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Fully Drawn Research · Field IntelligenceWorking Paper 97 · Herd & Harvest
Iowa 99 counties · Ohio 88 counties · 2006 to 2025 · Button bucks per 100 does

Button Bucks for Each 100 Does: A Rough Harvest Clue to Fawn Production

FDR Research Desk · · State wildlife-agency public records & FDR analysis

For each 100 does reported in Iowa, the button-buck harvest is roughly a fifth below its level before 2017. The ratio averaged 16.4 during 2022 to 2024, compared with 20.7 during 2007 to 2016. This hunter-reported measure roughly resembles the fawn proportion agencies calculate after determining the ages of antlerless deer. Use it to follow changes within a state; it does not count fawns. Ohio's records begin with 2019. During the seasons available for both states, each ratio stays within a range of two points.

Key findings
  • The Iowa statewide average was 20.7 button bucks for each 100 does during 2007 to 2016, versus 16.4 during 2022 to 2024. That decline totals 4.3 points. Starting with 2018, the highest seasonal value was 17.3, below even the earlier decade's minimum of 19.8.
  • The decline reaches most counties: 90 among Iowa's 99 counties have smaller ratios for 2022 to 2024 than for 2007 to 2016. The county-level median decrease is 4.4 points.
  • Accounting for each county's reported doe harvest relative to its antlered-buck harvest increases the decline from 4.4 to 4.8 points. That aspect of the harvest mix therefore cannot explain the decrease.
  • With 215 button bucks in a county's pooled harvest, the Iowa median, random variation amounts to 1.3 points at one standard error. Comparing two pools that size requires a difference of roughly 3.6 points before the change stands out.

IReading the ratio

What harvested deer reveal about fawn production

Iowa hunters report each tagged deer under a category: doe, button buck, antlered buck or shed-antler buck. A button buck is a male fawn. Reporting categories leave doe ages undivided: female fawns go into the doe column alongside adult females. To calculate the ratio, divide the button-buck count by the doe count, then multiply the result by 100. The result describes reported harvest rather than the number of fawns living in the herd. More male fawns being born and reaching fall can raise it. Changes in the fawn crop's sex balance, hunters' shooting decisions or their reporting classifications can move it as well. For Iowa's 2024 county records, the combined counts are 8,130 button bucks and 48,905 does, yielding 16.6. The statewide totals are 8,141 and 48,943, respectively, and likewise yield 16.6.

Agencies calculate a similar measure using more informative records. The Pennsylvania Game Commission examined the juvenile share of harvested antlerless deer. Researchers determined ages through tooth wear and concluded that the share may indicate productivity and effects from predators. Among management units with stable populations, the proportion ranged between 0.34 and 0.46. No individual ratio value therefore establishes herd health; the pattern over time within a management unit is the key. The researchers cautioned that hunter decisions, such as increasingly sparing young deer, can alter the harvest signal. Our ratio is a rougher indicator because the county tables contain no age information and leave deer classification to hunters.

IIIowa records

The lower level following 2016

Reported harvest records for Iowa begin with 2006. According to the state, estimates from the preceding mail surveys cannot be compared with those reports. We explain that break in our paper on the two series. During 2007 to 2016, values ranged between 19.8 and 22.4. The ratio dropped to 18.1 for 2017, then to 17.3 for 2018. It reached 16.8 for 2020 and 15.8 for 2022. The statewide figures published by Iowa DNR for 2025 yield 15.7. For the initial reporting season of 2006, the value was 17.9. Whether the new reporting system affected that result remains unknown.

Figure 1 · Iowa button bucks per 100 does, statewide
Steady near 20, then a step down after 2016
5101520200620122019202522.4
Hunter-reported button bucks divided by hunter-reported does, times 100, from the sum of Iowa's 99 county rows, 2006 to 2024. Season 2006 is the first Iowa reports on its reported basis. The 2025 point is Iowa DNR's statewide table (the county tables for 2025 were not parsed). The axis starts at zero.

Harvest counts also show the shift. Across the summed county records, the reported button-buck harvest shrank 52 percent between 2007 and 2024, going from 16,846 down to 8,130. Doe harvest decreased 35 percent, while the antlered-buck decline was 17 percent. The report Iowa DNR issued for 2025 to 2026 describes a statewide herd that shrank during 2006 to 2013, remained stable during 2013 to 2017, grew slightly through 2023, and has since held steady or declined. A declining ratio alongside a stable or growing herd is consistent with a reduced fawn crop relative to the number of does. Hunters choosing to spare button bucks would also fit those figures. The records cannot distinguish these explanations.

