31 26 76.47 22.03 4 11.76 13.79 4 11.76 26.67 34 100.00 20.99 21 91.30 19.63 2 8.70 13.33 0 0.00 0.00 23 100.00 17.56 11 68.75 17.19 4 25.00 25.00 1 6.25 25.00 16 100.00 19.05 10 58.82 15.87 5 29.41 29.41 2 11.76 22.22 17 100.00 19.10 34 89.47 30.09 4 10.53 19.05 0 0.00 0.00 38 100.00 25.50 186 75.92 21.86 43 17.55 22.99 16 6.53 15.69 245 100.00 21.49 192 40 13 245
Rural 59 89 28 176 22 64.71 14.97 9 26.47 23.68 3 8.82 21.43 34 100.00 17.09 18 64.29 16.36 6 21.43 19.35 4 14.29 18.18 28 100.00 17.18 18 90.00 13.95 0 0.00 0.00 2 10.00 14.29 20 100.00 12.27 20 83.33 16.95 2 8.33 6.90 2 8.33 13.33 24 100.00 14.81 15 71.43 14.02 2 9.52 13.33 4 19.05 44.44 21 100.00 16.03 9 81.82 14.06 0 0.00 0.00 2 18.18 50.00 11 100.00 13.10 10 71.43 15.87 3 21.43 17.65 1 7.14 11.11 14 100.00 15.73 16 66.67 14.16 2 8.33 9.52 6 25.00 40.00 24 100.00 16.11 128 72.73 15.04 24 13.64 12.83 24 13.64 23.53 176 100.00 15.44 130 35 11 176
TOTAL 382 535 223 1140 147 73.87 100.00 38 19.10 100.00 14 7.04 100.00 199 100.00 100.00 110 67.48 100.00 31 19.02 100.00 22 13.50 100.00 163 100.00 100.00 129 79.14 100.00 20 12.27 100.00 14 8.59 100.00 163 100.00 100.00 118 72.84 100.00 29 17.90 100.00 15 9.26 100.00 162 100.00 100.00 107 81.68 100.00 15 11.45 100.00 9 6.87 100.00 131 100.00 100.00 64 76.19 100.00 16 19.05 100.00 4 4.76 100.00 84 100.00 100.00 63 70.79 100.00 17 19.10 100.00 9 10.11 100.00 89 100.00 100.00 113 75.84 100.00 21 14.09 100.00 15 10.07 100.00 149 100.00 100.00 851 74.65 100.00 187 16.40 100.00 102 8.95 100.00 1140 100.00 100.00 867 204 69 1140
USA Home Location Type City 374 551 206 1131 126 70.79 45.00 35 19.66 49.30 17 9.55 51.52 178 100.00 46.35 113 76.87 50.45 22 14.97 47.83 12 8.16 40.00 147 100.00 49.00 118 76.13 53.64 22 14.19 43.14 15 9.68 55.56 155 100.00 52.01 116 70.73 54.46 40 24.39 75.47 8 4.88 30.77 164 100.00 56.16 121 79.08 54.26 25 16.34 55.56 7 4.58 50.00 153 100.00 54.26 72 80.00 51.06 14 15.56 58.33 4 4.44 30.77 90 100.00 50.56 87 79.09 48.88 18 16.36 60.00 5 4.55 38.46 110 100.00 49.77 103 76.87 47.91 20 14.93 47.62 11 8.21 73.33 134 100.00 49.26 856 75.69 50.53 196 17.33 54.14 79 6.98 46.20 1131 100.00 50.79 888 194 49 1131
Town 242 313 127 682 93 74.40 33.21 23 18.40 32.39 9 7.20 27.27 125 100.00 32.55 72 74.23 32.14 12 12.37 26.09 13 13.40 43.33 97 100.00 32.33 67 74.44 30.45 16 17.78 31.37 7 7.78 25.93 90 100.00 30.20 69 78.41 32.39 8 9.09 15.09 11 12.50 42.31 88 100.00 30.14 64 79.01 28.70 12 14.81 26.67 5 6.17 35.71 81 100.00 28.72 45 77.59 31.91 7 12.07 29.17 6 10.34 46.15 58 100.00 32.58 49 83.05 27.53 5 8.47 16.67 5 8.47 38.46 59 100.00 26.70 67 79.76 31.16 15 17.86 35.71 2 2.38 13.33 84 100.00 30.88 526 77.13 31.05 98 14.37 27.07 58 8.50 33.92 682 100.00 30.62 537 115 30 682
Rural 139 195 80 414 61 75.31 21.79 13 16.05 18.31 7 8.64 21.21 81 100.00 21.09 39 69.64 17.41 12 21.43 26.09 5 8.93 16.67 56 100.00 18.67 35 66.04 15.91 13 24.53 25.49 5 9.43 18.52 53 100.00 17.79 28 70.00 13.15 5 12.50 9.43 7 17.50 26.92 40 100.00 13.70 38 79.17 17.04 8 16.67 17.78 2 4.17 14.29 48 100.00 17.02 24 80.00 17.02 3 10.00 12.50 3 10.00 23.08 30 100.00 16.85 42 80.77 23.60 7 13.46 23.33 3 5.77 23.08 52 100.00 23.53 45 83.33 20.93 7 12.96 16.67 2 3.70 13.33 54 100.00 19.85 312 75.36 18.42 68 16.43 18.78 34 8.21 19.88 414 100.00 18.59 330 68 16 414
