Introduction

SSL Statistics: SSL, or Secure Socket Layer, is the most common security method used online. You may not notice it, but you may visit sites with SSL certificates every day, and you don't need to be a tech expert to spot it. If a website address starts with "HTTPS," the "S" means it’s secure. This shows SSL protects the site.

Most popular websites now use SSL to keep them safe. Learning about SSL certificates can help you understand website security better and keep you safer while browsing. We shall shed more light on SSL Statistics through this article.

Introduction

SSL Statistics: SSL is short for Secure Sockets Layer, a security technology that allows a web server and a browser to create an encrypted link. This ensures that all data transmitted between the server and the client remains secure and private.

SSL has been replaced by Transport Layer Security (TLS), but the term SSL is still commonly used to refer to both technologies. This article includes several statistical analyses and current trends from different perspectives that will help you understand SSL's effectiveness and security.

The statistic shows findings on the preferred SSL certificate provider of choice by developers globally, as of 2017. According to the survey, 67 percent of the respondents preferred LetsEncrypt as of that time.

You would have come across the term SSL while talking about website security and encryption. Even if you haven’t heard the term, you have come across websites that use SSL certificates. Well, if you see HTTPS on the URL bar when you open a website, it means the site is...

The EV SSL (Extended Validation Secure Sockets Layer) Certification market is a critical segment of the cybersecurity landscape, focusing on enhancing the trustworthiness and security of online transactions. EV SSL Certificates, which provide heightened validation for websites, play an essential role in reassuring u

The Secure Socket Layer (SSL) Certification market plays a pivotal role in ensuring the security and integrity of online communications, making it an essential component for businesses engaging in any form of digital transactions. SSL certificates encrypt data exchanged between users and websites, safeguarding sensi

The Solid-State Lighting (SSL) market has emerged as a transformative force in the lighting industry, utilizing semiconductor technology to produce light efficiently and sustainably. Unlike traditional lighting solutions that rely on filaments or gas, SSL harnesses the power of Light Emitting Diodes (LEDs) and organ

The Secure Sockets Layer (SSL) Certification market plays a pivotal role in today's digital landscape, ensuring safe communication between users and websites by encrypting sensitive data. As cyber threats become increasingly sophisticated, businesses are recognizing the importance of SSL certificates not only for se

We propose a new method for high-dimensional semi-supervised learning problems based on the careful aggregation of the results of a low-dimensional procedure applied to many axis-aligned random projections of the data. Our primary goal is to identify important variables for distinguishing between the classes; existing low-dimensional methods can then be applied for final class assignment. To this end, we score projections according to their class-distinguishing ability; for instance, motivated by a generalized Rayleigh quotient, we can compute the traces of estimated whitened between-class covariance matrices on the projected data. This enables us to assign an importance weight to each variable for a given projection, and to select our signal variables by aggregating these weights over high-scoring projections. Our theory shows that the resulting Sharp-SSL algorithm is able to recover the signal coordinates with high probability when we aggregate over sufficiently many random projections and when the base procedure estimates the diagonal entries of the whitened between-class covariance matrix sufficiently well. For the Gaussian EM base procedure, we provide a new analysis of its performance in semi-supervised settings that controls the parameter estimation error in terms of the proportion of labeled data in the sample. Numerical results on both simulated data and a real colon tumor dataset support the excellent empirical performance of the method. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.

The Goniophotometers for LED and Solid State Lighting (SSL) market plays a crucial role in the evolution of lighting technologies. Goniophotometers are specialized instruments that measure the photometric performance of light sources, particularly important for assessing LED and SSL products. These devices enable ma

The Solid State Lighting (SSL) market represents a revolutionary shift in the illumination landscape, driven by advancements in LED (Light Emitting Diode) technology and emerging innovations in organic light-emitting diodes (OLEDs). Solid State Lighting has rapidly gained traction across various industries due to it

As of September 2022, more than 60 percent of all phishing websites in Thailand were hosted on HTTPS domains using a valid SSL certificate. A lot of cyberattacks start with phishing emails sent to unwary victims. Usually, a link in an email sent from an official address, such as a business or well-known individual, is used to lure people to phishing sites.

Workplace safety and injury data for Corporate/Baltimore General/ RE Michel/Regional Road/ SSL MD

The SSL certification market plays a vital role in securing online transactions, protecting sensitive information, and boosting consumer trust in digital environments. SSL, or Secure Sockets Layer, is a protocol that encrypts data exchanged between a user's browser and a web server, ensuring that personal and financ

This statistic presents the ways of protecting online cards against fraud in the United States in 2016. In that year, 53 percent of the Americans used SSL sites in order to protect their online cards against fraud.

