Compare country statistics and get a global overview for Cocaine Retail Prices.

Between 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.

Between 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.

This 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.

In 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.

This 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.

As 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.

Description Historical wholesale & retail prices for the USA and Western Europe

Original Visualization

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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

In 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.

This 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.

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

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.

Commodity Cocaine Index: The Market's Pulse?

Financial data:

• 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)

Machine learning features:

• 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)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• 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

Additional Notes:

• 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

The 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.

This dataset contains the predicted prices of the asset Cocaine Coin 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.

As of the 2023, the illicit drug in Italy with the highest average price was cocaine, at roughly 83.5 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 14,132 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 31.7 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 30 percent of the students using it at least once in the given year.

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 100 statistical tables in this dataset. Each data table may be viewed as an HTML table or downloaded in spreadsheet (Excel format).

Cocaine had the highest average price per gram among illicit drugs in Sweden in 2017. The average minimum price of cocaine during that year was 2.11 euros per gram, and the average maximum price was 350 euros per gram.

The global market for cocaine intoxication treatment is experiencing steady growth, projected to reach a value of $10 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 5.7% from 2025 to 2033. This growth is driven by several factors. Rising rates of cocaine addiction globally, fueled by increased accessibility and societal factors, are creating a significant and persistent demand for effective treatment options. Advances in pharmacological interventions, including the development of novel medications targeting the specific neurochemical pathways affected by cocaine, are contributing to improved treatment efficacy and outcomes. Furthermore, increasing awareness of the devastating consequences of cocaine addiction and a growing emphasis on public health initiatives are leading to greater investment in treatment programs and better access to care. However, the market faces challenges such as the high relapse rates associated with cocaine addiction, the need for comprehensive and long-term treatment strategies, and the stigma surrounding substance abuse disorders that can hinder individuals from seeking help. The market is segmented by application (hospital, clinic, home) and geographically, with North America and Europe currently representing significant shares, driven by robust healthcare infrastructure and higher rates of cocaine use in these regions. Leading pharmaceutical companies like Tonix Pharmaceutical, GlaxoSmithKline, Bristol Myers Squibb, Pfizer, and others are actively involved in research and development efforts to address this growing market need. The continued expansion of the cocaine intoxication treatment market is expected to be influenced by several key trends. Increased investment in research and development of novel therapeutics will lead to more effective and targeted treatment options. A growing emphasis on personalized medicine approaches promises to tailor treatment strategies to individual patient needs, potentially leading to improved outcomes. The integration of telehealth and digital health technologies is expanding access to care, especially in underserved areas. Moreover, governments and healthcare organizations are implementing comprehensive public health strategies addressing the root causes of cocaine addiction through prevention programs and community-based interventions. The effectiveness of these initiatives will significantly impact the market trajectory in the coming years, alongside the ongoing efforts to combat the illicit cocaine trade, which directly influences the prevalence of addiction.

In 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.

Abbreviations: SI, NIDA's Standard Intervention; WWE, SI plus Well Woman Exam; 4ES, SI, WWE plus four educational sessions; ICER, incremental cost effectiveness ratio, which is the difference in cost divided by the difference in effectiveness as compared with the next least costly intervention, and indicates cost per additional outcome achieved; BL, baseline; D, dominated, which indicates that the intervention is more costly and less effective than the alternative; ED, extended dominated, which indicates that the next alternative is more costly, more effective and has a better ICER.aCosts from Ruger et al., 2010. Due to rounding, calculations may not exactly reflect data from Table 2. ICERs did not need to be adjusted because the intervention has a sufficiently long follow up time period.bPositive number indicates incremental improvement. Each value is the difference of the differences from Table 2.cNumber of occasions used cocaine, past 30 days (number of days used * times per day).dNumber of episodes used cocaine per day, past 30 days.eNumber of cocaine free days, past 30 days.fProportion of participants abstaining from cocaine, past 30 days.gProportion of participants abstaining from cocaine, past 4 months.hPast 30 days.iPer day, past 30 days.