Mourning doves outnumber every other game bird on the continent and, most falls, out-tally every duck species combined in the bag. This is every public number I could find on them — federal surveys back to 1966, California surveys back to 1948, some rebuilt from scanned typewriter pages — assembled into one dataset, one explorer, and one honest accounting of what we know and what nobody measures.
Explore it yourself. Every series in this article — national, management-unit, all 41 hunt states, and the 1948–2023 California ledger — is interactive in the companion explorer.
Open the Dove Data Explorer →The federal integrated population model’s 2024 estimate. No other North American game bird comes close.
By ~947,000 hunters over 2.85 million hunter-days. In most seasons doves out-tally all duck species combined.
About 4.3%. Doves rebuild it annually: pairs raise multiple broods, and most birds don’t live two years either way.
22.7M then, 14.6M now — driven more by fewer hunters (1.15M → 0.95M) and fewer birds per hunter (19.7 → 15.4) than by scarcity.
An 84% collapse from the peak. Dove hunters fell from 278,000 to 47,000 over the same span.
Doves heard per survey route fell from 25.8 to 9.1 before the survey was retired. The steepest drop of any big dove state.
1948–2023, much of it OCR’d from scanned typewriter reports and cross-checked against each report’s printed year-over-year changes.
Population science is deep. Daily, hunter-scale prediction — the thing I built for ducks — doesn’t exist for doves. Yet.
If you read the duck series here (Part 1: the white paper, Part 2: the production engine), you know how I work: gather every observable number first, establish honest baselines, then — and only then — try to predict something. This article is that first step for doves. There is no model here. There is a complete, sourced, replication-grade dataset, and a map of where a model could go.
The mourning dove is a paradox. It is the single most-harvested game bird in North America — in the 2023 season, hunters took an estimated 16.8 million doves against 14.8 million ducks of all species combined — and yet it gets a fraction of the scientific and press attention that waterfowl do. There is no dove equivalent of the duck stamp, no dove refuge system, no breathless annual coverage of the “dove flight forecast.”
Quietly, though, the U.S. Fish and Wildlife Service runs a full monitoring apparatus for this bird, and it produces an estimate that deserves more attention than it gets: roughly 337 million mourning doves were alive in the United States at the start of last September’s season. That number comes from an integrated population model that fuses band recoveries, harvest estimates, and wing-based age ratios — the same class of machinery used for the most heavily managed waterfowl stocks.
Absolute abundance at the start of September, by management unit, 2007–2024 · shaded band = ±1 SD · millions of doves
Against that population, the harvest is small. The 2024 take of 14.6 million birds is about 4.3% of the September population — one bird in twenty-three. Decades of banding studies underpin the federal harvest strategy’s conclusion that harvest at these rates is largely compensatory: doves are short-lived, fast-breeding birds (a pair can raise three to six broods a season in warm states), and annual mortality is high whether or not anyone is hunting. This is why dove limits have stayed liberal — 15 birds a day in most states — even in units where breeding indices declined for decades.
The more interesting story is not whether hunting hurts doves. It’s what the harvest series says about hunters.
HIP-based estimates of dove harvest (bars, millions) and active dove hunters (line, thousands) · United States
2024 season harvest by state, top 15 · label = doves per hunter that season
Before harvest surveys got rigorous, the federal government measured doves by ear. From 1966 to 2013, observers drove fixed 20-mile routes at dawn each spring, stopping every mile to count every dove they heard cooing. The Call-Count Survey is the longest consistent dove yardstick that exists, and its story is uncomfortable for the West.
Call-Count Survey annual index by management unit, with California highlighted · birds heard per route
Here is the part of this project I care most about, because nobody had put it in one place. California has surveyed its hunters about dove take since 1948 — a half-century before the national Harvest Information Program existed. The Game Take Hunter Survey started as a mail card stapled to license renewals, and its results were published in annual reports that today survive only as scanned typewriter pages.
I pulled all of them — every Game Take Hunter Survey report from 1950 through 2010, plus the modern online-survey reports — ran the scans through OCR, and rebuilt the statewide dove series year by year. Where a scan garbled a number, I recovered it from the next year’s report, which always reprinted the prior year for comparison; where reports disagreed, I kept the revised figure and noted both. Every value in the series carries its source report and a provenance note in the replication data.
CDFW Game Take Hunter Survey statewide estimates (line) with federal HIP estimates overlaid from 2002 (dashed) · millions of doves · gaps = years the survey didn’t run or didn’t ask about doves
California dove harvest: state survey (CDFW) vs. federal survey (HIP), years where both exist · millions
You cannot census 337 million doves. Every number in this article is the output of an estimation machine, and knowing how each machine works is the difference between reading these charts and misreading them. There are five machines.
Roughly a thousand randomized roadside routes, surveyed once each spring in the last week of May, observers counting doves heard at 20 stops. It measured a relative index, not abundance: 25 doves-heard doesn’t mean 25 doves, it means “more than 12, fewer than 40, on a consistent yardstick.” Its strength was consistency across 48 years; its weakness was that calling intensity varies with breeding phenology, weather, and observer hearing. It was retired after 2013 when the Breeding Bird Survey — more routes, more analysis rigor, hierarchical-model trend estimation — was shown to track it closely.