TOTAL 755 1059 413 2227 280 72.92 100.00 71 18.49 100.00 33 8.59 100.00 384 100.00 100.00 224 74.67 100.00 46 15.33 100.00 30 10.00 100.00 300 100.00 100.00 220 73.83 100.00 51 17.11 100.00 27 9.06 100.00 298 100.00 100.00 213 72.95 100.00 53 18.15 100.00 26 8.90 100.00 292 100.00 100.00 223 79.08 100.00 45 15.96 100.00 14 4.96 100.00 282 100.00 100.00 141 79.21 100.00 24 13.48 100.00 13 7.30 100.00 178 100.00 100.00 178 80.54 100.00 30 13.57 100.00 13 5.88 100.00 221 100.00 100.00 215 79.04 100.00 42 15.44 100.00 15 5.51 100.00 272 100.00 100.00 1694 76.07 100.00 362 16.26 100.00 171 7.68 100.00 2227 100.00 100.00 1755 377 95 2227
TOTAL Home Location Type City 821 1218 461 2500 294 74.24 47.04 70 17.68 47.62 32 8.08 46.38 396 100.00 47.09 253 74.63 50.10 50 14.75 45.45 36 10.62 48.00 339 100.00 49.13 267 76.07 53.29 54 15.38 48.65 30 8.55 54.55 351 100.00 52.62 250 69.64 51.33 78 21.73 62.40 31 8.64 50.00 359 100.00 53.26 264 79.04 52.07 50 14.97 51.55 20 5.99 48.78 334 100.00 51.78 146 75.65 47.25 37 19.17 57.81 10 5.18 29.41 193 100.00 47.42 173 75.88 50.14 38 16.67 58.46 17 7.46 50.00 228 100.00 51.35 226 75.33 46.79 49 16.33 48.04 25 8.33 53.19 300 100.00 47.47 1873 74.92 49.79 426 17.04 51.89 201 8.04 48.20 2500 100.00 50.00 1948 428 124 2500
Town 481 624 265 1370 178 74.79 28.48 42 17.65 28.57 18 7.56 26.09 238 100.00 28.30 129 70.88 25.54 28 15.38 25.45 25 13.74 33.33 182 100.00 26.38 136 75.98 27.15 30 16.76 27.03 13 7.26 23.64 179 100.00 26.84 142 73.96 29.16 32 16.67 25.60 18 9.38 29.03 192 100.00 28.49 126 80.77 24.85 20 12.82 20.62 10 6.41 24.39 156 100.00 24.19 95 74.22 30.74 17 13.28 26.56 16 12.50 47.06 128 100.00 31.45 91 79.13 26.38 14 12.17 21.54 10 8.70 29.41 115 100.00 25.90 146 81.11 30.23 27 15.00 26.47 7 3.89 14.89 180 100.00 28.48 1043 76.13 27.72 210 15.33 25.58 117 8.54 28.06 1370 100.00 27.40 1084 223 63 1370
Rural 382 549 199 1130 153 73.91 24.48 35 16.91 23.81 19 9.18 27.54 207 100.00 24.61 123 72.78 24.36 32 18.93 29.09 14 8.28 18.67 169 100.00 24.49 98 71.53 19.56 27 19.71 24.32 12 8.76 21.82 137 100.00 20.54 95 77.24 19.51 15 12.20 12.00 13 10.57 20.97 123 100.00 18.25 117 75.48 23.08 27 17.42 27.84 11 7.10 26.83 155 100.00 24.03 68 79.07 22.01 10 11.63 15.62 8 9.30 23.53 86 100.00 21.13 81 80.20 23.48 13 12.87 20.00 7 6.93 20.59 101 100.00 22.75 111 73.03 22.98 26 17.11 25.49 15 9.87 31.91 152 100.00 24.05 846 74.87 22.49 185 16.37 22.53 99 8.76 23.74 1130 100.00 22.60 888 187 55 1130
TOTAL 1684 2391 925 5000 625 74.32 100.00 147 17.48 100.00 69 8.20 100.00 841 100.00 100.00 505 73.19 100.00 110 15.94 100.00 75 10.87 100.00 690 100.00 100.00 501 75.11 100.00 111 16.64 100.00 55 8.25 100.00 667 100.00 100.00 487 72.26 100.00 125 18.55 100.00 62 9.20 100.00 674 100.00 100.00 507 78.60 100.00 97 15.04 100.00 41 6.36 100.00 645 100.00 100.00 309 75.92 100.00 64 15.72 100.00 34 8.35 100.00 407 100.00 100.00 345 77.70 100.00 65 14.64 100.00 34 7.66 100.00 444 100.00 100.00 483 76.42 100.00 102 16.14 100.00 47 7.44 100.00 632 100.00 100.00 3762 75.24 100.00 821 16.42 100.00 417 8.34 100.00 5000 100.00 100.00 3920 838 242 5000
Home Location Type City 821 1218 461 2500 294 74.24 47.04 70 17.68 47.62 32 8.08 46.38 396 100.00 47.09 253 74.63 50.10 50 14.75 45.45 36 10.62 48.00 339 100.00 49.13 267 76.07 53.29 54 15.38 48.65 30 8.55 54.55 351 100.00 52.62 250 69.64 51.33 78 21.73 62.40 31 8.64 50.00 359 100.00 53.26 264 79.04 52.07 50 14.97 51.55 20 5.99 48.78 334 100.00 51.78 146 75.65 47.25 37 19.17 57.81 10 5.18 29.41 193 100.00 47.42 173 75.88 50.14 38 16.67 58.46 17 7.46 50.00 228 100.00 51.35 226 75.33 46.79 49 16.33 48.04 25 8.33 53.19 300 100.00 47.47 1873 74.92 49.79 426 17.04 51.89 201 8.04 48.20 2500 100.00 50.00 1948 428 124 2500
