This statistic depicts the estimated horse population in Ireland in 2016, by region. In 2016, there were approximately *** thousand horses in the Border region of Ireland. More information about equestrian sports in the UK can be found in the Dossier: Equestrian sports in the United Kingdom.

Provides an overview of the origin of horses in Alberta, factors affecting feral horse population dynamics and a summary of Alberta Environment and Protected Areas' minimum count survey. This information sheet is one of five current-knowledge documents summarizing the state of information related to feral horse populations in Alberta. The documents were created by the Office of the Chief Scientist at the request of the Feral Horse Advisory Committee. The Office of the Chief Scientist provides independent scientific advice to address complex environmental challenges and opportunities Alberta faces.

Uttar Pradesh had the highest horse and pony population across India, at about 76 thousand in 2019. The number of horses and ponies across the country declined significantly by nearly 46 percent between 2012 and 2019.

It is believed that population structure of mountain horse breeds is preserved from any genetic introgression, because of their geographical isolation and specific semi-wild life style of husbandry. Till date there are no molecular data for the Balkan horses. In this study we try to give information about some autochthonous mountain horse breeds from Bulgaria. A total of 121 horses from three different mountain massifs are presented: Stara Planina (the Balkan mountain), the Rhodopes and Rila-Pirin massif were genotyped according to mitochondrial D-loop region. The results showed huge diversity of all known haplogroups with exception of C, F and R. West Eurasian haplogroups B, D, M and L were with the highest frequencies. Haplogroups A, J, I, O’P and Q were also observed with the highest frequencies, but not equally distributed among the three populations. Analyses of the horse breeds reveal preserved genetic profile of the Balkan and the Rhodopes mountains populations. In contrast, a Rila-Pirin breed unexpectedly showed mixed profile – a massive genetic introgression with an Asiatic-type haplogroups. A similar mixed Euro-Asiatic haplotype profile possessed the Carpathian mountain pony, although both populations are separated geographically and historically. The genetic pool of three Bulgarian mountain horse populations is highly heterogenic and because of that these breeds should be preserved.

1. The adult sex ratio (ASR) is important within ecology due to its predicted effects on behaviour, demography, and evolution, but research examining the causes and consequences of ASR bias have lagged behind studies of sex ratios at earlier life stages. Although ungulate ASR is relatively well-studied, exceptions to the usual female-biased ASR challenge our understanding of the underlying drivers of biased ASR, and provide an opportunity to better understand its consequences.

2. Some feral ungulate populations, including multiple horse populations, exhibit unusually male-biased ASR. For example, research suggests that the feral horse (Equus ferus caballus) population on Sable Island, Nova Scotia, Canada, may exhibit a male-biased ASR. Such exceptions to the rule provide a valuable opportunity to reveal the contributions of environmental context and trait differences to ASR bias.

3. We aimed to test for bias in Sable Island horse ASR, identify the demographic drivers of bias, and explore its demographic and social consequences. To do this, we used life-history, movement, and group membership information for hundreds of horses followed through a long-term individual-based study between 2007 and 2018.

4. Sable Island horse ASR is male-biased, and this skew has increased over time, reaching 62% male in 2018. Our life table response experiment suggested that ASR skew was driven predominantly by male-biased adult survival. Further analyses pointed to sex-biased survival being driven by reduced female survival post-reproduction. Male-biased ASR was associated with reduced harem sizes, an increase in the number of social groups on the island, and reduced reproduction in young females.

5. Our results support the idea that male-biased ASR in feral ungulate populations may be caused by a combination of high population density and high reproductive output. We suggest that female-biased mortality may be caused by females continuing to reproduce at high density, and thus being more susceptible to resource shortages. Thus, our results highlight the strong context-dependence of ASR. Furthermore, our work indicates the potential for ASR to substantially alter a population's social organisation. Such changes in social structure could have knock-on consequences for demography by altering the formation/stability of social relationships, or competition for matings.

Feral burros (Equus asinus) and horses (E. ferus caballus) inhabiting public land in the western United States are intended to be managed at population levels established to promote a thriving, natural ecological balance. Like many large ungulate populations, management agencies employ aerial surveys to obtain estimates of horse and burro population sizes. Double-observer sightability (MDS) models perform well for estimating feral horse abundances, yet the effectiveness of these models for use in burro populations is less understood and may be different due to the smaller size, stoic behavior, and cryptic pelage of burros. These models help minimize detection bias, yet bias can be further reduced with models that account for unmodeled variation, or residual heterogeneity, in detection probability. In populations containing radio-marked individuals, residual heterogeneity can be estimated with MDS models by including an additional capture history corresponding to detections of mark ...

