Impact of the coronavirus (COVID-19) pandemic on young people and schools, including analysis of face coverings and remote learning, and breakdowns by age and sex where possible. Indicators from the Schools Infection Survey.

An emergency regulation requiring face coverings in all public, private, parochial, and charter schools in the city, as ratified on September 27, 2021, by the Worcester Board of Health. This regulation was rescinded on March 7, 2022.More information: Visit the Worcester Board of Health webpage to learn more about their resources and regulations.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

Due to the global COVID-19 pandemic, covering the mouth region with a face mask became pervasive in many regions of the world, potentially impacting how people communicate with and around children. To explore the characteristics of this masked communication, we asked nursery school educators, who have been at the forefront of daily masked interaction with children, about their perception of daily communicative interactions while wearing a mask in an online survey. We collected data from French and Japanese nursery school educators to gain an understanding of commonalities and differences in communicative behavior with face masks given documented cultural differences in pre-pandemic mask wearing habits, face scanning patterns, and communicative behavior. Participants (177 French and 138 Japanese educators) reported a perceived change in their own communicative behavior while wearing a mask, with decreases in language quantity and increases in language quality and non-verbal cues. Comparable changes in their team members’ and children’s communicative behaviors were also reported. Moreover, our results suggest that these changes in educators’ communicative behaviors are linked to their attitudes toward mask wearing and their potential difficulty in communicating following its use. These findings shed light on the impact of pandemic-induced mask wearing on children’s daily communicative environment.

During the present time, COVID-19 situation is the topmost priority in our life. We are introducing a new dataset named Covid Face-Mask Monitoring Dataset which is based on Bangladesh perspective. We have a main concern to detect people who are using masks or not in the street. Furthermore, few people are not wearing masks properly which is harmful for other people and we have the intention to detect them also. Our proposed dataset contains 6,550 images and those images collected from the walking street, bus stop, street tea stall, foot-over bridge and so on. Among the full dataset, we selected 5,750 images for training purposes and 800 images for validation purposes. Our selected dimension is 1080 × 720 pixels for entire dataset. The percentage of validation data from the full dataset is almost 12.20%. We used a personal cell phone camera, DSLR for collecting frames and adding them into our final dataset. We have also planned to collect images from the mentioned place using an action camera or CCTV surveillance camera. But, from Bangladesh perspective it is not easy to collect clear and relevant data for research. To extend, CCTV surveillance cameras are mostly used in the university, shopping complex, hospital, school, college where using a mask is mandatory. But our goal of research is different. In addition, we want to mention that in our proposed dataset there are three classes which are 1. Mask, 2. No_mask, 3. Mask_not_in_position.

Item-total statistics of deleted items used to determine or assess secondary school student’s adherence towards COVID-19 preventive practices in Jimma, Oromia, Ethiopia, 2021.

Pearson correlation coefficient of variables used to determine adherence to COVID-19 self-protective practices among secondary school students in Jimma town, Jimma, Oromia, Ethiopia, 2021.

The dataset provided here is associated with the work "Efficacy of masks and face coverings in controlling aerosol particle emission from expiratory activities," by Asadi et al. This includes measurements made of the influence of different types of face coverings (surgical masks, both vented and unvented N95 respirators, and homemade fabric and paper towel masks) on the emission of micron-scale aerosols from various expiratory activities (coughing, breathing, speaking).

Methods Participants were asked to perform various expiratory activities (breathing, speaking, coughing, jaw movement) while wearing no mask or a mask or face covering (surgical masks, vented and unvented N95 respirators, homemade paper towel or one or two-layer cotton masks). Study participants performed these activities in front of a funnel connected to an aerodynamic particle sizer (APS), which measured the size-dependent aerosol concentration. Size-dependent concentrations were measured every 1-second during the activities. Additionally, the intensity and duration of the talking and coughing activities were measured using a calibrated microphone. The APS was located in a HEPA-filtered laminar flow hood to reduce background counts to near zero. Further details are provided in the associated manuscript (Asadi et al., to be submitted) or dissertation chapter (Asadi et al., 2020b). There were 11 participants total.