Abstract

Being the first labor force survey in the country since 1984, and the first since the end of the conflict, the 2014 Labor Force Survey (LFS) contributed to the construction of reliable employment statistics in Sierra Leone. Previously, the main source of information on the labor market was the 2004 and 2011 Sierra Leone Integrated Household Surveys, which contained limited information on the labor force. To help fill this important knowledge gap, Statistics Sierra Leone (SSL), with the support of the World Bank, the International Labour Organization (ILO), and the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), designed and implemented the 2014 Sierra Leone Labor Force Survey. The survey data was collected between July and August 2014 and constitute a nationally representative sample. The 2014 LFS contains a wealth of information on labor market activities, including detailed data on household enterprises and agricultural activities.

Geographic coverage

National

Analysis unit

• Individuals
• Households

Kind of data

Sample survey data [ssd]

Sampling procedure

The LFS is a nationally representative survey, relying on a stratified cluster sample with oversampling in urban areas. It covered 280 enumeration areas (EAs) or clusters, with 15 households selected in each for a total of 4,200 households. SSL conducted the sampling using the 2004 Population and Housing Census as the sampling frame.

In the Sierra Leone Population and Housing Census (SLPHC 2004), the labor underutilization rate was estimated at 27.5%, which at the time was considered one of the most important indicators to be produced from a labor force survey in an economy such as that in Sierra Leone.

The target number of households in the sample, i.e. the sample size, was thus estimated at 4,200, based on the computed value of 4296 rounded down to 4200 for ease of use and due to budget constraints.

However, due to the Ebola outbreak, which began in the final stages of data collection, four selected EAs were quarantined in Kailahun district, Eastern region, immediately prior to the data collection. These EAs were replaced with new EAs randomly selected following the same methodology used to select the original EAs. In addition, one additional cluster was quarantined in Bombali, Northern region (EA 210706081), and it was not possible to replace this cluster using the same randomization methodology as this occurred during the data collection. As a result, this cluster was excluded in conducting the data analysis.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The survey instrument is divided into two parts, Part I - Labor Force Survey, and Part II - Non-Farm Enterprises and Farming Activities, as follows:

Part I SECTION A. Household listing and demographic information SECTION B. Education, training, and migration SECTION C. Current economic activity – screening form SECTION D. Unemployment or inactivity SECTION E. Current main economic activity SECTION F. Current secondary economic activity SECTION G. Usual economic activity SECTION H. Industrial relations and occupational injuries SECTION I. Time-related underemployment and inadequate employment situations SECTION J. Other activities and time use

Part II SECTION K. Family/household non-farm enterprises SECTION L. Farming activities

Part I was administered to all LFS eligible individuals, with the exception of Section J, covering other activities and time use, which applied to those ages five and above. Part II of the questionnaire was applied to the head of household only.

Response rate

Non-response rate was 1.5 percent, which is low, in particular in view of the difficulties encountered by the field teams caused by the early cases of the Ebola virus.

The Secure Sockets Layer (SSL) Inspection market is a vital sector in the realm of cybersecurity, ensuring that encrypted data transmitted over the internet remains secure while allowing organizations to inspect that data for threats. As cyber threats evolve, the need for effective SSL inspection has become paramoun

The SSL and TLS Certificates Tool market has become an essential segment within the broader cybersecurity landscape, driven by the increasing need for secure data transmission over the internet. SSL (Secure Sockets Layer) and TLS (Transport Layer Security) certificates are crucial in establishing secure connections

Abstract

The Republic of Sierra Leone is a small coastal West African country bordered by Guinea and Liberia. Sierra Leone has an area of 71,620 square kilometers (about 28,000 square miles). The country is divided into four major Administrative Areas namely, The Western Area, Northern Province, Southern Province and Eastern Province.

The Provinces are divided into twelve districts and the districts are divided into one hundred and forty nine chiefdoms. Western Area is divided into (Western Urban) Freetown and Western Rural Areas. Freetown is divided into wards.

There are five Physical Regions in Sierra Leone: (i) The Central Plains, (ii) The Northern Woodlands Savannah, (iii) The South Western Upland, (iv) The Western Coastal Swamps and (v) the Western Peninsula Upland Region.

The country is mountainous; about 50% of the terrain is covered by mountains including the Capital, Freetown. Agriculture is the main occupation for the people of Sierra Leone; especially rice farming in which about 60% of the people are engaged through the practice of shifting cultivation.

Sierra Leone has a tropical climate with two very different seasons - the Dry Season, traditionally from November to April and the Rainy Season from May to October with July and August being the wettest months of the year. In 2004, the census was taken in December.

This is the final report of the 1985 National Population and Housing Census. It is an analytical report and provides a detailed picture of the demographic, socio-economic and household-housing situation in the country. The entire exercise was carried out by local analysts. Finally whereas the total population counted was 3,515,812, some characteristics like education, economic activity, fertility etc. are tabulated and therefore analysed for a total population of 3,222,901.

