The average number of hospital beds available per 1,000 people in Ghana was forecast to continuously decrease between 2024 and 2029 by in total 0.01 beds (-1.54 percent). The number of available beds per 1,000 people is estimated to amount to 0.64 beds in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like Ivory Coast and Senegal.

The total consumer spending on healthcare in Ghana was forecast to continuously increase between 2024 and 2029 by in total 459.6 million U.S. dollars (+38.63 percent). After the seventh consecutive increasing year, the healthcare-related spending is estimated to reach 1.6 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case healthcare-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 06. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending on healthcare in countries like Ivory Coast and Nigeria.

This data originates from the Public Health Outcomes tool currently presents data for available indicators for upper tier local authority levels, collated by Public Health England (PHE).

The data currently published here are the baselines for the Public Health Outcomes Framework, together with more recent data where these are available. The baseline period is 2010 or equivalent, unless these data are unavailable or not deemed to be of sufficient quality. The first data were published in this tool as an official statistics release in November 2012. Future official statistics updates will be published as part of a quarterly update cycle in August, November, February and May.

The definition, rationale, source information, and methodology for each indicator can be found within the spreadsheet.

Data included in the spreadsheet:

0.1i - Healthy life expectancy at birth
0.1ii - Life Expectancy at birth
0.1ii - Life Expectancy at 65
0.2i - Slope index of inequality in life expectancy at birth based on national deprivation deciles within England
0.2ii - Number of upper tier local authorities for which the local slope index of inequality in life expectancy (as defined in 0.2iii) has decreased
0.2iii - Slope index of inequality in life expectancy at birth within English local authorities, based on local deprivation deciles within each area
0.2iv - Gap in life expectancy at birth between each local authority and England as a whole
0.2v - Slope index of inequality in healthy life expectancy at birth based on national deprivation deciles within England
1.01i - Children in poverty (all dependent children under 20)
1.01ii - Children in poverty (under 16s)
1.02i - School Readiness: The percentage of children achieving a good level of development at the end of reception
1.02i - School Readiness: The percentage of children with free school meal status achieving a good level of development at the end of reception
1.02ii - School Readiness: The percentage of Year 1 pupils achieving the expected level in the phonics screening check
1.02ii - School Readiness: The percentage of Year 1 pupils with free school meal status achieving the expected level in the phonics screening check
1.03 - Pupil absence
1.04 - First time entrants to the youth justice system
1.05 - 16-18 year olds not in education employment or training
1.06i - Adults with a learning disability who live in stable and appropriate accommodation
1.06ii - % of adults in contact with secondary mental health services who live in stable and appropriate accommodation
1.07 - People in prison who have a mental illness or a significant mental illness
1.08i - Gap in the employment rate between those with a long-term health condition and the overall employment rate
1.08ii - Gap in the employment rate between those with a learning disability and the overall employment rate
1.08iii - Gap in the employment rate for those in contact with secondary mental health services and the overall employment rate
1.09i - Sickness absence - The percentage of employees who had at least one day off in the previous week
1.09ii - Sickness absence - The percent of working days lost due to sickness absence
1.10 - Killed and seriously injured (KSI) casualties on England's roads
1.11 - Domestic Abuse
1.12i - Violent crime (including sexual violence) - hospital admissions for violence
1.12ii - Violent crime (including sexual violence) - violence offences per 1,000 population
1.12iii- Violent crime (including sexual violence) - Rate of sexual offences per 1,000 population
1.13i - Re-offending levels - percentage of offenders who re-offend
1.13ii - Re-offending levels - average number of re-offences per offender
1.14i - The rate of complaints about noise
1.14ii - The percentage of the population exposed to road, rail and air transport noise of 65dB(A) or more, during the daytime
1.14iii - The percentage of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-time
1.15i - Statutory homelessness - homelessness acceptances
1.15ii - Statutory homelessness - households in temporary accommodation
1.16 - Utilisation of outdoor space for exercise/health reasons
1.17 - Fuel Poverty
1.18i - Social Isolation: % of adult social care users who have as much social contact as they would like
1.18ii - Social Isolation: % of adult carers who have as much social contact as they would like
1.19i - Older people's perception of community safety - safe in local area during the day
1.19ii - Older people's perception of community safety - safe in local area after dark
1.19iii - Older people's perception of community safety - safe in own home at night
2.01 - Low birth weight of term babies
2.02i - Breastfeeding - Breastfeeding initiation
2.02ii - Breastfeeding - Breastfeeding prevalence at 6-8 weeks after birth
2.03 - Smoking status at time of delivery
2.04 - Under 18 conceptions
2.04 - Under 18 conceptions: conceptions in those aged under 16
2.06i - Excess weight in 4-5 and 10-11 year olds - 4-5 year olds
2.06ii - Excess weight in 4-5 and 10-11 year olds - 10-11 year olds
2.07i - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years)
2.07i - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-4 years)
2.07ii - Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24)
2.08 - Emotional well-being of looked after children
2.12 - Excess Weight in Adults
2.13i - Percentage of physically active and inactive adults - active adults
2.13ii - Percentage of active and inactive adults - inactive adults
2.14 - Smoking Prevalence
2.14 - Smoking prevalence - routine & manual
2.15i - Successful completion of drug treatment - opiate users
2.15ii - Successful completion of drug treatment - non-opiate users
2.17 - Recorded diabetes
2.18 - Alcohol related admissions to hospital
2.19 - Cancer diagnosed at early stage (Experimental Statistics)
2.20i - Cancer screening coverage - breast cancer
2.20ii - Cancer screening coverage - cervical cancer
2.21vii - Access to non-cancer screening programmes - diabetic retinopathy
2.22iii - Cumulative % of the eligible population aged 40-74 offered an NHS Health Check
2.22iv - Cumulative % of the eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check
2.22v - Cumulative % of the eligible population aged 40-74 who received an NHS Health check
2.23i - Self-reported well-being - people with a low satisfaction score
2.23ii - Self-reported well-being - people with a low worthwhile score
2.23iii - Self-reported well-being - people with a low happiness score
2.23iv - Self-reported well-being - people with a high anxiety score
2.24i - Injuries due to falls in people aged 65 and over (Persons)
2.24i - Injuries due to falls in people aged 65 and over (males/females)
2.24ii - Injuries due to falls in people aged 65 and over - aged 65-79
2.24iii - Injuries due to falls in people aged 65 and over - aged 80+
3.01 - Fraction of mortality attributable to particulate air pollution
3.02i - Chlamydia screening detection rate (15-24 year olds) - Old NCSP data
3.02ii - Chlamydia screening detection rate (15-24 year olds) - CTAD
3.03i - Population vaccination coverage - Hepatitis B (1 year old)
3.03i - Population vaccination coverage - Hepatitis B (2 years old)
3.03iii - Population vaccination coverage - Dtap / IPV / Hib (1 year old)
3.03iii - Population vaccination coverage - Dtap / IPV / Hib (2 years old)
3.03iv - Population vaccination coverage - MenC
3.03v - Population vaccination coverage - PCV
3.03vi - Population vaccination coverage - Hib / MenC booster (2 years old)
3.03vi - Population vaccination coverage - Hib / Men C booster (5 years)
3.03vii - Population vaccination coverage - PCV booster
3.03viii - Population vaccination coverage - MMR for one dose (2 years old)
3.03ix - Population vaccination coverage - MMR for one dose (5 years old)
3.03x - Population vaccination coverage - MMR for two doses (5 years old)
3.03xii - Population vaccination coverage - HPV
3.03xiii - Population vaccination coverage - PPV
3.03xiv - Population vaccination coverage - Flu (aged 65+)
3.03xv - Population vaccination coverage - Flu (at risk individuals)
3.04 - People presenting with HIV at a late stage of infection
3.05i - Treatment completion for TB
3.05ii - Incidence of TB
3.06 - NHS organisations with a board approved sustainable development management plan
4.01 - Infant mortality
4.02 - Tooth decay in children aged 5
4.03 - Mortality rate from causes considered preventable
4.04i - Under 75 mortality rate from all cardiovascular diseases
4.04ii - Under 75 mortality rate from cardiovascular diseases considered preventable
4.05i - Under 75 mortality rate from cancer
4.05ii - Under 75 mortality rate from cancer considered preventable
4.06i - Under 75 mortality rate from liver disease
4.06ii - Under 75 mortality rate from liver disease considered preventable
4.07i - Under 75 mortality rate from respiratory disease
4.07ii - Under 75 mortality rate from respiratory disease considered preventable
4.08 - Mortality from communicable diseases
4.09 - Excess under 75 mortality rate in adults with serious mental illness
4.10 - Suicide rate
4.11 - Emergency readmissions within 30 days of discharge from hospital
4.12i - Preventable sight loss - age related macular degeneration (AMD)
4.12ii - Preventable sight loss - glaucoma
4.12iii - Preventable sight loss - diabetic eye disease
4.12iv - Preventable sight loss - sight loss certifications
4.14i - Hip fractures in