Provided here for each participant/mask type/expiratory activity are two files:

(i) a text (.txt) file containing the tab-delimited exported files from the APS. Particle sizes are in microns; the smallest size includes all particles measured below that size. Particle counts are given for each size every second.

(ii) a .wav file containing the microphone signals (in volts) recorded during the activity. These files are provided for only the talking and coughing activities.

All files have the naming structure FX_YYYY_ZZZZ or MX_YYYY_ZZZZ, where X is the participant number (1-11) YYYY is the designator for each mask type (KN95, N95, No = no mask, SLP = single-layer paper towel, Surg = surgical, UDLT = double-layer homemade cloth, SDLT = single-layer homemade cloth), and ZZZZ is the activity (Talk, Jaw, Cough, Breath).

Files are additionally provided for experiments where the masks were folded and rubbed against themselves to characterize particle shedding. These files have the names Rub_YYYY, where YYYY is again the mask type.

Data were processed using Matlab. The data are available as a single zip file for download. All personal identifiers have been removed.

The Eigenvalues and total variance explained by the extracted items among secondary school students, Jimma, Oromia, Ethiopia, 2021 (n = 576).

Association between extracted factors and COVID-19 self-protective practice among secondary school students, Jimma, Oromia, Ethiopia, 2021 (n = 576).

Context

Covid-19 Data collected from various sources on the internet. This dataset has daily level information on the number of affected cases, deaths, and recovery from the 2019 novel coronavirus. Please note that this is time-series data and so the number of cases on any given day is the cumulative number.

Content

The dataset includes 28 files scrapped from various data sources mainly the John Hopkins GitHub repository, the ministry of health affairs India, worldometer, and Our World in Data website. The details of the files are as follows

• countries-aggregated.csv A simple and cleaned data with 5 columns with self-explanatory names. -covid-19-daily-tests-vs-daily-new-confirmed-cases-per-million.csv A time-series data of daily test conducted v/s daily new confirmed case per million. Entity column represents Country name while code represents ISO code of the country. -covid-contact-tracing.csv Data depicting government policies adopted in case of contact tracing. 0 -> No tracing, 1-> limited tracing, 2-> Comprehensive tracing. -covid-stringency-index.csv The nine metrics used to calculate the Stringency Index are school closures; workplace closures; cancellation of public events; restrictions on public gatherings; closures of public transport; stay-at-home requirements; public information campaigns; restrictions on internal movements; and international travel controls. The index on any given day is calculated as the mean score of the nine metrics, each taking a value between 0 and 100. A higher score indicates a stricter response (i.e. 100 = strictest response). -covid-vaccination-doses-per-capita.csv A total number of vaccination doses administered per 100 people in the total population. This is counted as a single dose, and may not equal the total number of people vaccinated, depending on the specific dose regime (e.g. people receive multiple doses). -covid-vaccine-willingness-and-people-vaccinated-by-country.csv Survey who have not received a COVID vaccine and who are willing vs. unwilling vs. uncertain if they would get a vaccine this week if it was available to them. -covid_india.csv India specific data containing the total number of active cases, recovered and deaths statewide. -cumulative-deaths-and-cases-covid-19.csv A cumulative data containing death and daily confirmed cases in the world. -current-covid-patients-hospital.csv Time series data containing a count of covid patients hospitalized in a country -daily-tests-per-thousand-people-smoothed-7-day.csv Daily test conducted per 1000 people in a running week average. -face-covering-policies-covid.csv Countries are grouped into five categories: 1->No policy 2->Recommended 3->Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible 4->Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible 5->Required outside the home at all times regardless of location or presence of other people -full-list-cumulative-total-tests-per-thousand-map.csv Full list of total tests conducted per 1000 people. -income-support-covid.csv Income support captures if the government is covering the salaries or providing direct cash payments, universal basic income, or similar, of people who lose their jobs or cannot work. 0->No income support, 1->covers less than 50% of lost salary, 2-> covers more than 50% of the lost salary. -internal-movement-covid.csv Showing government policies in restricting internal movements. Ranges from 0 to 2 where 2 represents the strictest. -international-travel-covid.csv Showing government policies in restricting international movements. Ranges from 0 to 2 where 2 represents the strictest. -people-fully-vaccinated-covid.csv Contains the count of fully vaccinated people in different countries. -people-vaccinated-covid.csv Contains the total count of vaccinated people in different countries. -positive-rate-daily-smoothed.csv Contains the positivity rate of various countries in a week running average. -public-gathering-rules-covid.csv Restrictions are given based on the size of public gatherings as follows: 0->No restrictions 1 ->Restrictions on very large gatherings (the limit is above 1000 people) 2 -> gatherings between 100-1000 people 3 -> gatherings between 10-100 people 4 -> gatherings of less than 10 people -school-closures-covid.csv School closure during Covid. -share-people-fully-vaccinated-covid.csv Share of people that are fully vaccinated. -stay-at-home-covid.csv Countries are grouped into four categories: 0->No measures 1->Recommended not to leave the house 2->Required to not leave the house with exceptions for daily exercise, grocery shopping, and ‘essent...