The BBS is the general-purpose North American bird survey: ~3,700 routes, 50 stops, all species counted by sight and sound. For doves it yields state-level trend estimates with credible intervals from a hierarchical model. The current numbers: Eastern unit +0.2%/yr, Central −0.3%/yr, Western −0.9%/yr long-term (1966–2024), with California at −0.8%/yr. Compounded over 58 years, California’s trend implies the breeding population is roughly 38% smaller than in 1966 — consistent with what the retired call counts said more bluntly.
Every migratory-bird hunter in every state must register annually (that’s the HIP certification on your license). From that registry the Service samples hunters for detailed diary surveys, and from the diaries estimates harvest, active hunters, and days afield, state by state. It is a two-stage estimate with real sampling error — state-level dove harvests carry confidence intervals of roughly ±10–30% — and it replaced a duck-stamp-based survey that had run since 1952. Doves entered the modern series in 2002, which is why my national charts start there.
The piece that turns indices into biology. Since 2003, states have banded doves preseason every summer — 788,000 bandings and 39,000 recoveries through 2024, with California contributing about 53,000 birds. Band recoveries give direct estimates of survival (typically ~40–55% adult, lower for juveniles) and harvest rate (mostly 1–9% depending on unit). If you shoot a banded dove and report it, this is the dataset you’re feeding.
Selected hunters mail in a wing from each dove they shoot; feather molt tells the ager whether it was hatched that year. The resulting age ratios (juveniles per adult — nationally between 1.2 and 1.9, higher in good breeding years) measure recruitment. The integrated population model then solves for the abundance that makes all the machines agree: if harvest estimates say X birds were shot, band recoveries say that was Y% of the population, and wings say Z% were juveniles, there’s only a narrow range of population sizes consistent with all three. That’s where 337 million comes from — a Lincoln-style estimate wrapped in a state-space model, not a count.
Wing-based age ratios by management unit, 2007–2024 (corrected for differential vulnerability) · from the Parts Collection Survey
Doves per hunter per season, by management unit · HIP estimates, hunter-weighted
Survey the dove literature and a pattern jumps out. The population scale is thoroughly studied: survival analysis from bandings, harvest strategies with formal decision frameworks, recruitment modeling from wings, even a national harvest strategy document that sets thresholds for tightening regulations. The hunter scale has a thinner but real literature: managed-field studies (sunflower and wheat plantings measurably concentrate doves), shooting-hours experiments from the 1960s–70s, wounding-loss and nontoxic-shot studies.
But nobody — as far as I can find, anywhere — has published a model that predicts how a dove hunter’s day will go.
For ducks, I showed that California’s public-refuge daily harvest data supports real out-of-sample prediction: a defensible academic model beats history-based guessing by 6.3% at day scale, an exploratory variant doubles that, and a production engine reaches 27% daily and 43% at season scale. The raw material for that work was CDFW’s daily per-refuge hunt results — a public ledger of hunters and birds, day by day, place by place.
The dove equivalent of that ledger mostly doesn’t exist — dove hunting happens on private fields and open BLM ground, not through refuge check stations. But it doesn’t entirely not-exist either. CDFW operates managed dove fields and publishes locations annually; some wildlife areas log dove take in their upland hunt results; and the state series above proves per-hunter seasonal efficiency is stable enough to anchor a model. The honest statement of the opportunity:
All raw reports, OCR output, parsing code, and tidy CSVs ship in the public replication package: gitlab.com/duckchugger/dove-data. Columns below: whether the source contributed data to the charts, its span, and where to get it yourself.
| Source | Used? | Span | What it provides |
|---|---|---|---|
| USFWS Mourning Dove Population Status reports | YES | 1999–2025 | The backbone: call-count indices, BBS trends, abundance estimates, banding tables, age ratios. I parsed 20 annual PDFs. |
| USFWS Migratory Bird Hunting Activity & Harvest reports | YES | 2002–2024 | HIP harvest, hunters, and days afield for all 41 dove-hunt states. 905 state-season rows extracted. |
| CDFW Game Take Hunter Survey reports | YES | 1948–2023 | The California ledger. 44 scanned reports OCR’d with Apple Vision; values cross-checked against each report’s printed year-over-year comparisons. |
| North American Breeding Bird Survey (USGS) | YES | 1966–2024 | Long-term and 10-year dove trend estimates by state and unit, as republished in the status reports. |
| USGS Bird Banding Laboratory | YES | 2003–2024 | Preseason dove bandings by state (via status-report tables). Recovery-level microdata available on request; not needed for this article. |
| FWS Parts Collection Survey (wing survey) | YES | 2007–2024 | Age ratios (recruitment) by state and unit, corrected for differential vulnerability. |
| Mourning Dove National Harvest Strategy (FWS, 2014) | CONTEXT | — | The decision framework that consumes these data; informs the sustainability discussion. No numbers charted from it. |
| eBird Status & Trends | NOT YET | 2007– | Weekly relative-abundance surfaces — the most promising covariate source for any future daily model. Out of scope for a trends article. |
| CDFW managed dove field lists | NOT YET | annual | Locations of planted public dove fields. The seed of a future outcome ledger; no harvest results published with them. |
Everything is rebuildable from scratch: raw PDFs → OCR/text extraction → parsers → tidy CSVs → this page. The pipeline is Python (pdfplumber, pypdfium2, Apple Vision OCR) plus D3 for rendering; no numbers were typed into this article by hand except where a provenance note says so. The dataset ships as seven tidy CSVs with full source annotations.