2022 年 8 月 30 日,发表于 数据探索
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Metabase 团队
‧ 2022 年 8 月 30 日,发表于 数据探索
‧ 5 分钟阅读
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FIRE(Financial Independence Retire Early,经济独立提前退休)运动近年来已成为一股日益增长的趋势。虽然有很多 FIRE 计算器可以帮助您计算需要多长时间才能提前退休,但我们很好奇地理位置如何影响这些计算。阅读我们下面的探索(或直接跳至 FIRE 计算器)。
我们能够收集互联网上的公开数据集,并将其导入 Metabase 以帮助我们找到答案。
各国退休年龄 — Y 轴显示这些国家/地区的普通公民达到 FIRE 所需的年数。气泡大小代表预测的净资产(美元)。
观察结果
- 根据最新的个人储蓄率统计,东亚国家(如日本和韩国)的人们能够最快实现 FIRE(日本 14 年,韩国 25 年)。两国都拥有最高的储蓄率。
- 尽管北美的平均收入位居世界前列,但他们实现 FIRE 的时间最长(加拿大 55 年,美国 65 年)。
- 虽然一些国家为公民提供更好的养老金计划(尤其是在北欧和澳大利亚),但我们未能发现退休年限与养老金计划质量之间存在任何关联(养老金指数值越高越好)。我们曾假设,在养老金计划更好的国家,人们的储蓄率会更低(想法是,因为他们可以依赖养老金,所以他们可以负担更高的支出率),但数据并不支持这一假设。
退休年限与养老金指数值。退休年限和养老金指数值之间没有关联。
计算您提前退休所需的时间

以上计算基于全国平均水平。要更快地实现 FIRE,您应该争取达到高于平均水平的水平。这个计算器可以帮助您估算 FIRE 所需的时间。
这是我们使用的 SQL
WITH savings_rate_income_by_country
AS (SELECT s.country
AS
country
,
s.savings_rate
AS savings_rate,
i.average_monthly_net_salary_after_tax_
AS
net_monthly_salary,
i.average_monthly_net_salary_after_tax_ * 12
AS
annual_income,
i.average_monthly_net_salary_after_tax_ * 12 * ( 1 -
s.savings_rate )
AS
annual_expense
FROM random_datasets.income_savings_rate_oecd_personal_savings_rate s
INNER JOIN
random_datasets.income_savings_rate_numbeo_monthly_salary
i
ON s.country = i.country_name),
years_elapsed
AS (SELECT country,
savings_rate,
annual_income,
annual_expense,
Generate_series(1, 100) AS year,
annual_income - annual_expense AS annual_contribution
FROM savings_rate_income_by_country),
compound_interest
AS (SELECT a.*,
b.annual_contribution * Power(( 1 + 0.05 ), a.year - b.year + 1)
-
b.annual_contribution AS compound_interest
FROM years_elapsed a
LEFT JOIN years_elapsed b
ON a.year >= b.year
AND a.country = b.country
ORDER BY a.year),
yoy_networth_table
AS (SELECT country,
savings_rate,
annual_income,
annual_expense,
year,
annual_contribution,
Sum(annual_contribution) AS total_contribution,
Sum(compound_interest) AS total_interest,
Sum(annual_contribution)
+ Sum(compound_interest) AS networth
FROM compound_interest
GROUP BY country,
savings_rate,
annual_income,
annual_expense,
year,
annual_contribution
ORDER BY year)
SELECT c.region AS "Region",
y.country AS "Country",
p.overall_pension_index_value AS "Pension Index Value",
y.savings_rate AS "Savings Rate",
y.annual_income AS "Annual Income",
y.annual_expense AS "Annual Expenses",
Min(y.year) AS "Years to Retire",
Min(y.networth) AS "Projected Net Worth"
FROM yoy_networth_table y
LEFT JOIN random_datasets.countries_with_regional_codes c
ON c.NAME = y.country
LEFT JOIN random_datasets.income_savings_rate_global_pension_index_2021 p
ON p.country = y.country
WHERE y.networth * 0.04 >= y.annual_expense
GROUP BY c.region,
y.country,
p.overall_pension_index_value,
y.savings_rate,
y.annual_income,
y.annual_expense
查看各国退休年龄的表格。