The benchmark interest rate in Ghana was last recorded at 25 percent. This dataset provides - Ghana Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

The World Bank Group is interested in gauging the views of clients and partners who are either involved in development in Ghana or who observe activities related to social and economic development. The following survey will give the World Bank Group's team that works in Ghana, greater insight into how the Bank's work is perceived. This is one tool the World Bank Group uses to assess the views of its stakeholders, and to develop more effective strategies that support development in Ghana. A local independent firm has been hired to oversee the logistics of this survey.

This survey was designed to achieve the following objectives: - Assist the World Bank Group in gaining a better understanding of how stakeholders in Ghana perceive the World Bank Group; - Obtain systematic feedback from stakeholders in Ghana regarding: · Their views regarding the general environment in Ghana; · Their overall attitudes toward the World Bank Group in Ghana; · Overall impressions of the World Bank Group's effectiveness and results, project/program related issues, knowledge work and activities, and communication and information sharing in Ghana; and · Perceptions of the World Bank Group's future role in Ghana. - Use data to help inform Ghana country team's strategy.

Geographic coverage

Northern, Eastern, Western, and Southern sectors.

Analysis unit

Stakeholders in Ghana

Kind of data

Sample survey data [ssd]

Sampling procedure

From March to April 2014, 1,000 stakeholders of the World Bank Group in Ghana were invited to provide their opinions on the WBG's assistance to the country by participating in a country survey. Participants in the survey were drawn from among the office of the President or Prime Minister; the office of a Minister; the office of a Parliamentarian; employees of a ministry, ministerial department, or implementation agency; consultants/contractors working on World Bank Group-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff; bilateral agencies; multilateral agencies; private sector organizations; private foundations; the financial sector/private banks; NGOs; community-based organizations (CBOs); the media; independent government institutions; trade unions; faith-based groups; academia/research institutes/think tanks; and the judiciary branch.

Mode of data collection

Face-to-face [f2f]

Research instrument

The Questionnaire consists of following sections:

A. General Issues Facing Ghana: Respondents were asked to indicate whether Ghana is headed in the right direction, what they thought were the most important development priorities, which areas would contribute most to reducing poverty, which areas would contribute most to generating economic growth, and what would achieve "shared prosperity".

B. Overall Attitudes toward the World Bank Group: Respondents were asked to rate their familiarity with the WBG, its effectiveness in Ghana, WBG staff preparedness, the effectiveness of its activities, to what extent it should provide capacity building support to certain groups, the importance and effectiveness of the WBG's current capacity building work, their agreement with various statements regarding the WBG's work, and the extent to which it is an effective development partner. Respondents were also asked to indicate the sectoral areas on which it would be most productive for the WBG to focus its resources, the WBG's greatest values and greatest weaknesses, its most effective instruments, with which stakeholder groups the WBG should collaborate more, if the WBG should have more or less of a local presence in Ghana, and to what they attributed slowed or failed reform efforts.

C. World Bank Group's Effectiveness and Results: Respondents were asked to rate the extent to which the WBG's work helps achieve development results in Ghana, the extent to which the WBG meets Ghana's needs for knowledge services and financial instruments, the extent to which the WBG measures and corrects its work in real time, and the importance of the WBG's involvement and the WBG's level of effectiveness across thirty-one development areas. Respondents were also asked to indicate if WBG decisions regarding its Ghana program were made primarily in country or at Headquarters.

D. The World Bank Group's Knowledge Work and Activities: Respondents were asked to indicate how frequently they consult WBG knowledge work and to rate the quality of the WBG's knowledge work and activities, including how significant of a contribution it makes to development results and its technical quality.

E. Working with the World Bank: Respondents were asked to rate the extent to which various aspects of the WBG's technical assistance/advisory work contribute to solving Ghana's development challenges and their agreement with a series of statements regarding working with the WBG. Respondents were asked to indicate if the WBG operates with too much risk.

F. The Future Role of the World Bank Group in Ghana: Respondents were asked to indicate what the WBG should do to make itself of greater value in Ghana and which of its services the WBG should offer more of in Ghana.

G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the WBG, their Internet access, and their usage and evaluation of the WBG's websites. Respondents were asked about their awareness of the WBG's Access to Information policy, past information requests from the WBG, and their level of agreement that they use more data from the World Bank Group as a result of the WBG's Open Data policy. Respondents were also asked to evaluate the WBG's information accessibility and responsiveness to information requests.

H. Background Information: Respondents were asked to indicate their current position, specialization, whether they currently collaborate with the WBG, with which WBG agencies they work, their exposure to the WBG in Ghana, and their geographic location. Respondents were also asked if their projects involved both the World Bank and the IFC, and if so, to indicate their view of the two institutions working together.

Response rate

A total of 830 stakeholders participated in the survey (83% response rate).

