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Compare country statistics and get a global overview for Cocaine Retail Prices.
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TwitterBetween 2012 and 2023, the price of a gram of cocaine varied between ** and ** euros. The peak was reached in 2016. Since 2016, the price has dropped significantly to ** euros in 2023.
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TwitterAcross the analyzed European countries, the street prices of cocaine presented a wide variety in 2022, ranging from roughly ** to almost 100 euros per gram. Portugal had the lowest average street price, with ***** euros per gram. Meanwhile, Slovakia was the country with the highest price, with one gram of cocaine being sold for ***** euros. Consumption of cocaine in Europe As of 2023, around three percent of the population in the Netherlands has used cocaine within the past 12 months, more than any other country in Europe. This was followed by *** and *** percent of the inhabitants in Spain and Ireland, respectively. Cocaine users in treatment In 2022, Spain had the highest number of individuals who entered treatment for cocaine addiction in Europe, at over **** thousand patients. It was followed by Italy and France, with **** and *** thousand individuals entering treatment, respectively. Sniffing was the main route of administration for over *** thirds of the individuals entering treatment for cocaine use across Europe.
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TwitterThis statistic shows the average street price per gram of cocaine sold in selected Latin American countries in 2016, measured in U.S. dollars. In that year, Cuba registered the highest selling price of cocaine in Latin America, averaging at 56.7 U.S. dollars per gram. The lowest average street price of cocaine was found in Colombia and Bolivia, with 3.5 U.S. dollars per gram.
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TwitterBetween 2008 and 2022, cocaine prices in the Netherlands remained stable at around ** euros per gram. The price of cocaine peaked in 2012 and again in 2014, at ** euros, before decreasing again slightly. In 2023, a gram of cocaine in the Netherlands sold for ** euros. This was significantly higher than the price of amphetamine, which on average cost around ***** euros per gram that year. Cocaine use on the rise Cocaine use, although still relatively low compared to other drugs such as cannabis or ecstasy, is on the rise. The Trimbos Institute’s survey on drug use among adults has been running since 1997, and the share of respondents stating to have used cocaine at least once in their lives as of 2022 was *** percent. In 2022, *** percent of all respondents answered to have used cocaine in the last month. Who are the cocaine users? Cocaine use in the Netherlands was most common among 20-29 year olds. The most recent survey found that of 20-24 year olds, *** percent had used cocaine in the past year. Among the 25-29 year olds, this was even higher, at *** percent.
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TwitterIn 2022, the average price of cocaine in Colombia reached ***** Colombian pesos per kilogram. Meanwhile, cocaine paste was marketed at around ***** pesos per kilogram in 2022.
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TwitterThis dataset contains the predicted prices of the asset COCAINE over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.
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TwitterIn 2021, the average price of fresh cocaine leaves in the Amazonia region was ***** Colombian pesos per kilogram, the highest among the different regions in Colombia. For cocaine hydrochloride, the region with the highest price was Orinoquia, while the Sierra Nevada had the lowest with **** million pesos per kilogram. That year, the land area used for the illicit cultivation of coca in Colombia reached *** thousand hectares.
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TwitterDescription Historical wholesale & retail prices for the USA and Western Europe
Original Visualization
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2003977%2F1e9fc172461249bd2fc15e5c7bb71653%2F3b20bc94a1014598530cf57b2b892fa51bdfdb0c5875e643292fbef628db2e8c_CleanShot_2022_11_08_at_2.47.10_2x.png?generation=1693203803688328&alt=media" alt="">
References
The Economist: How much does cocaine cost around the world? Data Source: "https://dataunodc.un.org/dp-drug-prices-Europe-USA">UNODC Price time series for cocaine and heroin, Western Europe and the United States
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TwitterThis dataset contains the predicted prices of the asset Cocaine Bear over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.
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TwitterThe objective of this research was to estimate the elasticity of the demand for cocaine and heroin with respect to the price. Price elasticity is the percentage of change in the dependent quantity corresponding to a one-percent change in price. The project involved the development of an econometric model to determine price elasticity, given that national- and city-level data on the consumption of cocaine and heroin are insufficient or nonexistent. The researchers circumvented this lack of data by partitioning the desired elasticity into the product of two elasticities, involving a measurable intermediate quantity whose relationship to the quantity of consumption could be modeled and estimated by measurable techniques. The intermediate quantity used for this project was the fraction of arrestees testing positive for cocaine or heroin as measured by the Drug Use Forecasting (DUF) System. From the Drug Enforcement Administration's (DEA's) System to Retrieve Information from Drug Evidence (STRIDE) data, expected purity was computed by regressing on log quantity and dummy variables for location and quarter. Price series were produced by finding the median standardized price per expected pure gram for each location and quarter. Variables for Part 1, National Data, include year, quarter, standardized prices for a gram of cocaine and a gram of heroin, and expected purity of cocaine and heroin. The Cities Data, Part 2, cover city, year, quarter, number of observations used to compute the median price of cocaine and heroin, standardized prices, and expected purity.
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TwitterAs of September 2023, a kilo of cocaine hydrochloride in Colombia oscillated between *** and *** million Colombian pesos. This was more than ***** and ***** U.S. dollars at that time. This is the final product of the cocaine manufacture.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Curves represent (A) choice between cocaine and water sweetened with saccharin and (B) percent of completed trials as a function of the relative cost of saccharin. The cost of saccharin was gradually increased either between sessions (open circles) or within sessions (closed circles). In the former case, each cost level was tested at least 5 times consecutively until stabilization of behavior. Data points represent the means (± s.e.m.) of the last 3 stable testing sessions. For other details, see Materials and Methods, and legend of Figure 3. *, different from the indifference level (P
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TwitterIn 2022, cocaine in the Philippines was sold at **** U.S. dollars per gram, indicating a decrease from the previous year. The retail price of cocaine or coke peak in 2019 and 2020 at *** U.S. dollars.
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Twitterhttps://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
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Twitterhttps://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
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Twitterhttp://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj
Street prices of cannabis, heroin, cocaine and amphetamine are provided in euros per gram, of LSD in euros per unit/dose, and of ecstasy in euros per tablet. Data on prices come from a range of different sources, the comparability of which is not always known. Data on the potency of cannabis products and the purity of heroin (white and brown), cocaine products (cocaine and crack) and amphetamine are presented here. In addition, data on the MDMA content (weight in ecstasy tablets) is provided.
There are over 300 statistical tables in this dataset. Each data table may be viewed as an HTML table or downloaded in spreadsheet (Excel format).
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TwitterThis dataset contains the predicted prices of the asset COCA over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.
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TwitterAs of the 2023, the illicit drug in Italy with the highest average price was cocaine, at roughly **** euros per gram, followed by white heroin and brown heroin. The price of drugs varies across countries, for example street price of cocaine in Europe was the highest in Slovakia with almost 100 euros per gram. Cocaine addiction In 2022 alone, there were ****** individuals who entered treatment for cocaine addiction in Italy. This number was the second highest among all European countries after Spain. As of that year, there were in total **** thousand people being treated for cocaine addiction in public facilities in Italy, with the highest number belonging to the age group between 40 and 44 years. Cannabis use Cannabis was the most consumed type of illicit drug in Italy, with more than eight percent of the population having consumed it at least once in 2022. This substance was the most popular among students, with nearly ** percent of the students using it at least once in the given year.
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TwitterAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Compare country statistics and get a global overview for Cocaine Retail Prices.