IIIOhio records

Applying the measure to fewer seasons

The county records available for Ohio span 2019 to 2025. Its values ranged between 18.7 and 20.7. Pooling 2019 to 2021 yields 20.0; pooling 2023 to 2025 yields 18.9. Among Ohio's counties, 73 out of 88 have lower values in the later period, with a median decline of 1.3 points. During those years, Iowa moved from a ratio of 17.2 for 2019 to 16.6 for 2024, then 15.7 for 2025.

Figure 2 · Iowa and Ohio over the years both tables cover
Over 2019 to 2025 neither state moves much
IowaOhio
51015202019202120232025
Orange: Iowa. Gold: Ohio. Iowa's 2025 point is from its statewide table. The two states define their columns differently (Ohio counts bucks with antlers under three inches as bucks, Iowa counts non-forked bucks as antlerless), so read each line against itself and do not compare the gap between them.

Describing Iowa as declining while Ohio stays steady is tempting, but the shared years do not support that comparison. Iowa's shift predates the Ohio records, leaving Ohio's pattern during 2007 to 2016 unknown. Column definitions also differ between states. Their 2.1-point difference for 2024 combines the effects of those definitions with any actual differences in deer; these records cannot tell those effects apart. Compare a state's line with its own history. Neither state's reported ratio collapsed during their shared reporting seasons. That observation provides no direct answer about herd abundance or fawn survival.

IVSources of movement

Doe harvest, shooting decisions and random variation

Doe harvest warrants checking first. Each reported doe increases the denominator, and states have distinctive balances of harvested does and bucks, as shown in our buck-to-doe paper. Iowa's reported harvest amounted to 144 does for each 100 antlered bucks in 2007, followed by 102 in 2016 and 114 in 2024. Within counties, an additional ten does for each 100 antlered bucks is associated with 0.33 fewer button bucks for each 100 does. The relationship runs in the expected direction, but its size is small. The period saw fewer does relative to antlered bucks, which should have increased the ratio. Accounting for that shift expands the decline from 4.4 to 4.8 points. This calculation adjusts only for harvest composition. Hunting pressure, hunter effort and decisions to pass deer remain unmeasured. It eliminates that explanation while leaving the others unresolved.

Harvest tables cannot test the choices hunters make. Iowa leaves deer classification to hunters and includes bucks without forked antlers in the antlerless category. A shift in shooting or reporting decisions would therefore alter the ratio even with fawn numbers unchanged. We examined an indirect connection. Surviving male fawns become yearling bucks the following fall. With unchanged survival, a larger ratio should be followed by a larger antlered-buck harvest in the next season. We fitted four regressions relating the following season's antlered harvest to the current ratio, using logarithms for both and accounting for county and season effects. The tests looked one or two seasons forward, with each horizon tested both with controls for antlered bucks and does and without them. Three produced no clear relationship. One test, looking a season forward with controls, found a small positive relationship. Its coefficient of 0.05 associates a ratio higher by 10 percent with approximately 0.5 percent more antlered harvest the following season. Support from one of four tests does not establish the connection, which remains unproven.

Random variation also falls short of explaining the differences among counties. County-to-county variation is 4.2 times the amount expected from chance alone. Some actual difference exists, whether in permits, hunter behavior or fawn survival. Even the extreme county values shown below have random uncertainty ranging from 0.5 to 1.4 points apiece.

Figure 3 · Iowa counties, button bucks per 100 does, 2022 to 2024 pooled
The ten highest and the ten lowest counties
01Muscatine21.2
02Buchanan20.8
03Clinton20.8
04Louisa19.8
05Chickasaw19.4
06Davis19.2
07Bremer19
08Iowa19
09Black Hawk18.9
10Jackson18.9
11Winneshiek14.6
12Scott14.3
13Clayton14.3
14Monroe13.8
15Wayne13.5
16Madison13.3
17Allamakee12.9
18Hardin12.8
19Taylor12.4
20Decatur12.1
Counties with at least 1,000 does over the three seasons (54 of 99). Orange bars: the ten highest. Grey bars: the ten lowest, listed from the highest of them down. Chance alone leaves each ratio about 0.5 to 1.4 points of wobble.

