This statistic shows the diversity in friend groups in Poland in 2018. According to data published by Ipsos, 70 percent of respondents stated that more than half of their friends have the same ethnicity as them and more than 55 percent responded that the majority of their friends share the same religion or beliefs.

Pay diversity and pay openness, as well as greater employer openness to diversity, are the leading measures that employees in Poland say could improve diversity in their organizations in 2024.

This dataset tracks annual diversity score from 1991 to 2023 for Poland Seminary High School vs. Ohio and Poland Local School District

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Poland. The dataset can be utilized to gain insights into gender-based income distribution within the Poland population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Poland, among individuals aged 15 years and older with income, there were 932 men and 945 women in the workforce. Among them, 486 men were engaged in full-time, year-round employment, while 320 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.26% fell within the income range of under $24,999, while 5.31% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 29.84% of men in full-time roles earned incomes exceeding $100,000, while 22.50% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Poland median household income by race. You can refer the same here

Every second organization in Poland has implemented a policy against discrimination in gender identity and sexual orientation and implemented training in this area for employees in 2024.

This dataset tracks annual diversity score from 2004 to 2023 for Poland Elementary School vs. New York and Poland Central School District

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Poland town. The dataset can be utilized to gain insights into gender-based income distribution within the Poland town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Poland town, among individuals aged 15 years and older with income, there were 2,196 men and 2,364 women in the workforce. Among them, 1,112 men were engaged in full-time, year-round employment, while 1,115 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.05% fell within the income range of under $24,999, while 3.68% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 21.67% of men in full-time roles earned incomes exceeding $100,000, while 19.28% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Poland town median household income by race. You can refer the same here

The files in this folder reproduce all the tables and figures included in the following article (and the related online appendix): Volha Charnysh. (Forthcoming). "Diversity, Institutions, and Economic Outcomes: Post-WWII Displacement in Poland" American Political Science Review (2019-01-03)

The author’s aim is to identify changes in the rate, intensity and direction of hotel development, as well as their number, type and capacity of in Poland, by category and province in 1990-2015. The objective is to define the influence of both tourism attractiveness and economic development factors (GNP, total capital expenditure, the value of gross fixed capital formation – GFCF) on the changing number of hotel rooms. The identification was based on commonly available materials provided by the Local Data Base (LDB) of the Central Statistical Office (CSO), as well as from statistical year books concerning the tourism sector. The article presents methods for analysing indices, as well as correlation and graphic presentation (graphs, maps). From 1990 to 2015, there was a rapid increase in the number and capacity of hotels in Poland (4.5 times), especially in higher (5* and 4*) and medium standard (3*) hotels. That increase was significantly diversified regionally and strongly depended on the tourism attractiveness and socioeconomic development of provinces.

What’s Included

Introducing the Polish Newspaper, Books, and Magazine Image Dataset - a diverse and comprehensive collection of images meticulously curated to propel the advancement of text recognition and optical character recognition (OCR) models designed specifically for the Polish language.

Containing a total of 5000 images, this Polish OCR dataset offers an equal distribution across newspapers, books, and magazines. Within, you'll find a diverse collection of content, including articles, advertisements, cover pages, headlines, call outs, and author sections from a variety of newspapers, books, and magazines. Images in this dataset showcases distinct fonts, writing formats, colors, designs, and layouts.

To ensure the diversity of the dataset and to build robust text recognition model we allow limited (less than five) unique images from a single resource. Stringent measures have been taken to exclude any personal identifiable information (PII), and in each image a minimum of 80% space is contain visible Polish text.

Images have been captured under varying lighting conditions – both day and night – along with different capture angles and backgrounds, further enhancing dataset diversity. The collection features images in portrait and landscape modes.

All these images were captured by native Polish people to ensure the text quality, avoid toxic content and PII text. We used latest iOS and android mobile devices above 5MP camera to click all these images to maintain the image quality. In this training dataset images are available in both JPEG and HEIC formats.

Along with the image data you will also receive detailed structured metadata in CSV format. For each image it includes metadata like device information, source type like newspaper, magazine or book image, and image type like portrait or landscape etc. Each image is properly renamed corresponding to the metadata.

The metadata serves as a valuable tool for understanding and characterizing the data, facilitating informed decision-making in the development of Polish text recognition models.