Town 481 624 265 1370 178 74.79 28.48 42 17.65 28.57 18 7.56 26.09 238 100.00 28.30 129 70.88 25.54 28 15.38 25.45 25 13.74 33.33 182 100.00 26.38 136 75.98 27.15 30 16.76 27.03 13 7.26 23.64 179 100.00 26.84 142 73.96 29.16 32 16.67 25.60 18 9.38 29.03 192 100.00 28.49 126 80.77 24.85 20 12.82 20.62 10 6.41 24.39 156 100.00 24.19 95 74.22 30.74 17 13.28 26.56 16 12.50 47.06 128 100.00 31.45 91 79.13 26.38 14 12.17 21.54 10 8.70 29.41 115 100.00 25.90 146 81.11 30.23 27 15.00 26.47 7 3.89 14.89 180 100.00 28.48 1043 76.13 27.72 210 15.33 25.58 117 8.54 28.06 1370 100.00 27.40 1084 223 63 1370
Rural 382 549 199 1130 153 73.91 24.48 35 16.91 23.81 19 9.18 27.54 207 100.00 24.61 123 72.78 24.36 32 18.93 29.09 14 8.28 18.67 169 100.00 24.49 98 71.53 19.56 27 19.71 24.32 12 8.76 21.82 137 100.00 20.54 95 77.24 19.51 15 12.20 12.00 13 10.57 20.97 123 100.00 18.25 117 75.48 23.08 27 17.42 27.84 11 7.10 26.83 155 100.00 24.03 68 79.07 22.01 10 11.63 15.62 8 9.30 23.53 86 100.00 21.13 81 80.20 23.48 13 12.87 20.00 7 6.93 20.59 101 100.00 22.75 111 73.03 22.98 26 17.11 25.49 15 9.87 31.91 152 100.00 24.05 846 74.87 22.49 185 16.37 22.53 99 8.76 23.74 1130 100.00 22.60 888 187 55 1130
TOTAL 1684 2391 925 5000 625 74.32 100.00 147 17.48 100.00 69 8.20 100.00 841 100.00 100.00 505 73.19 100.00 110 15.94 100.00 75 10.87 100.00 690 100.00 100.00 501 75.11 100.00 111 16.64 100.00 55 8.25 100.00 667 100.00 100.00 487 72.26 100.00 125 18.55 100.00 62 9.20 100.00 674 100.00 100.00 507 78.60 100.00 97 15.04 100.00 41 6.36 100.00 645 100.00 100.00 309 75.92 100.00 64 15.72 100.00 34 8.35 100.00 407 100.00 100.00 345 77.70 100.00 65 14.64 100.00 34 7.66 100.00 444 100.00 100.00 483 76.42 100.00 102 16.14 100.00 47 7.44 100.00 632 100.00 100.00 3762 75.24 100.00 821 16.42 100.00 417 8.34 100.00 5000 100.00 100.00 3920 838 242 5000
Car Aston Martin 7 11 6 24 2 100.00 0.32 0 0.00 0.00 0 0.00 0.00 2 100.00 0.24 1 100.00 0.20 0 0.00 0.00 0 0.00 0.00 1 100.00 0.14 2 66.67 0.40 1 33.33 0.90 0 0.00 0.00 3 100.00 0.45 2 100.00 0.41 0 0.00 0.00 0 0.00 0.00 2 100.00 0.30 5 83.33 0.99 1 16.67 1.03 0 0.00 0.00 6 100.00 0.93 3 100.00 0.97 0 0.00 0.00 0 0.00 0.00 3 100.00 0.74 2 100.00 0.58 0 0.00 0.00 0 0.00 0.00 2 100.00 0.45 4 80.00 0.83 1 20.00 0.98 0 0.00 0.00 5 100.00 0.79 21 87.50 0.56 3 12.50 0.37 0 0.00 0.00 24 100.00 0.48 16 6 2 24
Audi 28 39 15 82 9 75.00 1.44 3 25.00 2.04 0 0.00 0.00 12 100.00 1.43 11 73.33 2.18 4 26.67 3.64 0 0.00 0.00 15 100.00 2.17 12 85.71 2.40 1 7.14 0.90 1 7.14 1.82 14 100.00 2.10 13 86.67 2.67 0 0.00 0.00 2 13.33 3.23 15 100.00 2.23 8 80.00 1.58 0 0.00 0.00 2 20.00 4.88 10 100.00 1.55 2 100.00 0.65 0 0.00 0.00 0 0.00 0.00 2 100.00 0.49 6 100.00 1.74 0 0.00 0.00 0 0.00 0.00 6 100.00 1.35 5 62.50 1.04 3 37.50 2.94 0 0.00 0.00 8 100.00 1.27 66 80.49 1.75 11 13.41 1.34 5 6.10 1.20 82 100.00 1.64 56 19 7 82