About this dataset

Context

The dataset tabulates the Horse Cave population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Horse Cave. The dataset can be utilized to understand the population distribution of Horse Cave by age. For example, using this dataset, we can identify the largest age group in Horse Cave.

Key observations

The largest age group in Horse Cave, KY was for the group of age 50-54 years with a population of 248 (10.29%), according to the 2021 American Community Survey. At the same time, the smallest age group in Horse Cave, KY was the 80-84 years with a population of 45 (1.87%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Horse Cave is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Horse Cave total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Horse Cave Population by Age. You can refer the same here

Indigenous Iranian horse breeds were evolutionarily affected by natural and artificial selection in distinct phylogeographic clades which shaped their genomes in several unique ways. The aims of this study were to evaluate genetic diversity and genome-wide selection signatures in four indigenous Iranian horse breeds. We evaluated 169 horses from Caspian (n = 21), Turkmen (n = 29), Kurdish (n = 67), and Persian Arabian (n = 52) populations, using genome-wide genotyping data. The contemporary effective population sizes were 59, 98, 102, and 113 for Turkmen, Caspian, Persian Arabian, and Kurdish, respectively. Analysis of population genetic structure classified the north breeds (Caspian and Turkmen) and west/southwest breeds (Persian Arabian and Kurdish) into two phylogeographic clades reflecting their geographic origin. Using a de-correlated composite of multiple selection signals statistics based on pairwise comparisons, we detected a different number of significant SNPs under putative s..., ,

Theta estimations and neutrality test statistics for consensus and private ROHs. All private ROHs detected in the groups non-breed, breed and Hanoverian as well as in the region of KITLG were analyzed for Tajima’s D, Fu&Li F’s, Fu&Li’s D, Fay’s H, Zeng’s E using the software ANGSD (http://popgen.dk/angsd). (XLSX 18 kb)

Comprehensive demographic dataset for Wild Horse, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Horse GenotypesGenotypes of Sable Island horses at 10 microsatellite loci. Samples are from two time periods: 1987/1988 and 2011. File includes sample name, time period, and genotypes for all analyzed samples.horsegenotypes.csv

As of June 2017, there were approximately 170 thousand horses in England. While Scotland has a higher population than Wales there were roughly ten thousand horses less in Scottish ownership.

Private horse ownership

In the UK, about 45 percent of all households owned pets in 2017/2018. However, horses and ponies just miss a spot in the top ten of favorite UK household animals as only 0.3 percent of UK households own one of these animals. Its estimated that roughly 200 thousand of all horses are owned pets. The top spot by household ownership and by number of owned animals in the UK goes to the dog.

The horse as an economic factor

Over 18 thousand enterprises raised horses and other equines in the UK in 2017. The overwhelming majority of these made less than 250 thousand British pounds in revenue. However, five companies had revenues over five million pounds. This is a higher revenue than was made in total with off course horse racing between April 2017 and March 2018 (4.3 million British pounds).

Horse welfare within/after racing is often questioned by the public. British Racing’s Horse Welfare Board’s “A life well-lived” strategy provides a blueprint for Thoroughbred welfare, advocating accurate lifetime traceability of horses as essential to achieve this. The Census aimed to establish a population density model for British Thoroughbreds, not actively engaged in racing. Equestrians who owned/kept a Thoroughbred were asked to complete the Census between May and December 2023. Frequency analysis identified patterns in passport compliance, knowledge and understanding of current systems, and profiled Thoroughbred demographics: age, use, and history. Records for 8,256 horses were analysed (margin of error: ± 1%, 99% CI); 98% of horses had a passport, but only 64% were in their current owner’s name despite 90% being aware that they should have changed the horse’s registration details. Horses were predominately owned (91%), were geldings (74%), and aged between 5–14 years (63%); Leisure riding, hacking, and unaffiliated competition were the most common activities participated in; no significant differences in registration compliance occurred between activities. The Census provides an accurate representation of British Thoroughbreds not actively involved in racing totalling 33,600 horses, with 80% traceable. The results offer an insight into owner/keeper decision-making with respect to horse registration and Thoroughbred usage after racing. A need to improve current equine traceability systems through digitalisation and simplification was voiced, alongside enhanced communication strategies to showcase why compliance is important. Ongoing accurate records are essential to support education, research, and strategy to safeguard Thoroughbred welfare across their racing and second careers.

