This dataset provides information on the individuals killed during the Israeli-Palestinian conflict since the second intifada, which began in September 2000. The data has been meticulously collected and investigated by B’Tselem – The Israeli Information Center for Human Rights in the Occupied Territories.

The dataset includes statistics on all human beings – Palestinians, Israelis, and foreign nationals – who lost their lives during this conflict. It provides details such as name, age, citizenship, date of death, gender, participation in hostilities, place of residence, type of injury, ammunition used, and more.

Some Task Ideas:

1. Analyze Fatality Trends: Explore the dataset and track the trends in fatalities over time. Identify any significant changes, spikes, or declines in the number of fatalities.
2. Demographic Analysis: Conduct a demographic analysis by examining the age, gender, and citizenship of the individuals killed. Determine if there are any notable patterns or disparities in the data.
3. Geospatial Analysis: Utilize the event location, district, and region information to perform geospatial analysis. Visualize the distribution of fatalities on a map and identify areas that have experienced higher levels of violence.
4. Hostilities Participation Analysis: Investigate the extent of individuals' participation in hostilities before their deaths. Analyze the relationship between participation and the circumstances surrounding each fatality.
5. Injury Analysis: Examine the types of injuries inflicted on individuals. Identify the most common types of injuries and assess their severity.
6. Weapons Used: Analyze the ammunition and means by which the individuals were killed. Determine the most frequently used weapons or methods and evaluate their impact.
7. Victim Profiles: Create profiles of the victims based on the available data such as age, gender, citizenship, and place of residence. Identify common characteristics among the victims.

Please note that the dataset contains sensitive information and focuses on the humanitarian aspect rather than taking any political stance.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

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Photo by Levi Meir Clancy on Unsplash

Since the terrorist organization Hamas launched its attacks on Israeli soil on October 7, 2023, around 1,200 Israelis died, and 5,431 were injured. Through retaliation attacks by the Israeli armed forces against Hamas in Gaza, 61,158 Palestinians were killed, and 151,442 were injured. As of August 2025, the number of Palestinian deaths in the West Bank was 955, due to the on going conflict. Information on the data situation Data on the number of fatalities and injuries are based on the UNOCHA (United Nations Office for the Coordination of Humanitarian Affairs) reporting by both parties to the conflict. The respective data sources were named for the purpose of transparency. It must be stated that in the case of wars and other conflicts, objective data collection is almost impossible, and reports are based on estimates. At the same time, it needs to be noted that some parties to the conflict may use numbers and data selectively for their own agenda. Hamas attacks on Israel on October 7th, 2023 Before October 2023, there had been four wars between Israel and Hamas. The current conflict is already the deadliest, and the death toll is certain to rise. The new escalation of violence in the Middle East started after the militant Palestinian group Hamas attacked Israel in the early hours of October 7, 2023. An estimated 2,200 rockets were fired by Hamas from Gaza toward Israeli targets, hitting civilian buildings and military facilities. Hamas fighters entered the Israeli territory, killing around 1,200 of Israeli citizens. In the weeks that followed, the Israeli military conducted an aerial bombardment and launched a ground offensive in Gaza. Humanitarian pauses allowed aid to get into Gaza, but fighting has continued since a weeklong cease-fire ended on December 1, 2023. Operation Iron Swords and the humanitarian situation of Gaza Initially, Israel reacted to the Hamas attacks with further isolation of the Gaza Strip, cutting off the supply of electricity, fuel, and drinking water. As of November 6, 2023, water supply to parts of the Gaza Strip has been resumed. The Israeli Defense Forces (IDF) summoned the Palestinians to evacuate the northern part of the Gaza Strip towards the south of Gaza in the direction of the Egyptian border. This affects around 1.93 million people out of the 2.06 million inhabitants of Gaza. According to the UN, over one million people are internally displaced inside the Gaza Strip. Some trucks with relief supplies could infrequently enter the territory via the Rafah border from Egypt. This Israeli military operation is one of the longest-lasting in Gaza, and over 6,000 bombs were already dropped by the IDF.