Ghana GH: Fertility Rate: Total: Births per Woman data was reported at 3.984 Ratio in 2016. This records a decrease from the previous number of 4.042 Ratio for 2015. Ghana GH: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 5.820 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.957 Ratio in 1969 and a record low of 3.984 Ratio in 2016. Ghana GH: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ghana – Table GH.World Bank.WDI: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

Abstract

There was a growing concern about the slow growth of Ghana's industrial sector, particularly with respect to the manufacturing sub-sector which has stagnated in comparison with countries like Cote d'Ivoire and Malaysia where manufacturing levels were lower than Ghana 30 years ago. The state of Ghana's industry has been recognized by the Government of Ghana and a number of initiatives have been taken over the years to help accelerate industrial growth. Despite laudable interventions, such as the New Industrial Reform, the Accelerated Growth Programme and the Ghana Poverty Reduction Strategy, manufacturing value added in Ghana grew at a low rate between 1990 and 2001. The small size of the Ghanaian market and the failure of manufacturers to break into export markets are frequently cited among the causes of the present predicament of the manufacturing sub-sector. The Mining sub sector has overcome some of these obstacles with increases in output over the years, which is mostly exported. Production of Electricity and Water on the other hand has not grown enough to support higher rates of growth of industry.

The Ghana Statistical Service in collaboration with Ministry of Trade and Industry and Presidential Special Initiative and supported by UNIDO conducted the 2003 National Industrial Census. The objectives of the census was to obtain benchmark data on the structure of industry, establish an industrial database and regularly update the register, obtain data on production and employment for government and business analysis and decision making. Other objectives was to measure the contribution of each industry and region to Ghana's employment and production. In addition to the above mentioned objectives, the obtained data should be internationally comparable on the structure and activity of each industrial sub sector.

There were two phases of the National Industrial Census with phase I listing all industrial establishment in the country that are primarily engaged in mining and quarrying, manufacturing, construction and the production of electricity and water. Household industries were excluded unless there is a clear indication of the industry by way of a sign board. The phase II covered all establishments primarily engaged in mining and quarrying, construction, the production of electricity and water, all manufacturing establishment engaging 10 or more persons and a representative sample of manufacturing establishements engaging less than 10 persons.

Geographic coverage

National

Analysis unit

Establishments

Universe

The Census included all establishments in the following sectors: mining and quarrying, electricity & water production and construction. With regard to the manufacturing sub sector, all establishments engaging 10 persons or more were included whereas a sample was taken from establishments engaging less than 10 persons.

Kind of data

Census/enumeration data [cen]

Sampling procedure

A one-stage sample design was used for the survey with the primary sampling units (PSU) being the individual establishment. The sampling frame of establishments had two levels of stratification in addition to implicit stratification from ordering the establishments within each stratum. The first level of stratification was by the 4-digit ISIC activities, which represented the smallest domains of analysis. Within each of these individual activities, the establishments were further stratified by the number of persons engaged, which is also correlated with industrial production, revenue, expenditures and other aggregates to be measured in the survey.

Sampling deviation

All of the establishments in the Construction, Electricity and Water, Mining and Quarrying sub-sectors were included in the survey regardless of size. Given that reliable estimates are required for each 4-digit ISIC group, activities with few establishments were also identified as certainty strata.

Mode of data collection

Face-to-face [f2f]

Research instrument

There were five types of questionnaires used in the 2003 National industrial census. The phase I had one scannable questionnaire which collected information on all establishments engaged in mining and quarrying, manufacturing, construction and the production of electricity and water. The location of these establishments were also taken as well as the persons engaged.

During the phase II there were four types of questionnaire. The national industrial census 2003 (manufacturing) labeled 3A which was used for establishments engaging 10+ persons.

The national industrial census 2003 (manufacturing) labeled 3B which was used for establishments engaging less than 10 persons.

The national industrial census 2003 (mining and quarrying) labeled 2 which was used for establishments engaged in mining and quarrying irrespective of number of persons engaged.

The national industrial census 2003 (electricity and water) labeled 4 which was used for establishments engaged in the production of electricity and water irrespective of number of persons engaged.

The national industrial census 2003 (construction) labeled 5 which was used for establishments engaged in construction irrespective of number of persons engaged.

Cleaning operations

All questionnaires were edited for completeness, scope and internal consistency in the office before sending them for data capture. Questionnaires that did not meet the test were set aside for determination. Each questionnaire goes through the hands of a chain of editors i.e. lead editor then by the team leader in charge. All editors are confined to a particular place. This promotes consultations.

During data capture, there was double entry i.e. main and verification with comparison and necessary corrections effected. Structural checks and completeness is also done during data capture.

Response rate

Establishments are classified into mining and quarrying, manufacturing, electricity and production and construction sectors. Under manufacturing we considered establishments which engaged less than 10 persons and that which engaged 10 or more persons.