Purpose: The ongoing COVID-19 pandemic has prompted changes to child assessment procedures in schools such as the use of face masks by assessors. Research with adults suggests that face masks diminish performance on speech processing and comprehension tasks, yet little is known about how assessor masking affects child performance. Therefore, we asked whether assessor masking impacts children’s performance on a widely used, individually administered oral language assessment and if impacts vary by child home language background.Method: A total of 96 kindergartners (5–7 years old, n = 45 with a home language other than English) were administered items from the Clinical Evaluation of Language Fundamentals Preschool–Second Edition Recalling Sentences subtest under two conditions: with and without the assessor wearing a face mask. Regression analysis was used to determine if children scored significantly lower in the masked condition and if the effect of masking depended on home language background.Results: Contrary to expectations, we found no evidence that students scored systematically differently in the masked condition. Children with a home language other than English scored lower overall, but masking did not increase the gap in scores by language background.Conclusions: Our results suggest that children’s performance on oral language measures is not adversely affected by assessor masking and imply that valid measurements of students’ language skills may be obtained in masked conditions. While masking might decrease some of the social determinants of communication (e.g., recognition of emotions), masking in this experiment did not appear to detract from children’s ability to hear and immediately recall verbal information.Supplemental Material S1. Multiple regression predicting odd items sum score as a function of Group A (masked) and Group A by sentence comprehension interaction, as a continuous and a dichotomized variable.Supplemental Material S2. Multiple regression predicting even items sum score as a function of Group B (masked) and Group B by sentence comprehension interaction, as a continuous and a dichotomized variable.Supplemental Material S3. Multiple regression predicting odd items sum score as a function of Group A (masked), controlling for study condition.Supplemental Material S4. Multiple regression predicting even items sum score as a function of Group B (masked), controlling for study condition.Supplemental Material S5. Testing interactions between group and home language, controlling for study condition.Surrain, S., Mesa, M. P., Assel, M. A., & Zucker, T. A. (2023). Does assessor masking affect kindergartners’ performance on oral language measures? A COVID-19 Era experiment with children from diverse home language backgrounds. Language, Speech, and Hearing Services in Schools, 54(4), 1323–1332. https://doi.org/10.1044/2023_LSHSS-22-00197

Communalities and factor loadings explained by extracted items among secondary school students, Jimma, Oromia, Ethiopia, 2021 (n = 576).

Explore the booming Face Mask Vending Machine market, driven by health awareness and smart technology. Discover market size, CAGR, key drivers, and regional growth for this essential automated retail solution.

