Image 1 — The correlation between cost of living and fertility rate in very high HDI countries is very weak
Image 2 — The correlation between cost of living and fertility rate in very high HDI countries is very weak
Image 3 — The correlation between cost of living and fertility rate in very high HDI countries is very weak
Image 4 — The correlation between cost of living and fertility rate in very high HDI countries is very weak
Image 5 — The correlation between cost of living and fertility rate in very high HDI countries is very weak
Image 6 — The correlation between cost of living and fertility rate in very high HDI countries is very weak

The correlation between cost of living and fertility rate in very high HDI countries is very weak

For very high HDI countries, between the countries with the highest and lowest cost of living, median fertility rates were not significantly different despite up to a 2.75 times difference in cost of living, as shown below.

Median values for top and bottom 5/10/15 cost of living countries categorised "very high" HDI in 2024 (top = highest cost of living)

Cost of living Cost of Living Index Fertility rate HDI
Top 5 83.0 1.37 0.946
Top 10 76.3 1.46 0.957
Top 15 70.8 1.47 0.946
Bottom 5 30.0 1.50 0.832
Bottom 10 32.4 1.49 0.828
Bottom 15 35.0 1.49 0.837

Note that the average fertility rates of developed and high-income countries were 1.45-1.48 in 2023

Data set: https://docs.google.com/spreadsheets/d/1iGGaQw6hnIETIoYnbjSr-L9pzMy00kIsm4GDOtSXegM/edit?usp=sharing

Sources

Cost of living data (2024 Mid-Year): https://www.numbeo.com/cost-of-living/rankings_by_country.jsp?title=2024-mid

Fertility rate data (2024 list by the World Bank): https://en.wikipedia.org/wiki/List_of_countries_by_total_fertility_rate

HDI data (2023): https://worldpopulationreview.com/country-rankings/hdi-by-country

u/Few-Branch4320 — 1 day ago
▲ 20 r/AusPol

How has One Nation gotten so popular lately?

Polls on voting intention show One Nation has surged to 2nd. A small party gaining so much popularity in a span of a year is unheard of. Immigration peaked in 2023 and has largely declined since then, so I'm surprised they're gaining popularity now and not before 2025 when immigration was a major topic.

Sources:

https://en.wikipedia.org/wiki/Opinion_polling_for_the_next_Australian_federal_election#

https://www.pollbludger.net/fed2028/bludgertrack/

u/Few-Branch4320 — 16 days ago

Poor mental health: a major cause of rapidly declining fertility rates in developed countries?

2 charts were plotted with mental health indicators and fertility rates for the U.S. Starting from around 2016, U.S. fertility rates saw a rapid decline. Around the same time, indicators of poor mental health skyrocketed, indicating a potential correlation. The connection between mental health and fertility rates could be due to poor mental health leading to:

  • more fatigue, poor sleep, and stress leading to less time, energy, and desire for children
  • lower desire and ability to find, attract, and retain a partner
  • worse health in general

Note that the 26-34 age group was the most important since that was the range where most people started having children.

Interestingly, this trend and pattern wasn't unique to the U.S. The average developed country experienced a rapid decline in fertility rates starting from 2016, and mental health data from other countries also revealed a large decline in mental health starting from a similar year.

I'm not saying mental health was 100% the cause, but it was an interesting discovery that seemed to be worth sharing.

Sources

U.S. fertility rates: https://ourworldindata.org/explorers/population-and-demography?hideControls=true&indicator=Fertility+rate&Sex=Both+sexes&Age=Total&Projection+scenario=None&country=~USA

Mental health indicators: https://www.afterbabel.com/p/the-mental-illness-crisis-millenials

u/Few-Branch4320 — 2 months ago

The counter argument against smartphones lowering fertility rates in 2007/2008

There have been studies recently linking the smartphone release in 2007 to the sharp fertility rate decline after. The main study claimed that smartphones were responsible for "33–52% of the decline in the general fertility rate among women aged 15–44", which was a high percentage. I think the timing was purely coincidental, and the GFC was the primary driver. There were several strong counterarguments against the smartphone.

Countries without smartphones

Countries that had no to limited access to smartphones also experienced major fertility rate declines starting from 2008, e.g. Africa. If fertility rates still declined in countries without smartphones, smartphones weren't the main factor. Africa was potentially a poor example since it was an undeveloped country, but there was a small pause in the fertility rate downtrend during 2003-2008, and the downtrend continued after the GFC, which suggested that the GFC played a role. Keep in mind that the study used data from 2007–2011.

Delayed social media app releases

Smartphones were released in 2007, but it wasn't used much differently from a flip phone back then. Most of the social media apps were released on iOS after mid-2010, so people weren't using smartphones to doom scroll social media. The internet was also laggy and unreliable since it was dial up. Social media app release dates:

  • Facebook: July 10, 2008
  • Twitter: May 19, 2010
  • Instagram: October 6, 2010
  • Snapchat: July 13, 2011
  • Reddit: April 7, 2016

The study used data from the United States over 2007–2011. Fertility rates began declining in the US starting from 2007/2008. With most social media apps being released after mid-2010, the extra delay for them to gain popularity/use, and delay in widespread iPhone acquisition (discussed later), the fertility rate decline began too early for the iPhone to explain it.