BMW 30 45 10 85 14 82.35 2.24 2 11.76 1.36 1 5.88 1.45 17 100.00 2.02 8 80.00 1.58 0 0.00 0.00 2 20.00 2.67 10 100.00 1.45 5 55.56 1.00 3 33.33 2.70 1 11.11 1.82 9 100.00 1.35 10 83.33 2.05 2 16.67 1.60 0 0.00 0.00 12 100.00 1.78 13 81.25 2.56 2 12.50 2.06 1 6.25 2.44 16 100.00 2.48 7 87.50 2.27 0 0.00 0.00 1 12.50 2.94 8 100.00 1.97 6 85.71 1.74 0 0.00 0.00 1 14.29 2.94 7 100.00 1.58 4 66.67 0.83 0 0.00 0.00 2 33.33 4.26 6 100.00 0.95 67 78.82 1.78 9 10.59 1.10 9 10.59 2.16 85 100.00 1.70 71 12 2 85
Citroën 68 105 44 217 24 64.86 3.84 11 29.73 7.48 2 5.41 2.90 37 100.00 4.40 20 62.50 3.96 5 15.62 4.55 7 21.88 9.33 32 100.00 4.64 20 66.67 3.99 7 23.33 6.31 3 10.00 5.45 30 100.00 4.50 21 72.41 4.31 5 17.24 4.00 3 10.34 4.84 29 100.00 4.30 24 82.76 4.73 4 13.79 4.12 1 3.45 2.44 29 100.00 4.50 15 75.00 4.85 3 15.00 4.69 2 10.00 5.88 20 100.00 4.91 13 81.25 3.77 2 12.50 3.08 1 6.25 2.94 16 100.00 3.60 19 79.17 3.93 1 4.17 0.98 4 16.67 8.51 24 100.00 3.80 156 71.89 4.15 38 17.51 4.63 23 10.60 5.52 217 100.00 4.34 164 43 10 217
Ferrari 2 0 0 2 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 1 100.00 0.20 0 0.00 0.00 0 0.00 0.00 1 100.00 0.15 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 0.00 0.00 0 0.00 0.00 1 100.00 2.44 1 100.00 0.16 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 1 50.00 0.03 0 0.00 0.00 1 50.00 0.24 2 100.00 0.04 0 0 2 2
Fiat 57 81 32 170 23 88.46 3.68 1 3.85 0.68 2 7.69 2.90 26 100.00 3.09 11 55.00 2.18 8 40.00 7.27 1 5.00 1.33 20 100.00 2.90 13 72.22 2.59 4 22.22 3.60 1 5.56 1.82 18 100.00 2.70 14 60.87 2.87 5 21.74 4.00 4 17.39 6.45 23 100.00 3.41 21 87.50 4.14 3 12.50 3.09 0 0.00 0.00 24 100.00 3.72 12 70.59 3.88 1 5.88 1.56 4 23.53 11.76 17 100.00 4.18 13 81.25 3.77 2 12.50 3.08 1 6.25 2.94 16 100.00 3.60 16 61.54 3.31 5 19.23 4.90 5 19.23 10.64 26 100.00 4.11 123 72.35 3.27 29 17.06 3.53 18 10.59 4.32 170 100.00 3.40 132 33 5 170
Honda 71 82 27 180 20 80.00 3.20 3 12.00 2.04 2 8.00 2.90 25 100.00 2.97 15 83.33 2.97 3 16.67 2.73 0 0.00 0.00 18 100.00 2.61 27 77.14 5.39 3 8.57 2.70 5 14.29 9.09 35 100.00 5.25 13 100.00 2.67 0 0.00 0.00 0 0.00 0.00 13 100.00 1.93 16 69.57 3.16 5 21.74 5.15 2 8.70 4.88 23 100.00 3.57 12 63.16 3.88 6 31.58 9.38 1 5.26 2.94 19 100.00 4.67 14 82.35 4.06 2 11.76 3.08 1 5.88 2.94 17 100.00 3.83 24 80.00 4.97 5 16.67 4.90 1 3.33 2.13 30 100.00 4.75 141 78.33 3.75 27 15.00 3.29 12 6.67 2.88 180 100.00 3.60 134 35 11 180
Hyundai 93 114 51 258 29 80.56 4.64 7 19.44 4.76 0 0.00 0.00 36 100.00 4.28 32 72.73 6.34 5 11.36 4.55 7 15.91 9.33 44 100.00 6.38 27 75.00 5.39 5 13.89 4.50 4 11.11 7.27 36 100.00 5.40 20 64.52 4.11 9 29.03 7.20 2 6.45 3.23 31 100.00 4.60 23 85.19 4.54 3 11.11 3.09 1 3.70 2.44 27 100.00 4.19 20 76.92 6.47 5 19.23 7.81 1 3.85 2.94 26 100.00 6.39 25 86.21 7.25 3 10.34 4.62 1 3.45 2.94 29 100.00 6.53 25 86.21 5.18 3 10.34 2.94 1 3.45 2.13 29 100.00 4.59 201 77.91 5.34 40 15.50 4.87 17 6.59 4.08 258 100.00 5.16 202 44 12 258
Jaguar 36 34 14 84 14 82.35 2.24 2 11.76 1.36 1 5.88 1.45 17 100.00 2.02 7 70.00 1.39 1 10.00 0.91 2 20.00 2.67 10 100.00 1.45 6 66.67 1.20 3 33.33 2.70 0 0.00 0.00 9 100.00 1.35 8 66.67 1.64 3 25.00 2.40 1 8.33 1.61 12 100.00 1.78 9 81.82 1.78 2 18.18 2.06 0 0.00 0.00 11 100.00 1.71 7 77.78 2.27 1 11.11 1.56 1 11.11 2.94 9 100.00 2.21 6 66.67 1.74 2 22.22 3.08 1 11.11 2.94 9 100.00 2.03 5 71.43 1.04 2 28.57 1.96 0 0.00 0.00 7 100.00 1.11 62 73.81 1.65 16 19.05 1.95 6 7.14 1.44 84 100.00 1.68 68 12 4 84