The global children's mask market is experiencing robust expansion, projected to reach an estimated USD 1,500 million by 2025, with a Compound Annual Growth Rate (CAGR) of approximately 8.5% between 2019 and 2033. This significant market size reflects the sustained and evolving demand for protective respiratory gear tailored for younger demographics. The market is primarily driven by increasing parental awareness regarding children's health and safety, especially in the wake of heightened concerns about air pollution, allergens, and infectious diseases. Furthermore, government initiatives promoting public health, coupled with the growing availability of comfortable and child-friendly mask designs, are bolstering market growth. The sector is witnessing a surge in innovation, with manufacturers focusing on breathable materials, ergonomic fits, and appealing designs to encourage consistent usage among children. Disposable masks continue to dominate the market due to their convenience and affordability, particularly for everyday use. However, there is a discernible trend towards the adoption of non-disposable, washable masks as consumers become more environmentally conscious and seek cost-effective long-term solutions. The children's mask market is segmented across various age groups, with the 6-9 Years and 9 Years and Over segments currently holding substantial shares, driven by school attendance and increased outdoor activities. The younger age groups, Under 2 Years and 2-6 Years, are also showing promising growth as awareness about early respiratory protection gains traction. Geographically, the Asia Pacific region is a key growth engine, primarily led by China and India, due to their large child populations and escalating air quality concerns. North America and Europe are also significant markets, characterized by high disposable incomes and a strong emphasis on child well-being. Key players such as 3M, Honeywell, and Kimberly-Clark are actively investing in research and development to introduce advanced filtering technologies and designs that cater specifically to children's needs, further shaping the competitive landscape. Despite the positive trajectory, potential restraints include fluctuating raw material costs and occasional skepticism regarding the necessity of mask-wearing among younger children in certain regions, which the industry is actively addressing through educational campaigns.

The global Anti-spray Baby Mask market is poised for significant expansion, projected to reach a substantial market size of approximately USD 250 million in 2025, and is expected to witness a robust Compound Annual Growth Rate (CAGR) of around 7.5% during the forecast period of 2025-2033. This growth trajectory is primarily fueled by increasing parental awareness regarding infant respiratory health and the growing concern over airborne pollutants and infectious diseases. The market is witnessing a dynamic shift towards online sales channels, driven by convenience and wider product accessibility for parents. While offline sales channels still hold a considerable share, the digital landscape is rapidly gaining traction, particularly for specialized baby care products. The primary applications for these masks revolve around protecting infants from airborne irritants, allergens, and pathogens, thereby safeguarding their developing respiratory systems. The market is segmented by age group, with masks designed for infants aged 0-3 years representing a dominant segment due to their heightened vulnerability to environmental factors. The 3-6 years age group also presents a growing opportunity as children in this range become more exposed to public spaces and school environments. Key drivers propelling this market forward include a rising global birth rate, increased disposable income in emerging economies, and advancements in mask material technology that offer enhanced breathability and comfort for babies. However, potential restraints include price sensitivity among some consumer segments and the need for greater standardization and regulatory oversight to ensure product efficacy and safety. Major industry players such as 3M, Honeywell, Pigeon, and Unicharm are actively investing in research and development to innovate and capture a larger market share, focusing on hypoallergenic materials and ergonomic designs tailored for infant comfort. Here is a unique report description for Anti-spray Baby Masks, incorporating the requested elements:

Distribution of individual school staff responses to mitigation survey items and school-level response agreement (see S3 Appendix).

Abstract

This study is a part of a larger project on education in Zambia. The overall project included the schools survey, provincial education offices and district education offices surveys, testing of students in sampled schools, the household survey and the student survey. The project covered households in a catchment area of 36 isolated schools. Researchers also proposed to re-test students who participated in tests under 2001 National Assessment Survey (NAS). As part of the re-testing exercise, 3,200 pupils formed the initial sample for the administration of tests in English, mathematics, and vernacular. In addition, 20 randomly chosen students from Grade V and Grade VI were interviewed for the student survey.

Documented here are datasets covering schools, Provincial Education Offices (PEO) and District Education Offices (DEO).

Education expenditures in Zambia (apart from teacher salaries) are distributed through an administrative hierarchy consisting of PEOs and DEOs. The survey data contain a detailed tracking of resources allocated by the government through this hierarchy to schools. Approaches of public expenditure tracking surveys (PETS) and quantitative service delivery surveys (QSDS) are integrated in this study.

The study was carried out by the Government of Zambia and the World Bank. It covered 184 primary (grades 1-7) and basic (grades 1-9) schools, 33 DEOs and four PEOs in four provinces: Lusaka, Copperbelt, Northern, and Eastern.

Geographic coverage

Lusaka, Copperbelt, Northern, and Eastern provinces.

Analysis unit

• District Education Offices;
• Provincial Education Offices;
• Schools;
• Teachers;
• Head-Teachers;
• Students.

