As of the fourth quarter of 2024, Naver accounted for close to 30 percent of the desktop search engine market in South Korea. Naver's position in the market has improved greatly, up from around 7.3 percent market share compared to the beginning of 2021.

In the first quarter of 2020, the search engine operators in China generated a total revenue of ***** billion yuan, representing a year-on-year loss rate of **** percent due to the coronavirus pandemic impact on advertising revenue. Baidu has made a significant success in China's online search market.

As of the fourth quarter of 2024, Naver accounted for around ** percent of the mobile search engine market in South Korea. Since the second quarter of 2021 there has been a continuous increase of Naver's market share, reaching the peak during the time of consideration in the second quarter of 2024. Despite not being the search engine with the overall highest market share, Naver had a stronger position on the mobile search market than on the desktop search market.

In the second quarter of 2022, 2,148 from the total of 21,270 ads were posted on the dark web were job search ads. This figure saw a spike in the first quarter of 2020, at the beginning of the Covid-19 pandemic, when some people became unemployed. During that quarter, around 40 percent of the ads posted on dark web forums were job search posts.

Data from SAFE (https://www.archer.ac.uk/safe) and Quarter 1 2015 Service Report from ARCHER Computational Science and Engineering Service. These contain data on usage and performance of the ARCHER CSE Service for Quarter 1 2015 (January - March 2015).

The Construction Status Q1 report shows that 5,598 homes were under construction at end Q1 2019; and some 2,180 homes had been approved and were about to go on site. The full programme listed in the report now includes 1,416 schemes (or phases), delivering 20,324 homes - a substantial increase on the 14,813 homes which were in the programme at the end of Q1 2018

In the first quarter of 2025, the Chinese search engine Baidu recorded a revenue of nearly 4.4 billion U.S. dollars. Overall, the revenue of Baidu showed an upward trend with mild fluctuations.

In the second quarter of 2024, approximately 2.23 million people were looking for work in France. Men were in the majority in the work search. Since the beginning of 2017, the number of people looking for work in France has decreased from 2.85 to 2.23 million people.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The assets (or net acquisition of assets) of money market funds in Hungary increased by 23.8 billion Forint (+4.41 percent) in the fourth quarter of 2023. While the growth in this industry is slowing down, with 563.1 billion Forint, the assets are at their peak in the observed period. Find more key insights for the assets (or net acquisition of assets) in countries like Finland, Belgium, and Poland.

General description: File containing the results of the study produced by Yanport in August 2020 on the rental and capital yield of car parks in cities with more than 100,000 inhabitants of metropolitan France. If you use this data please quote Yanport: https://www.yanport.com/ Corresponding Article: https://www.yanport.com/blog/posts/investir-parking-france-2020?utm_source=blog&utm_medium=social&utm_campaign=parking2020 ** Tabs**: Cities: contains results for the 40 cities of Metropolitan France Variables: N_price_medium: number of properties used to calculate the average displayed price (year 2019 Q2 to 2020 Q1 included). price_medium: average price displayed in EUR (year 2019 Q2 to 2020 Q1 included). N_loyer_medium: number of properties used to calculate the average rent (year 2019 Q2 to 2020 Q1 included). rent_medium: average rent in EUR (year 2019 Q2 to 2020 Q1 included). yield_loc: rental yield in % (rent_medium*12/medium price*100) N_prix_2019: number of goods used to calculate the average displayed price in 2019. price_2019: average price displayed in 2019 in EUR. N_prix_2017: number of goods used to calculate the average displayed price in 2017. price_2017: price shown average in 2017 in EUR. yield_cap: annualised return on capital between 2017 and 2019 in %: ((price_2019/price_2017)^(1/2)-1)*100 N_pub_med: number of properties used to calculate the median publication period for rentals (including Q2 to 2020 Q1) pub_med: median publication duration for rentals in days (including Q2 to 2020 Q1). License: Open license version 2.0: https://www.etalab.gouv.fr/wp-content/uploads/2017/04/ETALAB-Licence-Ouverte-v2.0.pdf

Explore the historical Whois records related to q1-watches.com (Domain). Get insights into ownership history and changes over time.