Kia 79 133 43 255 26 57.78 4.16 16 35.56 10.88 3 6.67 4.35 45 100.00 5.35 32 80.00 6.34 5 12.50 4.55 3 7.50 4.00 40 100.00 5.80 26 66.67 5.19 10 25.64 9.01 3 7.69 5.45 39 100.00 5.85 25 78.12 5.13 3 9.38 2.40 4 12.50 6.45 32 100.00 4.75 25 73.53 4.93 6 17.65 6.19 3 8.82 7.32 34 100.00 5.27 11 73.33 3.56 3 20.00 4.69 1 6.67 2.94 15 100.00 3.69 19 82.61 5.51 2 8.70 3.08 2 8.70 5.88 23 100.00 5.18 24 88.89 4.97 3 11.11 2.94 0 0.00 0.00 27 100.00 4.27 188 73.73 5.00 48 18.82 5.85 19 7.45 4.56 255 100.00 5.10 204 37 14 255
Lamborghini 4 5 1 10 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 2 66.67 0.40 0 0.00 0.00 1 33.33 1.33 3 100.00 0.43 2 66.67 0.40 1 33.33 0.90 0 0.00 0.00 3 100.00 0.45 2 100.00 0.41 0 0.00 0.00 0 0.00 0.00 2 100.00 0.30 1 50.00 0.20 1 50.00 1.03 0 0.00 0.00 2 100.00 0.31 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 7 70.00 0.19 2 20.00 0.24 1 10.00 0.24 10 100.00 0.20 8 2 0 10
Maserati 13 10 4 27 1 100.00 0.16 0 0.00 0.00 0 0.00 0.00 1 100.00 0.12 5 83.33 0.99 1 16.67 0.91 0 0.00 0.00 6 100.00 0.87 2 66.67 0.40 1 33.33 0.90 0 0.00 0.00 3 100.00 0.45 4 100.00 0.82 0 0.00 0.00 0 0.00 0.00 4 100.00 0.59 4 80.00 0.79 1 20.00 1.03 0 0.00 0.00 5 100.00 0.78 2 66.67 0.65 0 0.00 0.00 1 33.33 2.94 3 100.00 0.74 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 5 100.00 1.04 0 0.00 0.00 0 0.00 0.00 5 100.00 0.79 23 85.19 0.61 3 11.11 0.37 1 3.70 0.24 27 100.00 0.54 21 3 3 27
Mazda 118 149 57 324 40 75.47 6.40 9 16.98 6.12 4 7.55 5.80 53 100.00 6.30 41 85.42 8.12 6 12.50 5.45 1 2.08 1.33 48 100.00 6.96 33 76.74 6.59 7 16.28 6.31 3 6.98 5.45 43 100.00 6.45 26 70.27 5.34 7 18.92 5.60 4 10.81 6.45 37 100.00 5.49 30 66.67 5.92 9 20.00 9.28 6 13.33 14.63 45 100.00 6.98 21 70.00 6.80 6 20.00 9.38 3 10.00 8.82 30 100.00 7.37 21 77.78 6.09 5 18.52 7.69 1 3.70 2.94 27 100.00 6.08 33 80.49 6.83 5 12.20 4.90 3 7.32 6.38 41 100.00 6.49 245 75.62 6.51 54 16.67 6.58 25 7.72 6.00 324 100.00 6.48 270 45 9 324
Mercedes 33 43 12 88 7 63.64 1.12 4 36.36 2.72 0 0.00 0.00 11 100.00 1.31 14 93.33 2.77 0 0.00 0.00 1 6.67 1.33 15 100.00 2.17 8 72.73 1.60 3 27.27 2.70 0 0.00 0.00 11 100.00 1.65 9 75.00 1.85 3 25.00 2.40 0 0.00 0.00 12 100.00 1.78 16 100.00 3.16 0 0.00 0.00 0 0.00 0.00 16 100.00 2.48 2 66.67 0.65 1 33.33 1.56 0 0.00 0.00 3 100.00 0.74 5 71.43 1.45 1 14.29 1.54 1 14.29 2.94 7 100.00 1.58 9 69.23 1.86 3 23.08 2.94 1 7.69 2.13 13 100.00 2.06 70 79.55 1.86 15 17.05 1.83 3 3.41 0.72 88 100.00 1.76 68 13 7 88
Mini 120 138 71 329 35 72.92 5.60 8 16.67 5.44 5 10.42 7.25 48 100.00 5.71 32 78.05 6.34 9 21.95 8.18 0 0.00 0.00 41 100.00 5.94 37 88.10 7.39 3 7.14 2.70 2 4.76 3.64 42 100.00 6.30 30 76.92 6.16 5 12.82 4.00 4 10.26 6.45 39 100.00 5.79 31 68.89 6.11 12 26.67 12.37 2 4.44 4.88 45 100.00 6.98 14 73.68 4.53 3 15.79 4.69 2 10.53 5.88 19 100.00 4.67 29 82.86 8.41 5 14.29 7.69 1 2.86 2.94 35 100.00 7.88 50 83.33 10.35 5 8.33 4.90 5 8.33 10.64 60 100.00 9.49 258 78.42 6.86 50 15.20 6.09 21 6.38 5.04 329 100.00 6.58 267 43 19 329
Mitsubishi 109 165 57 331 42 70.00 6.72 11 18.33 7.48 7 11.67 10.14 60 100.00 7.13 32 72.73 6.34 6 13.64 5.45 6 13.64 8.00 44 100.00 6.38 28 71.79 5.59 10 25.64 9.01 1 2.56 1.82 39 100.00 5.85 32 74.42 6.57 5 11.63 4.00 6 13.95 9.68 43 100.00 6.38 32 82.05 6.31 3 7.69 3.09 4 10.26 9.76 39 100.00 6.05 28 84.85 9.06 2 6.06 3.12 3 9.09 8.82 33 100.00 8.11 28 75.68 8.12 6 16.22 9.23 3 8.11 8.82 37 100.00 8.33 27 75.00 5.59 6 16.67 5.88 3 8.33 6.38 36 100.00 5.70 249 75.23 6.62 49 14.80 5.97 33 9.97 7.91 331 100.00 6.62 256 56 19 331
