Take a LOOK at THE NUMBERS

On paper things look okay for women in Aotearoa New Zealand with any number of laws protecting their rights. Here you'll find some of the issues women have been discussing, the mouthpieces they've used and perhaps you'll start to get a better idea of why the 2017 World Economic Forum only ranked us ninth in the world for gender equality. Be prepared to be surprised, or angry, or heartbroken.

Data is power. The power to tell stories. The power to understand the world. Access to data can tell you about your place in the world, how you measure up, what's available to you and what's happening to you. Use the Figure.NZ website and the data sentence cards provided in your kit to help you progress through these tasks.

Use the Figure.NZ data cards below to explore the statistics around women in the field of medicine.

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Task #1

Look at the Figure.NZ chart Surgeons (general) in New Zealand.

For each of the 16 regions shown, calculate the percentage of men and women who are surgeons.

Task #2

Using the data shown in the Figure.NZ chart Domestic students specialising in medical studies in New Zealand, calculate the total percentages of men and women enrolled as students in each age range.

Create two true statements and one false statement based on this data. Share with a partner and ask them to find the false statement.

A { 153 } B { 24 } C { 270 } D { 105 }

Women in Politics

“I always used to say I don’t expect anyone, ever, to vote for me because I’m a woman. But I don’t expect them not to vote for me because I’m a woman. That’s where we’ve got to get to, where people can evaluate women as leaders because of their leadership skills. ”

— Rt Hon Helen Clark 2017

Use the Figure.NZ data cards below to explore the statistics relating to women in politics.

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Task #1

Look at the Figure.NZ chart Women elected at New Zealand local elections.

Create two true statements and one false statement based on this data. Share with a partner and ask them to find the false statement.

Task #2

Create a set of data that lists the percentage of women candidates in New Zealand mayoral elections in each of the 67 councils.

Use this data set to calculate the mean, median, mode, and range of the percentages of women candidates.

A { 15% } B { 34% } C { 48 } D {40%}

Women in Business

“I overheard recently that there are more CEOs named John than there are women CEOs...I’m changing my name to John.”

— Overheard at the Working Mother of the Year Awards 2017

Use the Figure.NZ data cards below to explore the statistics around women in business.

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Task #1

In statistics, two pieces of data that can be used to interpret data are the mean (or average) and the median.

Compare the two Figure.NZ charts Average hourly self-employment earnings in New Zealand and Median hourly self-employment earnings in New Zealand.

Discuss how these two sets of data give a very different picture of the earnings of self-employed men and women in New Zealand.

Why might there be such a difference in the figures shown between the two data sets?

Task #2

Compare the two Figure.NZ charts Average weekly self-employment earnings in New Zealand and Average hourly self-employment earnings in New Zealand.

What does this tell you about the number of hours that elf-employed men and women might be working? Why might this be?

A { 8,800} B {7,100 } C { $48.43 } D { $40.28 }

Educational Leadership

“I am not the first woman to multi-task. I am not the first woman to work and have a baby — there are many women who have done this before.”

— Rt Hon Jacinda Ardern 2018

Use the Figure.NZ data cards below to explore the statistics around women in educational leadership.

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Task #1

Use the data shown in the Figure.NZ chart Principals in State and State integrated schools in New Zealand. Look at the trends in the data of the number of male principals compared to female principals over the time period shown. Predict what you think the data might show at the end of this year.

Task #2

Look at the Figure.NZ chart Teachers in State and State integrated schools in New Zealand. Create two true statements and one false statement based on this data. Share with a partner and ask them to find the false statement.

A { 36,519 } B { 12,202 } C { 1,222 } D { 1,138 } E { 7% }

Women's Health

“Once I was exposed to all the women’s literature I felt the pain of what women had suffered through the centuries, the pain of the collective feminine. And I couldn’t ignore that, or say that doesn’t matter or that isn’t part of me as well. ”

— Theresa Gattung 2017

Use the Figure.NZ data cards shown below to explore the statistics relating to women's health.

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Task #1

Study the Figure.NZ chart Maternal mortality in OECD countries. Create two true statements and one false statement based on this data. Share with a partner and ask them to find the false statement.

Task #2

Look at the Figure.NZ chart Neonatal and post-neonatal deaths in New Zealand. Discuss what has led to the general trend in this data. What do you expect the figures to look like this year?

Collate the number of neonatal deaths each year from 1950 to 2017 to create a set of data.

Calculate the mean, median and range of neonatal deaths in New Zealand using these figures.

A { 16.8 } B { 879 } C { 147 }

The value placed on unpaid work

“Some people were wild at me. They said things like, ‘Oh that woman. She’s taking the place of a man.’ I thought to myself, I suppose they’re partly right. But I’ve never stopped the men doing anything. I’d been waiting for years for the men to put the world to rights. And they hadn’t. Well - God gave me eyes to see, a head to think, a tongue to talk. Why not use them, why not share what I know? That’s what I kept thinking. That’s what kept me going. ”

— Dame Whina Cooper 1983

Use the Figure.NZ data cards shown below to explore the statistics around the value placed on unpaid work.

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Task #1

Look at the Figure.NZ chart Reasons for not wanting to seek work for people who are not in the New Zealand labour force. Create two true statements and one false statement based on this data. Share with a partner and ask them to find the false statement.

Task #2

Using the data shown in the Figure.NZ chart Reasons for not wanting to seek work for people who are not in the New Zealand labour force, calculate the percentages of men and women who are not wanting to seek work due to ‘looking after children’ and ‘looking after others’.

A { 74,500 } B { 5,200 } C { 10,900 } D { 1,700 } E { $264,000 } F { $332,000 } G { 26% }

Women in Higher Education

“You measure women’s progress not by how women are doing at the top but how they are doing at the bottom. Yes, women on boards, and women as CEOs and so on, are important, but it is much more important to put effort into improving the position of the women who are doing the worst.”

— Sandra Coney 2017

Use the Figure.NZ data cards shown below to explore the statistics relating to women and higher education.

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Task #1

Look at the two Figure.NZ charts Fields of specialisation for female students in New Zealand and Fields of specialisation for male students in New Zealand.

Choose three areas of specialisation that interest you.

Collate the numbers of female and male students enrolled in each of these three areas of specialisation and display this data on a bar graph.

Task #2

Using the data displayed on the bar graph you have created, write a true statement for each area of specialisation to summarise the data shown.

A { 7,150 } B { 2,250 } C { 4,685} D { 2,625 } E { 83.2% } F { 78.3% }

The Earning potential of Women

“We need to make equal pay and equal opportunity for women and girls a reality so women’s rights are human rights once and for all.”

— Hillary Clinton 2013

Use the Figure.NZ data cards shown below to explore the statistics around women's earning potential.

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Task #1

Look at the Figure.NZ chart People employed in the New Zealand Defence Force by gender and service.

Create two true statements and one false statement based on this data.

Share with a partner and ask them to find the false statement.

Task #2

Compare the two Figure.NZ charts Average hourly earnings for female employees in New Zealand by industry and Average hourly earnings for male employees in New Zealand by industry.

Choose three industries that interest you.

Collate the average hourly earnings for females and males in each of these three areas of industry. Display this data on a bar graph.

A { 1,953 } B { 386 } C { 83% } D { $27.41 } E { $31.82 }