Some Task Ideas:

Analyze Fatality Trends: Explore the dataset and track the trends in fatalities over time. Identify any significant changes, spikes, or declines in the number of fatalities. Demographic Analysis:Conduct a demographic analysis by examining the age, gender, and citizenship of the individuals killed. Determine if there are any notable patterns or disparities in the data. Geospatial Analysis: Utilize the event location, district, and region information to perform geospatial analysis. Visualize the distribution of fatalities on a map and identify areas that have experienced higher levels of violence. Hostilities Participation Analysis:Investigate the extent of individuals' participation in hostilities before their deaths. Analyze the relationship between participation and the circumstances surrounding each fatality. Injury Analysis: Examine the types of injuries inflicted on individuals. Identify the most common types of injuries and assess their severity. Weapons Used: Analyze the ammunition and means by which the individuals were killed. Determine the most frequently used weapons or methods and evaluate their impact. Victim Profiles: Create profiles of the victims based on the available data such as age, gender, citizenship, and place of residence. Identify common characteristics among the victims.

According to a survey from July 2023, **** percent of Palestinians from Gaza strongly agreed that Hamas should stop calling for the destruction of Israel and instead accept the two-state solution based on the borders of 1967. In comparison, **** percent of respondents from the Gaza Strip strongly disagreed.

On October 7 2023, Palestinian militant group Hamas led an invasion into Israel via the Gaza Strip, marking the first time direct contact was made on Israeli territory since the First Arab-Israeli War in 1948 and 1949. Following attacks on bordering communities and Israeli military bases, Israeli Prime Minister Benjamin Netanyahu formally declared war and issued counter-offensive strikes.

As one of Israel's allies, many have begun debating the role of the United States. In an October survey, more than half of Americans believed the U.S. government in favor of the Israeli side of the Israeli-Palestinian conflict.

This dataset contains tweets related to the Israel-Palestine conflict from October 17, 2023, to December 17, 2023. It includes information on tweet IDs, links, text, date, likes, and comments, categorized into different ranges of like counts.

Dataset Details

• Date Range: October 17, 2023 - December 17, 2023
• Total Tweets: 15,478
• Unique Tweets: 14,854

Data Description

The dataset consists of the following columns:

How to Process the Data

To process the dataset, you can use the following Python code. This code reads the CSV file, cleans the tweets, tokenizes and lemmatizes the text, and filters out non-English tweets.

Required Libraries

Make sure you have the following libraries installed:

pip install pandas nltk langdetect

Data Processing Code

Here’s the code to process the tweets:

import pandas as pd
import re
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from langdetect import detect, LangDetectException
# Define the TweetProcessor class
class TweetProcessor:
  def _init_(self, file_path):
    """
    Initialize the object with the path to the CSV file.
    """
    self.df = pd.read_csv(file_path)
    # Convert 'text' column to string type
    self.df['text'] = self.df['text'].astype(str)
  def clean_tweet(self, tweet):
    """
    Clean a tweet by removing links, special characters, and extra spaces.
    """
    # Remove links
    tweet = re.sub(r'https\S+', '', tweet, flags=re.MULTILINE)
    # Remove special characters and numbers
    tweet = re.sub(r'\W', ' ', tweet)
    # Replace multiple spaces with a single space
    tweet = re.sub(r'\s+', ' ', tweet)
    # Remove leading and trailing spaces
    tweet = tweet.strip()
    return tweet
  def tokenize_and_lemmatize(self, tweet):
    """
    Tokenize and lemmatize a tweet by converting to lowercase, removing stopwords, and lemmatizing.
    """
    # Tokenize the text
    tokens = word_tokenize(tweet)
    # Remove punctuation and numbers, and convert to lowercase
    tokens = [word.lower() for word in tokens if word.isalpha()]
    # Remove stopwords
    stop_words = set(stopwords.words('english'))
    tokens = [word for word in tokens if word not in stop_words]
    # Lemmatize the tokens
    lemmatizer = WordNetLemmatizer()
    tokens = [lemmatizer.lemmatize(word) for word in tokens]
    # Join tokens back into a single string
    return ' '.join(tokens)
  def process_tweets(self):
    """
    Apply cleaning and lemmatization functions to the tweets in the DataFrame.
    """
    def lang(x):
      try:
        return detect(x) == 'en'
      except LangDetectException:
        return False
    # Filter tweets for English language
    self.df = self.df[self.df['text'].apply(lang)]
    # Apply cleaning function
    self.df['cleaned_text'] = self.df['text'].apply(self.clean_tweet)
    # Apply tokenization and lemmatization function
    self.df['tokenized_and_lemmatized'] = self.df['cleaned_text'].apply(self.tokenize_and_lemmatize)

Feel free to add or modify any details according to your specific requirements!

