This statistic shows the average price of cellular data per gigabyte in the United States from 2018 to 2023. In 2018, the average price of cellular data was estimated to amount to 4.64 U.S. dollars per GB.

In January and February 2020, one gigabyte of mobile data cost on average *** yuan in China, plunging from ***** yuan in 2014. The average price for mobile data continued to decrease over the past years, resulting from the development of telecommunications infrastructure.

Smart phone price index (CPPI) by North American Product Classification System (NAPCS). The table includes annual data for the most recent reference period and the last four periods. Data are available from January 2015. The base period for the index is (2015=100).

In 2023, the average cost of one gigabyte of mobile internet in Sub-Saharan Africa amounted to **** U.S. dollars, one of the highest worldwide, according to the source. In Northern Africa, the price for mobile data was far lower, **** U.S. dollars on average. Overall, the cost of mobile data varied greatly across Africa. Zimbabwe had the most expensive mobile internet on the continent, while Malawi recorded the cheapest average price.

Le Conseil de la radiodiffusion et des télécommunications canadiennes recueille annuellement les tarifs des fournisseurs de services pour les services de communication résidentiels opérant au Canada. Le présent rapport expose les prix mensuels rapportés (prix) pour chacun des services d’Internet (6 ensembles de service) et mobiles (7 ensembles de service) dans 24 centres urbains et 55 collectivités rurales répartis dans toutes les provinces et tous les territoires du Canada, en date du 31 décembre 2022.

Italy is the country with the cheapest mobile data in Europe, with mobile customers paying an average of **** U.S. dollars per gigabyte of data as of February 2021. Among the selected European countries, Norway had the highest average price for mobile data, with **** U.S. dollars per gigabyte. This is, however, a significant decrease compared to 2019, when the average cost in Norway was ***** U.S. dollars.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Telephone Services in U.S. City Average (CUUR0000SEED) from Dec 1997 to Jun 2025 about urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Package of Communication Services data was reported at 328.190 RUB in Jan 2019. This records an increase from the previous number of 270.190 RUB for Dec 2018. Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Package of Communication Services data is updated monthly, averaging 287.120 RUB from Jan 2018 (Median) to Jan 2019, with 13 observations. The data reached an all-time high of 328.190 RUB in Jan 2019 and a record low of 270.190 RUB in Dec 2018. Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Package of Communication Services data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PA019: Average Consumer Price: Communication Services.

Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Local Calls Fee data was reported at 1.770 RUB/min in Jan 2019. This records an increase from the previous number of 1.580 RUB/min for Dec 2018. Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Local Calls Fee data is updated monthly, averaging 1.610 RUB/min from Jan 2004 (Median) to Jan 2019, with 181 observations. The data reached an all-time high of 5.080 RUB/min in Jan 2004 and a record low of 1.100 RUB/min in Feb 2016. Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Local Calls Fee data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PA019: Average Consumer Price: Communication Services.

Zimbabwe had the most expensive mobile internet in Africa as of 2023. One gigabyte cost on average ***** U.S. dollars in the African country, the highest worldwide. Overall, the cost of mobile data varied significantly across the continent. South Sudan and the Central African Republic also recorded elevated prices for mobile data, positioning among the ** countries with the highest prices for data globally. By contrast, one gigabyte cost **** U.S. dollars in Malawi, the lowest average price registered in Africa. Determinants for high pricing On average, one gigabyte of mobile internet in Sub-Saharan Africa amounted to **** U.S. dollars in 2023, one of the highest worldwide, according to the source. In Northern Africa, the price for mobile data was far lower, **** U.S. dollars on average. Few factors influence the elevated prices of mobile data in Africa, such as high taxation and the lack of infrastructure. In 2021, around **** percent of the population in Sub-Saharan Africa lived within a range of ** kilometers from fiber networks. Mobile connectivity Over *** million people are estimated to be connected to the mobile internet in Africa as of 2022. The coverage gap has decreased in the continent but remained the highest worldwide in 2022. That year, ** percent of the population in Sub-Saharan Africa lived in areas not covered by a mobile broadband network. Additionally, the adoption of mobile internet is not equitable, as it is more accessible to men than women as well as more spread in urban than rural areas.

In 2023, the lowest mobile internet price in Central and Eastern European countries was paid in Russia and Ukraine. Moldova ranked 15 in a list of 237 countries worldwide, from the cheapest to the most expensive for mobile data. The cost of 1GB amounted to 0.25 U.S. dollars. For comparison, Latvia has the most expensive mobile Internet in the CEE region - 3.21 U.S. dollars per one gigabyte.

Concept: Average cost of credit operations that make up the portfolio of loans, financing and leasing operations of financial institutions belonging to the National Financial System. It includes the totality of outstanding operations classified as current assets, regardless of the date of the credit lending. Source: Central Bank of Brazil � Statistics Department 27656-average-cost-of-outstanding-loans---nonearmarked---non-financial-corporations---guaranteed-ov 27656-average-cost-of-outstanding-loans---nonearmarked---non-financial-corporations---guaranteed-ov

This dataset computes the Benefit Cost Rate and Average Tax Rate based on total wages. UI benefits and contributions are divided by total wages in order to control for employment and wage growth. For example, the highest benefit payout was $772 million in 2009. However, 2009 was the third highest payout when controlled for wage growth. Both 1982 and 1983 had higher Benefit Cost Rates. The highest Benefit Cost Rate was 2.63% in 1982. The highest Average Tax Rate based on total wages was 1.89% in 1985. The lowest Benefit Cost Rate was 0.53% in 1998. The lowest Average Tax Rate based on total wages was 0.49% in 1988. Data excludes reimbursable employers. (Time period: 1980-2018).

