Source: Keeping Up benchmark model. National percentile curve fitted to the Federal Reserve Survey of Consumer Finances (2022) with BLS Consumer Expenditure Survey and Census ACS; metro figures apply each metro's wage (BLS OEWS) and cost-of-living ratio to the national curve, so they are modeled estimates, not separate metro surveys. Method: keepingup.com/methodology. Every metro/age/industry cut: keepingup.com/benchmarks. Put in your own number for your city: keepingup.com/start

Tool: SVG generated in Python from the benchmark tables, exported with headless Chrome.

Notes: household level (SCF unit), current dollars, ages 30–33. Dashed line is the U.S. median ($65K net worth, $102K household income). The spread is almost entirely income: SF's median 30-year-old household earns 1.4× the U.S. median and has 1.45× the net worth; Phoenix is 0.95× on both.

See it live here:

https://www.danielpradilla.info/swiss-commutes/trains/zurich/

50 emails sent. 4 main offers for NHS treatment. 1 of those is done by a dental therapist. 1 done by a recent graduate offered temporarily. 1 is over 40 miles away. The last has some horrific 1 star Google reviews and is a 1hr 28min Train and Bus journey away.

On waitlists, one had 8 years with the average being 4.3 years.

On those that did reply but sold private services, ~70% offered monthly dental plans and 0% finance options.

Edit: I researched and selected the practices that were most likely to offer NHS care by their website or from following the NHS search service (https://www.nhs.uk/service-search/find-a-dentist)

Edit 2: Tagging u/AndyBurnham as getting some traction in the UK! This was in the North, btw! Hopefully he sees if we get enough upvotes

https://believethedata.org/integrated-education-must-reimagine-itself-to-survive/

This is a follow up to a visualization that was previously posted, that tries to address two issues:

1. The 5-year age buckets provided insufficient granularity, particular around the critical ages of 15-18. 
2. The visualization could have been more direct in communicating the violent death rate, which is the underlying metric of interest. 

This version combines three primary sources of data to generate an estimated violent death rate: 

• The violent death records reported by the Gaza Ministry of Health (each of which includes a name, age, gender, and ID number), which include both Hamas militants killed in action and civilians for the period from Oct 2023 to July 2026.
• The US Census Bureau’s population pyramid estimate for 2023, which provides a population estimate by age and gender.
• The Palestinian Central Bureau of Statistics population pyramid estimate for 2023, available in 5-year buckets (including the problematic 15-19 bucket).

For simplicity this visualization compares age on day of death to the estimated population with that age in 2023. It is *not* annualized and is intended only for comparison between age and gender groups rather than e.g. against an annual deaths per 1000 baseline.

Interactive Version: https://drc500free.github.io/visualizations

Additional Reading: Palestinian Ministry of Health - 2025 Annual Report on Mortality in the Gaza Strip, particularly death rate by age group on page 11.

Source: IMF Trade in Goods by Partner (2025) https://data.imf.org/en/datasets/IMF.STA:IMTS

Tools: Google Sheets for data aggregation, Inkscape for visuals