Unresponsive US fertility rates during 2011-2016

The US fertility rate data showed that most of the fertility rate decline occurred over 2007-2010. Fertility rates then mostly flatlined over 2011-2016. This behaviour was contradictory. If smartphones played a large role in the decline (33–52% as they claim), fertility rates should have continued to decline over 2011-2016 as smartphones and social media apps gained more widespread usage. Smartphone sales exploded over 2011-2015, so fertility rates should have seen a major decline over this period. To me, it just seemed like the GFC caused a major hit to fertility rates during 2007-2010 then fertility rates stabilised after the economy stabilised.

It's also weird that the study chose to use 2007-2011 data where most of the fertility rate decline occurred and ignored data after 2011 when fertility rates flatlined. Perhaps there was no correlation after 2011 and they cherrypicked the years?

Limitations in study methodology

Another major factor was that more developed areas and richer people, which both have lower fertility rates in general, had far greater access to smartphones. More developed areas were more likely to use, need and buy phones. Richer people were more likely to buy and be able to afford the iPhone since it was a luxury item back then. Most people didn't have easy access to it until several versions later, which was evident from the worldwide sales. These were major limitations of the study, which mentioned that "the average control county has 28.2% of its population in urban areas, compared to 66.4% in the average treated county." Also, they didn't directly compare smartphone usage. They tried to indirectly compare it by comparing counties with <10% and >90% AT&T coverage, so the study could just be indirectly comparing low vs high development or poor vs rich areas. From the study:

>Much of our analysis rests on classifying counties as “control,” defined as <10% of the population residing in block groups with AT&T coverage and “treated,” defined as >90% of the population residing in block groups with AT&T coverage. Intermediate counties with 10–90% coverage are excluded from analyses that rely on binary classifications. Following this assignment, 1,399 counties are classified as control and 914 as treated, while 794 counties are excluded. Treated counties are systematically more urban than controls: the average control county has 28.2% of its population in urban areas, compared to 66.4% in the average treated county.

u/Few-Branch4320 — 2 months ago

Fertility rate by proportion of time spent on unpaid domestic and care work

@ConcertinaTerpsichor requested that I do my own research in this comment, so by their request, here's the data.

In this post, the OP mentioned

>Nobel Prize-winning economist Claudia Golden has found a very strong correlation between high fertility rates and the willingness of partnered men to … do housework. Grocery. Cooking. Laundry. Childcare. Pick up after themselves.

This is the source of that data. In particular, it refers to this graph.

https://preview.redd.it/u0k330xoly5h1.png?width=665&format=png&auto=webp&s=76cca40c3be43ba3da7a793a4318e41ef9863fa2

The 3 major flaws I found were:

  • it used data from 2009-2019, which was outdated
  • the year of the fertility rate data wasn't standardised, so year wasn't controled for. The more recent the year, the lower the fertility rate, so this was a major influencer of fertility rates.
  • they didn't sufficiently explain their choice of countries. Basically, they could have cherry picked the countries. Their only explanation was:

>I will discuss data for two groups of 12 countries in total that include nine in Europe, one in North America, and two in Asia. I have limited each group to six nations for convenience.³⁷ The first group contains Denmark, France, Germany, Sweden, U.K., and U.S. I will call them Group 1. These countries were chosen because they have had moderate TFR, although all rates are currently below replacement. Group 2 nations include Greece, Italy, Japan, Korea, Portugal, and Spain. These countries were chosen because they currently have very low fertility. Demographers have termed these countries as the lowest low.

I redid the graph to account for these flaws. My results were opposite to the original results. The larger the gender gap (female - male), the higher the fertility rate, and the more time males spent on unpaid domestic and care work, the lower the fertility rate.

https://preview.redd.it/ujz7csacqy5h1.png?width=751&format=png&auto=webp&s=f1ef0004d41f1de210d33bd88fbb7edb330906bb

https://preview.redd.it/s5fstn13ry5h1.png?width=752&format=png&auto=webp&s=45b938de6c708bf471d27bccb08079808ca3917b

https://preview.redd.it/h4j4aekdqy5h1.png?width=752&format=png&auto=webp&s=d7d0ef2acefaa48c9243475a873c08a8f88f93e1

Here are the graphs when using countries that had >=2020 data available. Note that the sample size was small with only 15 countries compared to 31 previously. One major difference was that there was a cluster in each graph where proportion of time spent on unpaid domestic and care work had no effect on fertility rates.

https://preview.redd.it/y1zdav07zy5h1.png?width=752&format=png&auto=webp&s=133bfb555965978b57f2f525846a6d9e17d415c2

https://preview.redd.it/sq7cw3b7zy5h1.png?width=752&format=png&auto=webp&s=1da405957b5eb9223aee6ba318a1cb1433a58dcd

https://preview.redd.it/kiw430m7zy5h1.png?width=752&format=png&auto=webp&s=6727233a76bc74474167dcbf2feeb494e0da782e

Someone in the comments mentioned that development needed to be factored for. The results were similar when filtered to countries with >=high HDI (sourced from Worldpopulationreview). See this spreadsheet for the data and graphs for >=high HDI countries. Most of the countries from the original data set were >= high HDI countries, as shown below, so the results were skewed towards >=high HDI countries. There may have been a stronger trend if more low development countries were included. However, data was unavailable.