Let me know if there’s anything else you’d like to adjust or add!

Usage

This dataset can be used for various research purposes, including sentiment analysis, trend analysis, and event impact studies related to the Israel-Palestine conflict. For questions or feedback, please contact:

• Name: Mehyar Mlaweh
• Email: mehyarmlaweh0@gmail.com

Trade is a crucial instrument for combating poverty and advancing the Millennium Development Goals, particularly by improving access to international markets for developing countries and fostering a transparent, rules-based, and predictable trading system. To support these goals, the World Bank, in collaboration with international development partners, initiated the Transparency in Trade (TiT) Initiative. This initiative aims to provide free and easily accessible data on trade policies specific to individual countries, allowing policymakers, researchers, and businesses to make informed decisions. Such transparency in trade policy is vital for creating equitable market conditions and ensuring that developing nations can participate in global trade more effectively, thereby contributing to their economic growth and poverty alleviation.

Israel, like many countries, is an active participant in this initiative, which provides a comprehensive understanding of its trade dynamics. The availability of trade-related data from the World Bank’s portal ensures that the nation’s trading policies are part of the broader international effort to make trade more accessible, especially for countries striving to improve their economic standing through global trade.

In contrast to the global trade discussions, the situation in the State of Palestine highlights a different form of crisis—one that pertains to internal displacements caused by conflict and disaster. Conflict and disaster-induced population movements, or "flows," for the State of Palestine are monitored closely due to the region's instability and the ongoing conflict. The most recent data available covers a 180-day period and provides insights into the scale and frequency of these displacements.

Internally displaced persons (IDPs) are defined based on the 1998 Guiding Principles, which describe them as individuals or groups forced to flee or leave their homes due to various causes, including armed conflict, generalized violence, violations of human rights, or natural and human-made disasters. These people remain within their country’s borders, distinguishing them from refugees who cross international boundaries.

The Internal Displacement Monitoring Centre (IDMC) offers event-based data through its Internal Displacement Updates (IDU), which provide initial assessments of internal displacements occurring within the last 180 days. This data is provisional and subject to continuous updates as new information becomes available. The IDU dataset reflects displacement trends from conflicts or disasters and aggregates preliminary estimates from various sources. As more accurate data is compiled and validated, it is made available through the Global Internal Displacement Database (GIDD), which offers a carefully curated and finalized understanding of displacement patterns. This continuous monitoring is essential for understanding the immediate needs of displaced populations and for forming long-term strategies to address internal displacement, particularly in conflict-affected regions like Palestine, where displacements are frequent and complex.

State of Palestine (West Bank and Gaza) Average Daily Wage: Gaza Strip: Israel & Settlements data was reported at 122.200 ILS in 2004. This records an increase from the previous number of 106.600 ILS for 2003. State of Palestine (West Bank and Gaza) Average Daily Wage: Gaza Strip: Israel & Settlements data is updated yearly, averaging 106.600 ILS from Dec 2000 (Median) to 2004, with 5 observations. The data reached an all-time high of 122.200 ILS in 2004 and a record low of 63.200 ILS in 2001. State of Palestine (West Bank and Gaza) Average Daily Wage: Gaza Strip: Israel & Settlements data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G011: Average Daily Wage: by Sector.

The number of fatalities amongst the Palestinian population in the West Bank and Gaza between 2008 and September 2023 stood at ***** and the number of injured people was *******. While the majority of fatalities amongst the Palestinians were in the Gaza Strip, more than half of the injured were based in the West Bank. Hamas attacks on Israel on October 7, 2023 The radical Islamic Palestinian terror organization Hamas attacked Israel in the early hours of October 7, 2023, on Sabbath - the Jewish day of rest. This strategic attack from Gaza was directed towards Israeli civilians and armed forces. An estimated ***** rockets were fired by Hamas from Gaza toward Israeli targets, hitting civilian buildings and military facilities. Hamas fighters entered the Israeli territory, killing around ***** of Israeli citizens. In the weeks that followed, the Israeli military conducted an aerial bombardment and launched a ground offensive in Gaza. Humanitarian pauses allowed aid to get into Gaza, but fighting has continued since a weeklong cease-fire ended on December 1, 2023. The attacks resulted in a massive escalation of the Middle Eastern conflict, which pushed a political solution further away. The number of civilian casualties in Gaza and Israel is rising each day the conflict continues. Before October 2023, there had been four wars between Israel and Hamas. The current conflict is already the deadliest, and the death toll is certain to rise.