Data from SAFE (https://www.archer.ac.uk/safe) and Quarter 1 2014 Service Report from ARCHER Computational Science and Engineering Service. These contain data on usage and performance of the ARCHER CSE Service for quarter 1 2014 (January - March 2014).

The Airline Origin and Destination Survey (DB1B) is a 10% sample of airline tickets from reporting carriers collected by the Office of Airline Information of the Bureau of Transportation Statistics. Data includes origin, destination and other itinerary details of passengers transported. This database is used to determine air traffic patterns, air carrier market shares and passenger flows.

As of the fourth quarter of 2024, Google accounted for roughly **** percent of the mobile search engine market in South Korea. This was a decrease compared to previous years, and continued the downwards trend mobile Google search engine usage recorded since the second quarter in 2021.

Prompt Payments by Public Sector Bodies Reporting Template pursuant to Government Decision S29296

A live version of the data record, which will be kept up-to-date with new estimates, can be downloaded from the Humanitarian Data Exchange: https://data.humdata.org/dataset/covid-19-mobility-italy.

If you find the data helpful or you use the data for your research, please cite our work:

Pepe, E., Bajardi, P., Gauvin, L., Privitera, F., Lake, B., Cattuto, C., & Tizzoni, M. (2020). COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown. Scientific Data 7, 230 (2020).

The data record is structured into 4 comma-separated value (CSV) files, as follows:

id_provinces_IT.csv. Table of the administrative codes of the 107 Italian provinces. The fields of the table are:

COD_PROV is an integer field that is used to identify a province in all other data records;

SIGLA is a two-letters code that identifies the province according to the ISO_3166-2 standard (https://en.wikipedia.org/wiki/ISO_3166-2:IT);

DEN_PCM is the full name of the province.

OD_Matrix_daily_flows_norm_full_2020_01_18_2020_04_17.csv. The file contains the daily fraction of users’ moving between Italian provinces. Each line corresponds to an entry of matrix (i, j). The fields of the table are:

p1: COD_PROV of origin,

p2: COD_PROV of destination,

day: in the format yyyy-mm-dd.

median_q1_q3_rog_2020_01_18_2020_04_17.csv. The file contains median and interquartile range (IQR) of users’ radius of gyration in a province by week. Each entry of the table fields of the table are:

COD_PROV of the province;

SIGLA of the province;

DEN_PCM of the province;

week: median value of the radius of gyration on week week, with week in the format dd/mm-DD/MM where dd/mm and DD/MM are the first and the last day of the week, respectively.

week Q1 first quartile (Q1) of the distribution of the radius of gyration on week week,

week Q3 third quartile (Q3) of the distribution of the radius of gyration on week week,

average_network_degree_2020_01_18_2020_04_17.csv. The file contains daily time-series of the average degree 〈k〉 of the proximity network. Each entry of the table is a value of 〈k〉 on a given day. The fields of the table are:

COD_PROV of the province;

SIGLA of the province;

DEN_PCM of the province;

day in the format yyyy-mm-dd.

ESRI shapefiles of the Italian provinces updated to the most recent definition are available from the website of the Italian National Office of Statistics (ISTAT): https://www.istat.it/it/archivio/222527.

Data from SAFE (https://www.archer.ac.uk/safe) and Quarter 1 2016 Service Report from ARCHER Computational Science and Engineering Service. These contain data on usage and performance of the ARCHER CSE Service for Quarter 1 2016 (January - March 2015).

South Korean tech giant Naver's operating expenses amounted to around 2.28 trillion South Korean won in the first quarter of 2025. Expenses rose in line with increasing revenues from its search platform and commercial sector, in particular.