Current HDI Tier 2023 Countries Percentage
Very High 15 48.4%
High 10 32.3%
Medium 6 19.4%

Sources and methodology discussion

All data was sourced from World Bank

Proportion of time spent on unpaid domestic and care work (% of 24 hour day): https://genderdata.worldbank.org/en/indicator/sg-tim-uwrk?gender=gender-gap

Fertility rate data was collected for every country with data available for both genders in the above link.

Fertility rate data: https://en.wikipedia.org/wiki/List_of_countries_by_total_fertility_rate (2024 list by the World Bank)

For the fertility rate data, I compared several sources and found World Bank to be the most in line with the official government fertility rate data published by each country, so World Bank was chosen. I used only 1 source rather than grabbing data from several sources to control for fertility rate data collection methodology. Basically, when I compared several fertility data sources, there were large differences in fertility rate for some countries, so it was necessary to standardise the data source. 2024 data was used since data was available for every country. 2025 was missing some countries.

This is the data used for the graphs. If you disagree with the methodology, you can replot the data yourself.

Country Data year Gender Gap (Female - Male) Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day) Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day) 2024 fertility rate
Australia 2021 5.938 17.119 11.181 1.48
Austria 2022 7.159 15.785 8.626 1.31
Brazil 2017 6.475 11.608 5.133 1.61
Canada 2023 4.833 16.458 11.625 1.25
China 2018 9.444 15.347 5.903 1.01
Colombia 2021 12.405 17.641 5.236 1.63
Costa Rica 2017 13.767 22.146 8.379 1.32
Cuba 2016 8.53 21 12.47 1.45
Dominican Republic 2021 8.587 14.491 5.904 2.22
Ecuador 2017 11.611 18.191 6.58 1.81
El Salvador 2017 13.184 20.213 7.029 1.77
Estonia 2021 5.209 15.542 10.333 1.18
Fiji 2016 9.963 15.158 5.195 2.27
Finland 2021 3.306 14.056 10.75 1.25
Georgia 2021 14.08 17.789 3.709 1.8
Germany 2022 5.166 15.708 10.542 1.36
Guatemala 2017 16.878 19.483 2.605 2.29
India 2019 17.5 20.347 2.847 1.96
Japan 2021 10.958 14.708 3.75 1.15
Kazakhstan 2018 12.708 18.958 6.25 2.98
Kenya 2021 15.084 18.695 3.611 3.17
South Korea 2019 9.028 12.847 3.819 0.75
Lao PDR 2017 3.541 13.604 10.063 2.4
Mexico 2019 15.392 24.214 8.822 1.89
Mongolia 2023 9.865 19.058 9.193 2.6
Paraguay 2016 10.255 14.525 4.27 2.42
Russia 2019 10.2 18 7.8 1.42
Switzerland 2020 5.842 17.313 11.471 1.29
Uganda 2018 7.083 14.583 7.5 4.17
United Kingdom 2022 3.753 16.005 12.252 1.55
United States 2022 5 15.083 10.083 1.63
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u/Few-Branch4320 — 2 months ago

Fertility rates will stay below 2.1 for at least 200 years

Fertility rates have been falling for centuries. It isn't something that can be quickly fixed and it requires massive changes to reverse. No political party will ever take the large risk, especially since there has been no proof of a solution yet i.e. a developed country returning to 2.1 fertility rate. Another major reason is immigration. There's little reason for governments to take the large risk when immigration already addresses the problem. Developed countries aren't going to act until the immigration tap runs dry, which is unlikely until 150+ years later.

Politics aside, I doubt people will ever reach consensus on a solution. Everyone has their own theory. The lack of consensus will just cause slow progress and insignificant changes. The only problems that are commonly cited are cost of living and housing. Realistically, governments will never solve these issues and there are large conflicts of interest as some people want house prices to rise. Regardless, solving these issues is unlikely to return fertility rates to 2.1 as fertility rates were already <2.1 before 2000 when cost of living and housing were cheap.

Fertility rates reversing will never occur due to unanimous agreement. It will occur when population decline starts having major impacts on the country, e.g. economy crashing, massively diminished populations, and high old-age dependency ratio, which will force people to change. This isn't going to occur until 100-150 years later (depending on levels of immigration). Once change occurs, it will still take 50+ years for fertility rates to rise significantly since it will take a long time for people to adapt to the changes. People aren't going to start having many babies immediately in most scenarios. Also 100-150 years later, I expect the fertility rate to be <1 by that point and people to have become accustomed to low fertility rates, so returning back to 2.1 will take much longer than now. Keep in mind that the UN projected fertility rates to be 1.59 in 2100 in the medium fertility scenario, and based on new data, that's obviously an overestimation. The low fertility scenario projected fertility rates to be 1.1 in 2100 and not change much this century.

u/Few-Branch4320 — 3 months ago