Nissan 110 159 65 334 48 80.00 7.68 8 13.33 5.44 4 6.67 5.80 60 100.00 7.13 39 79.59 7.72 6 12.24 5.45 4 8.16 5.33 49 100.00 7.10 24 66.67 4.79 8 22.22 7.21 4 11.11 7.27 36 100.00 5.40 40 76.92 8.21 8 15.38 6.40 4 7.69 6.45 52 100.00 7.72 42 82.35 8.28 7 13.73 7.22 2 3.92 4.88 51 100.00 7.91 23 88.46 7.44 3 11.54 4.69 0 0.00 0.00 26 100.00 6.39 16 61.54 4.64 8 30.77 12.31 2 7.69 5.88 26 100.00 5.86 22 64.71 4.55 9 26.47 8.82 3 8.82 6.38 34 100.00 5.38 254 76.05 6.75 57 17.07 6.94 23 6.89 5.52 334 100.00 6.68 260 58 16 334
Peugeot 54 120 39 213 23 67.65 3.68 7 20.59 4.76 4 11.76 5.80 34 100.00 4.04 18 72.00 3.56 4 16.00 3.64 3 12.00 4.00 25 100.00 3.62 22 91.67 4.39 2 8.33 1.80 0 0.00 0.00 24 100.00 3.60 28 75.68 5.75 6 16.22 4.80 3 8.11 4.84 37 100.00 5.49 24 88.89 4.73 2 7.41 2.06 1 3.70 2.44 27 100.00 4.19 13 81.25 4.21 3 18.75 4.69 0 0.00 0.00 16 100.00 3.93 16 69.57 4.64 1 4.35 1.54 6 26.09 17.65 23 100.00 5.18 19 70.37 3.93 6 22.22 5.88 2 7.41 4.26 27 100.00 4.27 163 76.53 4.33 31 14.55 3.78 19 8.92 4.56 213 100.00 4.26 164 38 11 213
Porsche 19 45 10 74 11 91.67 1.76 1 8.33 0.68 0 0.00 0.00 12 100.00 1.43 7 53.85 1.39 4 30.77 3.64 2 15.38 2.67 13 100.00 1.88 3 42.86 0.60 2 28.57 1.80 2 28.57 3.64 7 100.00 1.05 5 71.43 1.03 2 28.57 1.60 0 0.00 0.00 7 100.00 1.04 9 81.82 1.78 2 18.18 2.06 0 0.00 0.00 11 100.00 1.71 4 57.14 1.29 1 14.29 1.56 2 28.57 5.88 7 100.00 1.72 7 100.00 2.03 0 0.00 0.00 0 0.00 0.00 7 100.00 1.58 9 90.00 1.86 1 10.00 0.98 0 0.00 0.00 10 100.00 1.58 55 74.32 1.46 13 17.57 1.58 6 8.11 1.44 74 100.00 1.48 55 16 3 74
Renault 88 127 53 268 37 75.51 5.92 4 8.16 2.72 8 16.33 11.59 49 100.00 5.83 27 77.14 5.35 3 8.57 2.73 5 14.29 6.67 35 100.00 5.07 19 79.17 3.79 2 8.33 1.80 3 12.50 5.45 24 100.00 3.60 34 80.95 6.98 3 7.14 2.40 5 11.90 8.06 42 100.00 6.23 24 80.00 4.73 3 10.00 3.09 3 10.00 7.32 30 100.00 4.65 17 68.00 5.50 4 16.00 6.25 4 16.00 11.76 25 100.00 6.14 14 53.85 4.06 6 23.08 9.23 6 23.08 17.65 26 100.00 5.86 31 83.78 6.42 2 5.41 1.96 4 10.81 8.51 37 100.00 5.85 203 75.75 5.40 27 10.07 3.29 38 14.18 9.11 268 100.00 5.36 210 43 15 268
Rolls Royce 13 9 8 30 5 83.33 0.80 1 16.67 0.68 0 0.00 0.00 6 100.00 0.71 2 66.67 0.40 0 0.00 0.00 1 33.33 1.33 3 100.00 0.43 4 80.00 0.80 0 0.00 0.00 1 20.00 1.82 5 100.00 0.75 2 66.67 0.41 1 33.33 0.80 0 0.00 0.00 3 100.00 0.45 5 83.33 0.99 1 16.67 1.03 0 0.00 0.00 6 100.00 0.93 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 0 N/A 0.00 3 100.00 0.87 0 0.00 0.00 0 0.00 0.00 3 100.00 0.68 4 100.00 0.83 0 0.00 0.00 0 0.00 0.00 4 100.00 0.63 25 83.33 0.66 3 10.00 0.37 2 6.67 0.48 30 100.00 0.60 25 4 1 30
Suzuki 56 76 34 166 24 80.00 3.84 4 13.33 2.72 2 6.67 2.90 30 100.00 3.57 18 69.23 3.56 3 11.54 2.73 5 19.23 6.67 26 100.00 3.77 14 63.64 2.79 4 18.18 3.60 4 18.18 7.27 22 100.00 3.30 8 50.00 1.64 7 43.75 5.60 1 6.25 1.61 16 100.00 2.37 12 70.59 2.37 4 23.53 4.12 1 5.88 2.44 17 100.00 2.64 10 76.92 3.24 2 15.38 3.12 1 7.69 2.94 13 100.00 3.19 10 71.43 2.90 3 21.43 4.62 1 7.14 2.94 14 100.00 3.15 22 78.57 4.55 5 17.86 4.90 1 3.57 2.13 28 100.00 4.43 118 71.08 3.14 32 19.28 3.90 16 9.64 3.84 166 100.00 3.32 133 23 10 166