A number of volumes have preceded this final report. These volumes have presented data on various aspects of the country's population and the general housing conditions. These include data on the demographic, social and economic characteristics of the population; the analysis of age and sex structure; fertility and mortality; migration and housing. Furthermore, detailed and small-area statistics will be available on request at the Central Statistics Office.

The ultimate objective of the census was to enhance national capacity in planning by providing estimates of total population and its growth rates, fertility, mortality, and other related socio-economic indicators. Data collection was completed within the first two weeks of December 1985 and the provisional results submitted and accepted by Government in January 1986. Thereafter, machine processing of the data was carried out until April 1990 when the final statistical tables were produced. The results were finally endorsed by the Government of Sierra Leone in May, 1992 and a National Seminar for dissemination of the results was held in that same month.

A national undertaking of this magnitude depends for its accomplishment on a great number of factors. Adequate financial resources, technical know-how, national and unflinching public co-operation are among the most important ingredients for success.

In presenting this final report, the Central Statistics Office would again like to take this opportunity to acknowledge the valuable contributions made to the success of the project by various national and international organizations, government agencies and institutions and the general public. Financial assistance, material and human resources for the census project were provided by the Sierra Leone Government, the United Nations Population Fund (UNFPA), the United Nations Development Programme (UNDP), the Federal Republic of Germany and the Economic Commission for Africa (ECA).

Special mention must be made of the authors who worked on areas of speciality and who inspite of all the odds continued to support every stage of the census up to its final conclusion. The final editing of this report was jointly concluded by the Census Analyst, Professor H.B.S. Kandeh and UNFPA/Country Support Team (CST) Regional Adviser Dr. K. V. Ramachandran of the Economic Commission for Africa, whose dedication is greatly appreciated.

Finally, the resourcefulness and dedication demonstrated by Dr. Peter L. Tucker, Census Commissioner, staff of the National Population Secretariat and the Central Statistics Office have been acknowledged by all.

This publication marks the successful conclusion of the 1985 census and I now look forward to your continued support as the Government prepares for the 1996 National Population and Housing Census.

Geographic coverage

Country-Wide

Analysis unit

Household and individuals

Universe

Everybody that slept within the boundaries of Sierra Leone on Census Night (2nd - 3rd December 1985)

Kind of data

Census/enumeration data [cen]

Sampling procedure

There was no sampling procedures as it was a national survey

Mode of data collection

Face-to-face [f2f]

Research instrument

The scope of a census as finally determined is reflected in the questionnaire which contains the topics to be investigated in the census. The selection of topics for the 1985 census was based on a balanced consideration of all the major factors involved, such as the requests for data submitted by the various Government Ministries; Local and International Organizations; the ability of the Enumerators to ask questions correctly and the respondents to furnish reasonably accurate answers; the need to keep the questionnaire of reasonable length and so on.

Because of the wide variety of data sought, the possibility of collecting some of the data by means of sampling methods was considered. The idea was, however, abandoned, because it was feared that this might introduce too many complications into the processing and yield results of doubtful quality. It was decided that the entire population was to be treated uniformly during the enumeration. The proposed questionnaire for the census was fully tested in the Pilot Census and the results provided the basis for the preparation of the final questionnaire (Appendix 1.1).

The questions on relationship within household, sex, age, nationality and place of birth are standard questions in African Censuses. In view of the great need for information on fertility and mortality, questions on children born and survival of parents were also included; data from which would yield reasonable estimates of these parameters by the use of special well-known techniques, since information on fertility and mortality had been collected in the 1974 Census. The inclusion of questions on housing represented a significant improvement over the 1963 and 1974 censuses. Questions on level of education and school attendance asked in 1963 and 1974 were repeated. No question was included on literacy, as experience had shown that this topic usually poses problems under enumeration conditions as there are other ways of obtaining reasonable estimates of literacy level.

Questions on the economic characteristics of the population are also regarded as basic in any census, although these topics are amongst the most difficult to investigate properly in African censuses. Much consideration was therefore given to the economic questions which were included in the questionnaire. There was a great demand for data on employment status and on the distribution of the working population by occupation and industry.

In the interest of ease of handling and economy, it was decided after the Pilot Census experience that the questionnaires should be bound up into pads of 50 questionnaires each consisting of 10 lines. Since the vast majority of household comprised less than 10 persons, the arrangement was very convenient as it allowed all the particulars for a household to be accommodated on one page in the majority of cases. This made for easier cross-checking of answering to questions pertaining to the members of the same household and promoted more accurate reporting.

Cleaning operations

Data editing took place at a number of stages through the processing, including:

• Office editing and coding
• Secondary editing

Detailed documentation of the editing of data can be found in the "Census Coding Schedule" document provided as an external resource

Sampling error estimates

Not Applicable. Entire population was covered country-wide

Data appraisal

A Post-Enumeration survey was conducted to assess the reliability of data or any observations regarding data quality.

Data collection and refinement statistics parameters.