According to the estimates published by the Food and Agriculture Organization for the United Nations (FAO), Romania, the United Kingdom (UK), and Germany had the highest number of horses among the countries of the old 28 country strong European Union.

Horses in human culture

Horses play a huge role in human cultures, with uses in leisure activities, sport and for working purposes. Equestrian sports, such as show jumping and dressage, focus on the level of control and balance between horse and rider, while working roles include mounted police units and search and rescue teams. Currently, there are over three hundred breeds of horse worldwide.

Equestrian sports on the British Isles

In 2019, around ****** companies worked on raising horses and other equines in Great Britain. Almost ***** horses were registered with the British Equestrian Federation, the UKs national body for equestrian sports. For more information about Equestrian sports in the UK visit our topic page.

In Ireland about ***** horses, that were aged six years or older, were in race horse training. On average the price of a race horse in the country came to over **** thousand euros.

In 2024, there were almost ** thousand horses in Jeju, South Korea. Jeju had the largest horse population among cities and provinces in the country. It was followed by Gyeonggi province and Jeonbuk province.

STRUCTURE remains the most applied tool aimed at recovering the true, but unknown, population structure from observed microsatellite data or other genetic markers. About 30% of STRUCTURE-based studies could not be reproduced (Gilbert et al., 2012). Here we use a large set of data from 2323 horses from 93 domestic breeds plus the Przewalski horse, typed at 15 microsatellite markers, to evaluate how program settings, in particular the so far insufficiently evaluated number of replicates, impact the estimation of the optimal number of population clusters Kopt that best describe the observed data. Domestic horses are suited as a test case as there is extensive knowledge of the history of many breeds, extensive phylogenetic analyses. Different methods based on different genetic assumptions and statistical procedures (DAPC, FLOCK, PCoA and STRUCTURE with different run scenarios) all revealed the general, broad-scale relationships among the breeds that largely reflect known breed histories but...

1excluding transported horses.21 December until 15 April, all birth related deaths excluded.3Bold letters indicate horse years with a dzud winter.

Since horse breeds constitute populations submitted to variable and multiple outcrossing events, we analyzed the genetic structure and gene flows considering horses raised in France. We used genealogical data, with a reference population of 547,620 horses born in France between 2002 and 2011, grouped according to 55 breed origins. On average, individuals had 6.3 equivalent generations known. Considering different population levels, fixation index decreased from an overall species FIT of 1.37%, to an average of −0.07% when considering the 55 origins, showing that most horse breeds constitute populations without genetic structure. We illustrate the complexity of gene flows existing among horse breeds, a few populations being closed to foreign influence, most, however, being submitted to various levels of introgression. In particular, Thoroughbred and Arab breeds are largely used as introgression sources, since those two populations explain together 26% of founder origins within the overall horse population. When compared with molecular data, breeds with a small level of coancestry also showed low genetic distance; the gene pool of the breeds was probably impacted by their reproducer exchanges.

This feature class represents the spatial extent and boundaries for Wild Horse and Burro Herd Areas in BLM Colorado. The Wild Free-Roaming Horses and Burros Act of 1971 designated BLM's Herd Areas. These areas were designated in 1971 as the result of wild horses and/or burros being found during initial flights of them that same year. As additional surveys were done and data gathered, it was determined that some of these animals were actually on private lands and/or were private animals. These areas were not carried forward as Herd Areas. Through land-use planning, BLM evaluates each Herd Area to determine if adequate food, water, cover and space are available to sustain healthy wild horse and burro populations. When a Herd Area meets these criteria, it is designated as a Herd Management Area (HMA). HMA boundaries are available in a separate dataset.

The available science often demonstrates the need for feral horse population control but not the degree of control required to achieve environmental conservation objectives. To better manage the influence of feral horses, we must first understand the relationship between feral horse density and environmental impact. We recorded vegetation and soil disturbance, and the sign of potential causes of this impact in two parts of the Australian Alps, the Bogong High Plains (BHP) and the Eastern Victorian Alps (EVA). We calculated density-impact functions to assist managers with determining feral horse density targets for control programmes. Minimal sign of feral horse impact was detected on the BHP, with no impact of feral horses observed along 99% of the length of transects. In contrast, impacts assigned to feral horses were significantly higher in the EVA, where a larger, higher-density population of feral horses existed. However, greater than 83% of the walked transect length was still undi...