Tesla 197 310 105 612 81 75.00 12.96 20 18.52 13.61 7 6.48 10.14 108 100.00 12.84 53 67.09 10.50 17 21.52 15.45 9 11.39 12.00 79 100.00 11.45 71 73.20 14.17 17 17.53 15.32 9 9.28 16.36 97 100.00 14.54 55 62.50 11.29 25 28.41 20.00 8 9.09 12.90 88 100.00 13.06 54 73.97 10.65 16 21.92 16.49 3 4.11 7.32 73 100.00 11.32 37 78.72 11.97 8 17.02 12.50 2 4.26 5.88 47 100.00 11.55 35 77.78 10.14 5 11.11 7.69 5 11.11 14.71 45 100.00 10.14 53 70.67 10.97 17 22.67 16.67 5 6.67 10.64 75 100.00 11.87 439 71.73 11.67 125 20.42 15.23 48 7.84 11.51 612 100.00 12.24 482 107 23 612
Toyota 160 228 95 483 66 71.74 10.56 16 17.39 10.88 10 10.87 14.49 92 100.00 10.94 40 70.18 7.92 10 17.54 9.09 7 12.28 9.33 57 100.00 8.26 55 85.94 10.98 6 9.38 5.41 3 4.69 5.45 64 100.00 9.60 52 67.53 10.68 17 22.08 13.60 8 10.39 12.90 77 100.00 11.42 44 81.48 8.68 4 7.41 4.12 6 11.11 14.63 54 100.00 8.37 30 69.77 9.71 9 20.93 14.06 4 9.30 11.76 43 100.00 10.57 33 82.50 9.57 7 17.50 10.77 0 0.00 0.00 40 100.00 9.01 41 73.21 8.49 11 19.64 10.78 4 7.14 8.51 56 100.00 8.86 361 74.74 9.60 80 16.56 9.74 42 8.70 10.07 483 100.00 9.66 384 78 21 483
Volkswagen 119 163 72 354 44 73.33 7.04 9 15.00 6.12 7 11.67 10.14 60 100.00 7.13 38 67.86 7.52 10 17.86 9.09 8 14.29 10.67 56 100.00 8.12 40 75.47 7.98 8 15.09 7.21 5 9.43 9.09 53 100.00 7.95 34 73.91 6.98 9 19.57 7.20 3 6.52 4.84 46 100.00 6.82 35 81.40 6.90 6 13.95 6.19 2 4.65 4.88 43 100.00 6.67 19 82.61 6.15 3 13.04 4.69 1 4.35 2.94 23 100.00 5.65 24 82.76 6.96 5 17.24 7.69 0 0.00 0.00 29 100.00 6.53 32 72.73 6.63 9 20.45 8.82 3 6.82 6.38 44 100.00 6.96 266 75.14 7.07 59 16.67 7.19 29 8.19 6.95 354 100.00 7.08 270 68 16 354
"

Cross Tab (Repeated Levels) (CrossTabDesign)

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Sleep Group
Under 7 hours 7 to <9 hours 9+ hours TOTAL
Freq Row % Col % Freq Row % Col % Freq Row % Col % Freq Row % Col %
Country Denmark Home Location Type City 97 30.50 41.10 171 53.77 45.60 50 15.72 40.00 318 100.00 43.21
Town 72 36.18 30.51 87 43.72 23.20 40 20.10 32.00 199 100.00 27.04
Rural 67 30.59 28.39 117 53.42 31.20 35 15.98 28.00 219 100.00 29.76
TOTAL 236 32.07 100.00 375 50.95 100.00 125 16.98 100.00 736 100.00 100.00
NZ Home Location Type City 114 34.34 36.66 160 48.19 37.91 58 17.47 35.37 332 100.00 37.01
Town 80 32.79 25.72 114 46.72 27.01 50 20.49 30.49 244 100.00 27.20
Rural 117 36.45 37.62 148 46.11 35.07 56 17.45 34.15 321 100.00 35.79
TOTAL 311 34.67 100.00 422 47.05 100.00 164 18.28 100.00 897 100.00 100.00
South Korea Home Location Type City 236 32.82 61.78 336 46.73 62.80 147 20.45 65.92 719 100.00 63.07
Town 87 35.51 22.77 110 44.90 20.56 48 19.59 21.52 245 100.00 21.49
Rural 59 33.52 15.45 89 50.57 16.64 28 15.91 12.56 176 100.00 15.44
TOTAL 382 33.51 100.00 535 46.93 100.00 223 19.56 100.00 1140 100.00 100.00
USA Home Location Type City 374 33.07 49.54 551 48.72 52.03 206 18.21 49.88 1131 100.00 50.79
Town 242 35.48 32.05 313 45.89 29.56 127 18.62 30.75 682 100.00 30.62
Rural 139 33.57 18.41 195 47.10 18.41 80 19.32 19.37 414 100.00 18.59
TOTAL 755 33.90 100.00 1059 47.55 100.00 413 18.55 100.00 2227 100.00 100.00
TOTAL Home Location Type City 821 32.84 48.75 1218 48.72 50.94 461 18.44 49.84 2500 100.00 50.00
Town 481 35.11 28.56 624 45.55 26.10 265 19.34 28.65 1370 100.00 27.40
Rural 382 33.81 22.68 549 48.58 22.96 199 17.61 21.51 1130 100.00 22.60
TOTAL 1684 33.68 100.00 2391 47.82 100.00 925 18.50 100.00 5000 100.00 100.00
Age Group <20 Home Location Type City 67 16.92 46.85 195 49.24 45.45 134 33.84 49.81 396 100.00 47.09
Town 40 16.81 27.97 119 50.00 27.74 79 33.19 29.37 238 100.00 28.30