VLocal calculation

Find the ratio and estimate its uncertainty

Combine your county's button-buck counts across three seasons, and do the same for does. Divide the first total by the second and multiply the result by 100. Next, estimate random uncertainty at one standard error. Multiply the ratio by the square root of the following sum: 1 divided by the button-buck total, plus 1 divided by the doe total. Smaller pooled counts produce greater uncertainty. Comparing a change involves two pools, both with their own random variation. The final table column shows the difference needed to stand out when two pools have equal sizes.

Button bucks in your poolDoes at a ratio near 20Chance wobble of one pool (plus or minus points)Change between two such pools that stands out (points)
301504.011.3
1005002.26.2
3001,5001.33.6
1,0005,0000.72.0
2151,2461.33.6

Chance wobble is one standard error of the ratio: the ratio times the square root of (1 divided by button bucks plus 1 divided by does). A change compares two pools, each with its own wobble. For two pools of the same size the two wobbles combine to the square root of 2 (about 1.4) times one pool's wobble, and a change of twice that combined wobble, about 2.8 times one pool's wobble, stands out from chance. The last column applies that. Rows assume both pools are the same size. The last row is Iowa's median county over 2022 to 2024 (215 button bucks, 1,246 does).

Our approach would use pooled seasons to calculate your ratio and compare two periods within your state's records. We would treat a change as real only if it exceeds the final column's threshold, roughly 2.8 times the uncertainty of one period. A change below that threshold is not newsworthy. When a difference clears it, consult the agency's recruitment measure before debating doe permits. Ohio's summary identifies fawns per doe as a recruitment measure calculated from deer whose ages were determined. Where states publish an age-based measure, that figure is preferable.

VIData checks and caveats

How the harvest records compare

Our counts come from county-level tables published by Iowa DNR for 2006 to 2024 and Ohio DNR for 2019 to 2025. For Ohio, adding bucks, does and button bucks reproduces the total for every one of the seven seasons. Its 2025 category counts also agree exactly with the annual summary published by Ohio DNR: 99,008 bucks, 111,958 does and 21,261 button bucks. For Iowa, county sums reproduce the statewide total for 16 out of 19 seasons. The remaining seasons have shortfalls of 9, 372 and 66 deer across those three totals. For 2023 and 2024, our ratios differ from Iowa DNR's statewide calculations by no more than 0.03.

These limits matter. Random uncertainty assumes the counts behave as random tallies; it cannot account for changes in shooting decisions or reporting. We did not find an independent count of fawns in either state for comparison. Only two states are represented, and harvest figures tally reported kills rather than living deer. The Iowa value for 2025 uses the statewide figures rather than county-level records.

Notes & disclosures
  1. Source: Iowa DNR White-tailed Deer Program Report, 2025-2026 season.
  2. Source: Iowa DNR, report your harvest (deer categories).
  3. Source: Ohio Division of Wildlife, Ohio Deer Summary 2025-26.
  4. Source: Ohio Division of Wildlife, deer harvest summaries and weekly county reports.
  5. Source: Rosenberry et al. 2011, Wildlife Society Bulletin 35(4):461-468 (Pennsylvania Game Commission copy).
  6. Button bucks per 100 does is a ratio of hunter-classified harvest counts. It is a crude cousin of the fawn share agencies measure by aging deer, and it can move because hunters change what they shoot or report.
  7. Read each state against its own history. Iowa and Ohio define their columns differently, so their levels are not comparable.
  8. Iowa's series starts in 2006, the first season Iowa DNR reports on a basis comparable to later years. Estimates through 2005 come from mail surveys and are not comparable.
  9. The ratio has not been checked against an independent fawn count in these two states.
  10. Harvest is a count of deer reported, not a count of deer alive.

Fully Drawn Research is an independent data analysis desk, not affiliated with the Illinois Department of Natural Resources, the Illinois Department of Transportation, or any mapping or outfitting provider. Fully Drawn Research is an independent data and analysis desk. This paper reports FDR's analysis of public data. Harvest figures describe animals reported or estimated as harvested, not population size, and reflect hunter effort and regulations as well as animal numbers.