The frame for establishments engaging 1 - 9 persons is 22,404 The frame for establishments engaging 10+ persons is 4,230

The number of establishments sampled: 1 - 9 =1,263 10+ =4,233

Number of establishment completed: 1 - 9 = 895 10+ = 2,918

Number of establishment out of scope + Association
1 - 9 = 53 10+ = 765

Number of establishment not completed 1 - 9 = 304 10+ = 484

Number of establishment closed down
1 - 9 = 43 10+ = 81

Response rate for : 1 - 9 = 0.77 10+ = 0.86

Response rate is equal to the ratio of number of completed to the adjusted number of not completed establishment

Adjusted number of establishments excludes out of scopes and association, groups and cooperative, closed down and not located establishments

• the difference in the sample and the frame for 10+ persons engaged establishment was due to the migration of 1-9 persons engaged establishment into the 10+ category

Sampling error estimates

Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically. Sample errors was calculated for survey estimates of total number of persons engaged by the 4-digit ISIC to ensure that all ISIC groups had a coefficient of variation (CV) lower than 10 percent

Details of the sampling errors are presented in appendix-3.

Abstract

The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey - a partnership between Facebook, OECD, and The World Bank - provides a timely pulse on the economic environment in which businesses operate and who those businesses are to help inform decision-making at all levels and to deliver insights that can help businesses grow. The Future of Business Survey provides a perspective from newer and long-standing digitalized businesses and provides a unique window into a new mobilized economy.

Policymakers, researchers and businesses share a common interest in the environment in which SMEs operate, as well their outlook on the future, not least because young and innovative SMEs in particular are often an important source of considerable economic and employment growth. Better insights and timely information about SMEs improve our understanding of economic trends, and can provide new insights that can further stimulate and help these businesses grow.

To help provide these insights, Facebook, OECD and The World Bank have collaborated to develop a monthly survey that attempts to improve our understanding of SMEs in a timely and forward-looking manner. The three organizations share a desire to create new ways to hear from businesses and help them succeed in the emerging digitally-connected economy. The shared goal is to help policymakers, researchers, and businesses better understand business sentiment, and to leverage a digital platform to provide a unique source of information to complement existing indicators.

With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Geographic coverage

When the survey was initially launched in February 2016, it included 22 countries. When the survey was initially launched in February 2016, it included 22 countries. The Future of Business Survey is now conducted in over 90 countries in every region of the world.

Countries included in at least one wave: Albania Algeria American Samoa Andorra Angola Anguilla Antigua and Barbuda Argentina Aruba Australia Austria Azerbaijan Bahamas (the) Bangladesh Barbados Belarus Belgium Belize Benin Bolivia (Plurinational State of) Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Cayman Islands (the) Central African Republic (the) Chad Chile Colombia Congo (the) Curaçao Cyprus Czechia Côte d'Ivoire Denmark Djibouti Dominica Dominican Republic (the) Ecuador Egypt El Salvador Equatorial Guinea Estonia Eswatini Ethiopia Faroe Islands (the) Fiji Finland France French Polynesia Gabon Gambia (the) Germany Ghana Gibraltar Greece Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kenya Korea (the Republic of) Kuwait Lao People's Democratic Republic (the) Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Malawi Malaysia Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Monaco Montenegro Morocco Mozambique Myanmar Namibia Nepal Netherlands (the) New Caledonia New Zealand Nicaragua Niger (the) Nigeria North Macedonia Northern Mariana Islands (the) Norway Oman Pakistan Panama Papua New Guinea Paraguay Peru Philippines (the) Poland Portugal Qatar Romania Russian Federation (the) Rwanda Réunion Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands South Africa Spain Sweden Switzerland Taiwan Tanzania, the United Republic of Thailand Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turks and Caicos Islands (the) Uganda United Arab Emirates (the) United Kingdom of Great Britain and Northern Ireland (the) United States of America (the) Uruguay Vanuatu Viet Nam Virgin Islands (British) Virgin Islands (U.S.) Zambia.

Analysis unit

The study describes small and medium-sized enterprises.

Universe

The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

Twice a year in over 97 countries, the Facebook Survey Team sends the Future of Business to admins and owners of Facebook-designated small business pages. When we share data from this survey, we anonymize responses to all survey questions and only share country-level data publicly. To achieve better representation of the broader small business population, we also weight our results based on known characteristics of the Facebook Page admin population.

A random sample of firms, representing the target population in each country, is selected to respond to the Future of Business Survey each month.

Mode of data collection

Internet [int]

Research instrument

The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download.

Response rate

Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMEs invited.

Sampling error estimates

Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of page owners does not include all relevant businesses but also may include individuals that don't represent businesses), and nonresponse error.

Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.