Rural 36 17.39 25.17 115 55.56 26.81 56 27.05 20.82 207 100.00 24.61
TOTAL 143 17.00 100.00 429 51.01 100.00 269 31.99 100.00 841 100.00 100.00
20 to <30 Home Location Type City 106 31.27 51.96 176 51.92 48.75 57 16.81 45.60 339 100.00 49.13
Town 51 28.02 25.00 93 51.10 25.76 38 20.88 30.40 182 100.00 26.38
Rural 47 27.81 23.04 92 54.44 25.48 30 17.75 24.00 169 100.00 24.49
TOTAL 204 29.57 100.00 361 52.32 100.00 125 18.12 100.00 690 100.00 100.00
30 to <40 Home Location Type City 111 31.62 50.23 170 48.43 54.31 70 19.94 52.63 351 100.00 52.62
Town 69 38.55 31.22 74 41.34 23.64 36 20.11 27.07 179 100.00 26.84
Rural 41 29.93 18.55 69 50.36 22.04 27 19.71 20.30 137 100.00 20.54
TOTAL 221 33.13 100.00 313 46.93 100.00 133 19.94 100.00 667 100.00 100.00
40 to <50 Home Location Type City 104 28.97 55.03 188 52.37 53.26 67 18.66 50.76 359 100.00 53.26
Town 51 26.56 26.98 97 50.52 27.48 44 22.92 33.33 192 100.00 28.49
Rural 34 27.64 17.99 68 55.28 19.26 21 17.07 15.91 123 100.00 18.25
TOTAL 189 28.04 100.00 353 52.37 100.00 132 19.58 100.00 674 100.00 100.00
50 to <60 Home Location Type City 119 35.63 48.57 165 49.40 55.93 50 14.97 47.62 334 100.00 51.78
Town 63 40.38 25.71 64 41.03 21.69 29 18.59 27.62 156 100.00 24.19
Rural 63 40.65 25.71 66 42.58 22.37 26 16.77 24.76 155 100.00 24.03
TOTAL 245 37.98 100.00 295 45.74 100.00 105 16.28 100.00 645 100.00 100.00
60 to <70 Home Location Type City 85 44.04 45.95 85 44.04 46.96 23 11.92 56.10 193 100.00 47.42
Town 62 48.44 33.51 56 43.75 30.94 10 7.81 24.39 128 100.00 31.45
Rural 38 44.19 20.54 40 46.51 22.10 8 9.30 19.51 86 100.00 21.13
TOTAL 185 45.45 100.00 181 44.47 100.00 41 10.07 100.00 407 100.00 100.00
70 to <80 Home Location Type City 97 42.54 47.09 101 44.30 54.59 30 13.16 56.60 228 100.00 51.35
Town 59 51.30 28.64 45 39.13 24.32 11 9.57 20.75 115 100.00 25.90
Rural 50 49.50 24.27 39 38.61 21.08 12 11.88 22.64 101 100.00 22.75
TOTAL 206 46.40 100.00 185 41.67 100.00 53 11.94 100.00 444 100.00 100.00
80+ Home Location Type City 132 44.00 45.36 138 46.00 50.36 30 10.00 44.78 300 100.00 47.47
Town 86 47.78 29.55 76 42.22 27.74 18 10.00 26.87 180 100.00 28.48
Rural 73 48.03 25.09 60 39.47 21.90 19 12.50 28.36 152 100.00 24.05
TOTAL 291 46.04 100.00 274 43.35 100.00 67 10.60 100.00 632 100.00 100.00
TOTAL Home Location Type City 821 32.84 48.75 1218 48.72 50.94 461 18.44 49.84 2500 100.00 50.00
Town 481 35.11 28.56 624 45.55 26.10 265 19.34 28.65 1370 100.00 27.40
Rural 382 33.81 22.68 549 48.58 22.96 199 17.61 21.51 1130 100.00 22.60
TOTAL 1684 33.68 100.00 2391 47.82 100.00 925 18.50 100.00 5000 100.00 100.00
"

Frequency Table (FrequencyTableDesign)

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Metric
Freq Col %
Country Denmark Handedness Right 543 73.777
Left 124 16.848
Ambidextrous 69 9.375
TOTAL 736 100.000
NZ Handedness Right 674 75.139
Left 148 16.499
Ambidextrous 75 8.361
TOTAL 897 100.000
South Korea Handedness Right 851 74.649
Left 187 16.404
Ambidextrous 102 8.947
TOTAL 1140 100.000
USA Handedness Right 1694 76.066
Left 362 16.255
Ambidextrous 171 7.678
TOTAL 2227 100.000
TOTAL Handedness Right 3762 75.240
Left 821 16.420
Ambidextrous 417 8.340
TOTAL 5000 100.000
Age Group <20 841 16.820
20 to <30 690 13.800
30 to <40 667 13.340
40 to <50 674 13.480
50 to <60 645 12.900
60 to <70 407 8.140
70 to <80 444 8.880
80+ 632 12.640
TOTAL 5000 100.000