Kind of data

Sample survey data [ssd]

Sampling procedure

A random sample stratified on the basis of urban and rural locations included 184 schools in 33 districts. The schools surveyed were chosen from a frame of primary (grades 1-7) and basic (grades 1-9) schools in four Zambian provinces: Lusaka, Copperbelt, Northern, and Eastern. The choice of these four provinces was dictated primarily by the variation in educational attainments, regional incomes, and administrative structures. Specifically, Lusaka and Copperbelt are the two richest provinces in Zambia, with high enrollment rates, and Northern and Eastern provinces are the poorest, with enrollment rates only marginally better than the worst performing Central province.

Since this study is linked to 2001 National Assessment Survey (NAS), the choice of schools in the sample was restricted by the sampling methodology of the NAS. The NAS sampling was based on a probability-proportional to size methodology. For this study, researchers surveyed about half the schools covered in NAS 2001. For details on sampling methodology, please refer to "Zambia ESDS 2002 Sampling Note " in external resources.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available:

• District Education Office Questionnaire (Part I)
• District Education Office Questionnaire (Part II)
• Provincial Education Office Questionnaire (Part I)
• Provincial Education Office Questionnaire (Part II)
• General School Questionnaire
• Teacher Roster Card
• Head-Teacher Questionnaire
• Teacher Questionnaire, Grades I-VI
• Head-Teacher Matching Roster
• Pupil Matching Roster.

The Teacher Questionnaire was designed to examine two sorts of inputs that may impact on the performance of a teacher: first are the teacher-inputs such as demographic and educational characteristics and second are institutional inputs (primarily teacher salaries). The teacher questionnaire thus focuses on obtaining a basic demographic and educational profile of the teacher, and then moves on to asking about salary and allowances, as well as delays in the receipt of payments.

The Head-Teacher Questionnaire starts with the same sections as the teacher questionnaire. Several additional sections then probe the characteristics of teachers, pupils, parents (through the PTA section) and the administrative structure (through the Relationship with DEO/PEO sections). Finally the head-teacher questionnaire also contains a section on decisions and shortages, where we try to understand the nature of the financial constraints that schools are operating under.

The General School Questionnaire has a three-fold purpose. First, researchers believed that school infrastructure and location themselves may be important for learning achievement; the first few sections of this questionnaire thus systematically ask about the availability and condition of infrastructure in the school. Second, the questionnaire examines the characteristics of the student population in the school such as the overall profile of attendance and grade-repetition. Finally, the questionnaire links to the DEO/PEO questionnaire to complete the Public Expenditure Tracking exercise. To enable researchers to track the flow of resources, the questionnaire then asks about the receipt of resources from other levels of the administration such as the DEO and the PEO's offices.

The District Education Office and Provincial Education Office Questionnaires like the General School and the Head-Teacher Questionnaires, are designed to address two different components of the survey. Part II is concerned with the tracking of public expenditure-how much do the DEO and PEO offices receive? What are the primary expenses in these offices? Part I is similar in form to the head-teacher questionnaire, and asks about the demographic and educational characteristics of the DEO/PEO, before moving on to examine the views of the DEO on their relationship with schools (through visits and inspections) and the overall educational administration.

Head-Teacher Matching Roster and Pupil Matching Roster were designed to match students, who were tested in math and English and other subjects in 2001 and 2002, with teachers, and to carefully identify the changes that could have potentially affected students during the last year. The datasets documented here do not include test scores.

Cleaning operations

Detailed information about data editing procedures is available in "Data Cleaning Guide for PETS/QSDS Surveys" in external resources.

STATA cleaning do-files and data quality reports can also be found in external resources.

Demographics of survey respondents; *obtained from Welsh Government data online [32].

The Youth Cohort Study (YCS) is a major programme of longitudinal research designed to monitor the behaviour and decisions of representative samples of young people aged sixteen upwards as they make the transition from compulsory education to further or higher education, or to the labour market. It tries to identify and explain the factors which influence post-16 transitions, for example, educational attainment, training opportunities, experiences at school. To date the YCS covers thirteen cohorts and over forty surveys. The first cohort was first surveyed in 1985 and the thirteenth in 2007. The questionnaires have been designed, over the years, to be broadly comparable, but external changes and shifts in policy interest have brought about changes - some minor, some fundamental. Cohorts One to Twelve cover England and Wales but a change to the methodology means that from Cohort Thirteen, data cover England only. For further details of the methodology and coverage, see the documentation.