The National Average Drug Acquisition Cost (NADAC) is designed to create a national benchmark that is reflective of the prices paid by retail community pharmacies to acquire prescription and over-the-counter covered outpatient drugs. This dataset shows this data.

1) Data Introduction • The Restaurant Dataset includes key restaurant-related attributes such as location, average cost, ratings, and the type of dish (target variable) provided with service information for various restaurants worldwide.

2) Data Utilization (1) Restaurant Dataset has characteristics that: • This dataset provides a variety of information, including the restaurant's name, location (country, city, address, latitude and longitude), average cost of meals, calls, table reservations and online delivery, price point, ratings, and vote counts. (2) Restaurant Dataset can be used to: • Cooking Classification Model Development: Using characteristics such as location, price, service, and rating of a restaurant, we can build a machine learning-based cooking type prediction model. • Establish location and marketing strategies: By analyzing regional popular dishes, ratings, and price point data, you can use them to select new restaurant locations and establish customized marketing strategies.

Russia Avg Consumer Price: Communication Means: Smart Phone data was reported at 8,773.320 RUB in Jan 2019. This records an increase from the previous number of 8,647.090 RUB for Dec 2018. Russia Avg Consumer Price: Communication Means: Smart Phone data is updated monthly, averaging 8,992.760 RUB from Jan 2014 (Median) to Jan 2019, with 61 observations. The data reached an all-time high of 9,513.340 RUB in Mar 2016 and a record low of 8,173.890 RUB in Oct 2014. Russia Avg Consumer Price: Communication Means: Smart Phone data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PA011: Average Consumer Price: Computers, Tele and Radio Merchandise, Communication Means.

At BatchData, we specialize in providing advanced data solutions designed to enhance your business operations. Our Contact Enrichment data offers crucial insights that can transform how you engage with property owners. By uncovering detailed owner information, including contact details (email address data + phone number data) and reachability metrics, you can more effectively target your outreach efforts, tailor your offers, and improve your overall engagement strategies.

Our suite of industry-leading products is built on six years of expertise and rigorous testing of over 50 data providers. With continuous updates and feedback from our 20,000+ users, we ensure that our data remains accurate and actionable -- all the email address data and phone number data you need!

Contact Enrichment Data with access to 12+ data points including: - Owner: Total properties owned, average price, years built, and acquisition dates. - Contact Information: One or multiple 10-digit phone numbers and email addresses. - Reachability: DNC status, known litigators, reachability score, and carrier information.

Common Use Cases: - Investors, Agents & Brokers: Connect with homeowners who might be interested in selling and craft personalized offers. - Home Improvement Services: Target homeowners for services such as remodeling, landscaping, roofing, and painting. - Insurance Companies: Offer insurance policies to homeowners with high-value properties or recent purchases.

This dataset is accessed from https://www.kaggle.com/jessemostipak/college-tuition-diversity-and-pay and was downloaded on August 4, 2021.

The following excerpt is from Kaggle regarding the sources of this dataset:

The data this week comes from many different sources but originally came from the US Department of Education.

Tuition and fees by college/university for 2018-2019, along with school type, degree length, state, in-state vs out-of-state from the Chronicle of Higher Education. Diversity by college/university for 2014, along with school type, degree length, state, in-state vs out-of-state from the Chronicle of Higher Education. Example diversity graphics from Priceonomics. Average net cost by income bracket from TuitionTracker.org. Example price trend and graduation rates from TuitionTracker.org Salary potential data comes from payscale.com.

This dataset included the following files:

1. diversity_school.csv

2. historical_tuition.csv

3. salary_potential.csv

4. tuition_cost.csv

5. tuition_income.csv

After data cleaning, the data in diversity_school.csv and tuition_cost.csv were merged and the data in salary_potential.csv and tuition_income.csv were merged. The combined datasets were then split based on the US Census Regions into West, Midwest, Northeast and South (https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf).

China Mobile phone: Taobao Online Sales: MoM: Product Average Price data was reported at 7.510 % in Aug 2020. This records a decrease from the previous number of 34.820 % for Jul 2020. China Mobile phone: Taobao Online Sales: MoM: Product Average Price data is updated monthly, averaging 3.690 % from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 34.820 % in Jul 2020 and a record low of -35.510 % in Jun 2020. China Mobile phone: Taobao Online Sales: MoM: Product Average Price data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: MoM: Computer and Digital Product.

Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Outgoing Message data was reported at 1.860 RUB in Jan 2019. This records an increase from the previous number of 1.760 RUB for Dec 2018. Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Outgoing Message data is updated monthly, averaging 1.300 RUB from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 1.860 RUB in Jan 2019 and a record low of 1.170 RUB in Feb 2012. Russia Avg Consumer Price: Communication: Wireless: Mobile Phones: Outgoing Message data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PA019: Average Consumer Price: Communication Services.