How does income differ between men and women across age groups?; AUSynth

Overview

How does income distribution differ between men and women across age groups in your area? This analysis compares income distribution between men and women across age groups. The data may reveal no meaningful difference, a gap favouring either sex, or a pattern that shifts across the lifespan. Any gap that widens or narrows with age may point to life-stage factors such as career breaks, industry choice, or seniority effects. The heatmap shows a scaled difference in each income × age cell. Values range from −1 (all female) through 0 (balanced) to +1 (all male). Purple cells mean predominantly male; magenta cells mean predominantly female.

Questions this might answer

How to read the colours

Strong purple (value near +1): cell is overwhelmingly male. Strong magenta (value near −1): cell is overwhelmingly female. White or very pale (value near 0): roughly equal male/female counts. A value of ±0.5 means roughly a 75/25 split.

Which gender dominates high-income brackets?

Look for: Consistent purple OR magenta in the high-income rows
Why this matters: Purple in high-income rows = men over-represented in high pay; magenta in high-income rows = women over-represented in high pay; mixed = no clear pattern

Does gender concentration change with age?

Look for: Colour intensity shifting as you read across age groups (left to right)
Why this matters: Intensifying colour = the gap widens with age; fading colour = the gap narrows; no change = the gap is stable across the lifespan

Is there a crossover age?

Look for: Colour shifting from magenta to purple (or vice versa) at a particular age group
Why this matters: The gender balance in income may reverse at certain life stages; for example, young women outearning young men, or the reverse

Your data

The numbers

The table shows exact counts with percentages in parentheses. The first column header indicates how to read the percentages; for example, P(X|Y) means "the proportion of X given Y". Where applicable, a Total row confirms percentages sum to 100%.

var4_group	Income P(INCP\|SEXP)	Female		Male
var2_collapsed		45 and over	Under 45	45 and over	Under 45
	Negative income	52 (0.7%)	132 (0.5%)	40 (0.5%)	149 (0.5%)
	Nil income	906 (12.5%)	3,967 (13.7%)	483 (6.3%)	3,083 (10.8%)
	$1-$149 ($1-$7,799)	197 (2.7%)	773 (2.7%)	127 (1.7%)	435 (1.5%)
	$150-$299 ($7,800-$15,599)	292 (4.0%)	1,297 (4.5%)	209 (2.7%)	966 (3.4%)
	$300-$399 ($15,600-$20,799)	405 (5.6%)	1,982 (6.9%)	326 (4.2%)	1,385 (4.9%)
	$400-$499 ($20,800-$25,999)	435 (6.0%)	1,964 (6.8%)	321 (4.2%)	1,483 (5.2%)
	$500-$649 ($26,000-$33,799)	489 (6.8%)	2,834 (9.8%)	395 (5.1%)	2,209 (7.7%)
	$650-$799 ($33,800-$41,599)	432 (6.0%)	2,623 (9.1%)	362 (4.7%)	2,299 (8.1%)
	$800-$999 ($41,600-$51,999)	507 (7.0%)	2,917 (10.1%)	467 (6.1%)	2,744 (9.6%)
	$1,000-$1,249 ($52,000-$64,999)	603 (8.3%)	3,048 (10.6%)	580 (7.5%)	3,227 (11.3%)
	$1,250-$1,499 ($65,000-$77,999)	451 (6.2%)	2,038 (7.1%)	494 (6.4%)	2,228 (7.8%)
	$1,500-$1,749 ($78,000-$90,999)	476 (6.6%)	1,603 (5.6%)	497 (6.5%)	1,869 (6.6%)
	$1,750-$1,999 ($91,000-$103,999)	339 (4.7%)	1,098 (3.8%)	448 (5.8%)	1,467 (5.1%)
	$2,000-$2,999 ($104,000-$155,999)	800 (11.0%)	1,758 (6.1%)	1,081 (14.1%)	2,940 (10.3%)
	$3,000-$3,499 ($156,000-$181,999)	245 (3.4%)	364 (1.3%)	438 (5.7%)	745 (2.6%)
	$3,500 or more ($182,000 or more)	613 (8.5%)	457 (1.6%)	1,418 (18.4%)	1,296 (4.5%)
	Total	7,242 (100.0%)	28,855 (100.0%)	7,686 (100.0%)	28,525 (100.0%)