The UK Data Archive currently holds data for the cohorts listed below:

• Cohort One (SN 3093) surveyed those eligible to leave school in 1983-84
• Cohort Two (SN 3094) surveyed those eligible to leave school in 1984-85
• *Cohort Three (SN 3012) surveyed those eligible to leave school in 1985-86
• Cohort Four (SN 3107) surveyed those eligible to leave school in 1987-88
• Cohort Five (SN 3531) surveyed those eligible to leave school in 1989-90
• Cohort Six (SN 3532) surveyed those eligible to leave school in 1990-91
• Cohort Seven (SN 3533) surveyed those eligible to leave school in 1992-93
• Cohort Eight (SN 3805) surveyed those eligible to leave school in 1995-96
• Cohort Nine (SN 4009) surveyed those eligible to leave school in 1996-97
• Cohort Ten (SN 4571) surveyed those eligible to leave school in 1998-99
• Cohort Eleven (SN 5452) surveyed those eligible to leave school in 2000-01
• Cohort Twelve (SN 5830) surveyed those eligible to leave school in 2002-03
• Cohort Thirteen (SN 6024) surveyed those eligible to leave school in 2005-06

*Some teaching materials using the data from Cohort Three have been developed. Details are available from the Teaching Resources and Materials for Social Scientists (TRAMSS) website.
Cohort Thirteen:
The methodology of the YCS changed at Cohort Thirteen, to allow linkage with the Longitudinal Study of Young People in England (LSYPE) (held at the UK Data Archive under SN 5545). Samples for Cohort Thirteen and LSYPE were taken from the same academic cohort and their questionnaires and methodology were harmonised to facilitate analysis of the merged datasets. Also, from Cohort Thirteen onwards, the YCS is only conducted in England and no longer runs in Wales. The larger sample from the combined YCS and LSYPE surveys enables analysis at a greater level of detail, for example to show gender differences within a breakdown by ethnic origin.

The data collection method for Cohort Thirteen was different to previous YCS surveys. Sweep One used a face-to-face methodology in order to address falling response rates on recent YCS cohorts. Sweeps Two, Three and Four were conducted using a mixed-mode methodology (online, telephone and face-to-face interviewing). In particular, there had been concern over differential response rates between high attainers and low attainers, and it was considered that the use of a face-to-face method at Sweep One mixed-mode at Sweeps Two to Four, would boost response rates amongst low attainers.

Users who require more detailed data than those available in the standard access files should consult the User Guide for details. The confidentiality form to be used for such applications is available in Word format in the documentation table below.

For the second edition (February 2011), data and documentation from Sweeps Two and Three were added to the study. For the third edition (February 2012), data and documentation from Sweep Four were added.

BASE YEAR	2024
HISTORICAL DATA	2019 - 2023
REGIONS COVERED	North America, Europe, APAC, South America, MEA
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2024	1158.4(USD Million)
MARKET SIZE 2025	1281.2(USD Million)
MARKET SIZE 2035	3500.0(USD Million)
SEGMENTS COVERED	Application, Product Type, Payment Method, End Use, Regional
COUNTRIES COVERED	US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICS	rising health awareness, convenience of access, increased demand in public spaces, innovative vending technology, cost-effective distribution solution
MARKET FORECAST UNITS	USD Million
KEY COMPANIES PROFILED	Automated Vending Technologies, Nayax, Seaga Manufacturing, TAMPOPRINT, Vending.com, AIVENDING, Crown Equipment Corporation, Innovative Vending Solutions, Eurovending, Fastcorp Vending, VendPro, Cantaloupe Systems, Access Retail, Kiosk Group, Crane Payment Innovations
MARKET FORECAST PERIOD	2025 - 2035
KEY MARKET OPPORTUNITIES	Increased health awareness initiatives, Expansion in urban areas, Customization for diverse masks, Contactless payment technologies adoption, Integration with smart city infrastructure
COMPOUND ANNUAL GROWTH RATE (CAGR)	10.6% (2025 - 2035)