The dataset was collected by scraping tweets from the X platform over a period spanning nearly one year, from October 10, 2023, to September 16, 2024. This timeframe was segmented into several sub-periods corresponding to key events related to the Israeli-Palestinian conflict—moments likely to provoke heightened public engagement and opinion sharing. Tweets were scraped using the hashtags #Gaza, #Israel, and #ceasefire. These hashtags were chosen to capture a broad spectrum of opinions, including support for Gaza’s actions, defense of Israel’s military operations, neutral perspectives, and calls for peace. 9,262 tweets (i.e., raw data) were collected across this period. The goal was to analyze how English-speaking users expressed their views on the Israeli-Palestinian conflict following the outbreak of the war on October 7, 2023. Raw data were then pre-processed to generate three files: the first one containing 7387 tweets, which can be used as input for BERT classifiers; the second file with 7323 tweets, which can be used as input for ML-based algorithms; and finally an augmented data set with 14,227 tweets constructed based on the first file, to be used also with BERT models. In all these files, 6 classes are manually labelled: neutral, pro-Palestine and pro-Hamas, out of scope, against Hamas, no clear position, and pro-Israel

Palestine Imports from Israel was US$4.44 Billion during 2023, according to the United Nations COMTRADE database on international trade. Palestine Imports from Israel - data, historical chart and statistics - was last updated on December of 2025.

Financial overview and grant giving statistics of Justice For Palestine Israel Inc

Palestine Exports to Israel was US$1.28 Billion during 2023, according to the United Nations COMTRADE database on international trade. Palestine Exports to Israel - data, historical chart and statistics - was last updated on December of 2025.

State of Palestine (West Bank and Gaza) Exports: Israel data was reported at 878,617.489 USD th in 2017. This records an increase from the previous number of 770,811.892 USD th for 2016. State of Palestine (West Bank and Gaza) Exports: Israel data is updated yearly, averaging 417,504.673 USD th from Dec 1995 (Median) to 2017, with 22 observations. The data reached an all-time high of 878,617.489 USD th in 2017 and a record low of 216,326.000 USD th in 2002. State of Palestine (West Bank and Gaza) Exports: Israel data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.JA004: Exports: by Country.

The Israel-Palestine conflict has been a highly discussed and sensitive topic in recent times.

This dataset contains comments from Reddit posts related to the current situation in Israel and Gaza.

By analyzing these comments, you can gain insights into the biases and affiliations of the commenters, as well as their support for different parties involved.

This dataset is updated daily, providing a comprehensive and up-to-date view of the sentiments expressed on Reddit regarding this conflict.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

Interesting Task Ideas:

1. Perform sentiment analysis to determine the overall sentiment of the comments towards Israel and Palestine.
2. Identify the most biased subreddits and understand their stance on the conflict.
3. Analyze the comment scores to uncover trends and popular opinions.
4. Explore temporal patterns to understand how sentiments evolved over time.
5. Determine the most commonly used keywords and phrases in the comments.
6. Investigate the relationship between subreddit affiliations and the sentiments expressed.
7. Identify the most common emotions found in the comments.
8. Analyze the most popular posting hours to determine the location of the authors
9. Investigate the response of users to the sentiment of the comment by analyzing the scores for different comment sentiments

2023-11-19 Update

• Since a few kagglers asked to add more data points to this dataset, i've created a new csv called "reddit_opinion_PSE_ISR.csv".

This csv has data about the comment, the author of the comment, and the post the comment was posted on.

• This is a denormalized dataset. You can normalize the dataset by splitting posts, comments, and user data into 3 seperate tables/dataframes.
• Old dataset csv can be found inside the legacy folder. Old csv won't be updated daily
• On the new version, there are no duplicate comment ids, but there will be duplicate posts (post ids) since a post can have many comments, and authors (author names) since a single user can leave many comments.

Palestine Imports from Israel of Iron and steel was US$58.2 Million during 2023, according to the United Nations COMTRADE database on international trade. Palestine Imports from Israel of Iron and steel - data, historical chart and statistics - was last updated on November of 2025.