This statistic shows a ranking of the estimated current healthcare spending per capita in 2020 in Africa, differentiated by country. The spending refers to the average current spending of both governments and consumers per inhabitant.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

As of 2024, the average cost of a data breach in the United States amounted to 9.36 million U.S. dollars, down from 9.48 million U.S. dollars in the previous year. The global average cost per data breach was 4.88 million U.S. dollars in 2024. Cost of a data breach in different countries worldwide Data breaches impose a big threat for organizations globally. The monetary damage caused by data breaches has increased in many markets in the past decade. In 2023, Canada followed the U.S. by data breach costs, with an average of 5.13 million U.S. dollars. Since 2019, the average monetary damage caused by loss of sensitive information in Canada has increased notably. In the United Kingdom, the average cost of a data breach in 2024 amounted to around 4.53 million U.S. dollars, while in Germany it stood at 5.31 million U.S. dollars. The cost of data breach by industry and segment Data breach costs vary depending on the industry and segment. For the fourth consecutive year, the global healthcare sector registered the highest costs of data breach, which in 2024 amounted to about nine million U.S. dollars. Financial institutions ranked second, with an average cost of six million U.S. dollars for a data breach. Detection and escalation was the costliest segment in data breaches worldwide, with 1.63 U.S. dollars on average. The cost for lost business ranked second, while response following a breach came across as the third-costliest segment.

The current healthcare spending per capita in Ghana was forecast to continuously increase between 2024 and 2029 by in total 20.5 U.S. dollars (+22.15 percent). After the fourth consecutive increasing year, the spending is estimated to reach 113.05 U.S. dollars and therefore a new peak in 2029. Depicted here is the average per capita spending, in a given country or region, with regards to healthcare. The spending refers to the average current spending of both governments and consumers per inhabitant.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the current healthcare spending per capita in countries like Ivory Coast and Nigeria.