Israeli settlement expansion in the West Bank has intensified violence in the occupied Palestinian territories (oPt). This violence escalated after attacks by Hamas on Israel on 7 October 2023 and the subsequent military campaign in Gaza. This study examines the possible impacts of military and land occupation on displacement, injuries, and deaths in the West Bank. This cross-sectional observational study analyses casualties and displacement data in the West Bank and Israel from May 1, 2014, to June 30, 2024. Sources include the United Nations Office of Coordination of Humanitarian Affairs, Statista, and the Palestinian Central Bureau of Statistics. Death and injury rates per 100,000 person-years were calculated and compared across populations. Interrupted time-series analysis compared observed Palestinian deaths, injuries, and displacement to expected levels since October 2023. Chi-square analysis examined demolition patterns by West Bank area. GIS mapping methods visualized spati..., , , # Occupation, violence, and displacement in the West Bank

https://doi.org/10.5061/dryad.fxpnvx147

Description of the data and file structure

The data was collected to explore the effects of the Israeli occupation on Palestinians. To that end, we have collected casualty and demolition data from the UNOCHA dataset; this data was originally extracted on July 15, 2024. These data document conflict-related incidents resulting in casualties, demolitions, and related metrics in the West Bank and Israel.

Casualty data was extracted from the “OCHA data on casualties†website, which provided information on dates, locations, type of incident, perpetrators, weapons used, victims, and outcomes of violent events specifically between Israelis and Palestinians.

As per UNOCHA, for an incident to be entered into the database, it must be validated by at least two independent and reliable sources. Incidents resulting in Israeli injuries are an exceptio...,

This statistic shows the results of a survey conducted across the United States in July 2014. Respondents were asked if they consider the Israeli actions in the current conflict with the Palestinian group Hamas justified or not. In July 2014, 42 percent of respondents said that the Israeli actions with Hamas in recent days are mostly justified.

State of Palestine (West Bank and Gaza) Employment: West Bank: Israel & Settlements data was reported at 118,100.000 Person in Dec 2017. This records a decrease from the previous number of 120,600.000 Person for Sep 2017. State of Palestine (West Bank and Gaza) Employment: West Bank: Israel & Settlements data is updated quarterly, averaging 120,600.000 Person from Mar 2017 (Median) to Dec 2017, with 4 observations. The data reached an all-time high of 131,300.000 Person in Mar 2017 and a record low of 118,100.000 Person in Dec 2017. State of Palestine (West Bank and Gaza) Employment: West Bank: Israel & Settlements data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G007: Employment: by Industry.

Jews were the dominant religious group in the Israel-Palestine region at the beginning of the first millennia CE, and are the dominant religious group there today, however, there was a period of almost 2,000 years where most of the world's Jews were displaced from their spiritual homeland. Antiquity to the 20th century Jewish hegemony in the region began changing after a series of revolts against Roman rule led to mass expulsions and emigration. Roman control saw severe persecution of Jewish and Christian populations, but this changed when the Byzantine Empire adopted Christianity as its official religion in the 4th century. Christianity then dominated until the 7th century, when the Rashidun Caliphate (the first to succeed Muhammad) took control of the Levant. Control of region split between Christians and Muslims intermittently between the 11th and 13th centuries during the Crusades, although the population remained overwhelmingly Muslim. Zionism until today Through the Paris Peace Conference, the British took control of Palestine in 1920. The Jewish population began growing through the Zionist Movement after the 1880s, which sought to establish a Jewish state in Palestine. Rising anti-Semitism in Europe accelerated this in the interwar period, and in the aftermath of the Holocaust, many European Jews chose to leave the continent. The United Nations tried facilitating the foundation of separate Jewish and Arab states, yet neither side was willing to concede territory, leading to a civil war and a joint invasion from seven Arab states. Yet the Jews maintained control of their territory and took large parts of the proposed Arab territory, forming the Jewish-majority state of Israel in 1948, and acheiving a ceasefire the following year. Over 750,000 Palestinians were displaced as a result of this conflict, while most Jews from the Arab eventually fled to Israel. Since this time, Israel has become one of the richest and advanced countries in the world, however, Palestine has been under Israeli military occupation since the 1960s and there are large disparities in living standards between the two regions.