We're committed to expanding this dataset by continuously adding more images with the assistance of our native Polish crowd community.

If you require a custom dataset tailored to your guidelines or specific device distribution, feel free to contact us. We're equipped to curate specialized data to meet your unique needs.

Furthermore, we can annotate or label the images with bounding box or transcribe the text in the image to align with your specific requirements using our crowd community.

This Image dataset, created by FutureBeeAI, is now available for commercial use.

Leverage the power of this image dataset to elevate the training and performance of text recognition, text detection, and optical character recognition models within the realm of the Polish language. Your journey to enhanced language understanding and processing starts here.

In institutions of higher education, both internationality and diversity are highly valued. Yet the relationship between these two values often remains undefined. On the one hand, the ‘internationalisation imperative’ and the ‘diversity imperative’ can be regarded as two sides of the same coin. On the other hand, they are perceived as two different tasks and are associated with different groups, interests, and organisational units. To better understand their nexus, this article presents a comparative analysis of German and Polish universities. It identifies the administrative units and actors responsible for managing internationalisation and diversity. Mixed methods were used, including surveys in university administrations, publicly available data from universities’ websites, and qualitative interviews with practitioners in both fields. The results illustrate how the traditional ‘International Offices’ and the more recently established ‘Diversity Offices’ are equipped and related to each other. Regarding internationalisation, German and Polish universities have comparable national trajectories as both institutionalise this task at the administrative level and within university leadership. At the same time, there is a gap between the two countries in terms of how they deal with the diversity imperative. Finally, the article raises the practical question of whether the respective units need to reconceptualise their relationship in the future.

What’s Included

Welcome to the Polish Brainstorming Prompt-Response Dataset, a meticulously curated collection of 2000 prompt and response pairs. This dataset is a valuable resource for enhancing the creative and generative abilities of Language Models (LMs), a critical aspect in advancing generative AI.

This brainstorming dataset comprises a diverse set of prompts and responses where the prompt contains instruction, context, constraints, and restrictions while completion contains the most accurate response list for the given prompt. Both these prompts and completions are available in Polish language.

These prompt and completion pairs cover a broad range of topics, including science, history, technology, geography, literature, current affairs, and more. Each prompt is accompanied by a response, providing valuable information and insights to enhance the language model training process. Both the prompt and response were manually curated by native Polish people, and references were taken from diverse sources like books, news articles, websites, and other reliable references.

This dataset encompasses various prompt types, including instruction type, continuation type, and in-context learning (zero-shot, few-shot) type. Additionally, you'll find prompts and responses containing rich text elements, such as tables, code, JSON, etc., all in proper markdown format.

To ensure diversity, our brainstorming dataset features prompts of varying complexity levels, ranging from easy to medium and hard. The prompts also vary in length, including short, medium, and long prompts, providing a comprehensive range. Furthermore, the dataset includes prompts with constraints and persona restrictions, making it exceptionally valuable for LLM training.

Our dataset accommodates diverse learning experiences, offering responses across different domains depending on the prompt. For these brainstorming prompts, responses are generally provided in list format. These responses encompass text strings, numerical values, and dates, enhancing the language model's ability to generate reliable, coherent, and contextually appropriate answers.

This fully labeled Polish Brainstorming Prompt Completion Dataset is available in both JSON and CSV formats. It includes comprehensive annotation details, including a unique ID, prompt, prompt type, prompt length, prompt complexity, domain, response, and the presence of rich text.

Our dataset upholds the highest standards of quality and accuracy. Each prompt undergoes meticulous validation, and the corresponding responses are thoroughly verified. We prioritize inclusivity, ensuring that the dataset incorporates prompts and completions representing diverse perspectives and writing styles, maintaining an unbiased and discrimination-free stance.

The Polish version is grammatically accurate without any spelling or grammatical errors. No copyrighted, toxic, or harmful content is used during the construction of this dataset.

The entire dataset was prepared with the assistance of human curators from the FutureBeeAI crowd community. We continuously work to expand this dataset, ensuring its ongoing growth and relevance. Additionally, FutureBeeAI offers the flexibility to curate custom brainstorming prompt and completion datasets tailored to specific requirements, providing you with customization options.

This dataset, created by FutureBeeAI, is now available for commercial use. Researchers, data scientists, and developers can leverage this fully labeled and ready-to-deploy Polish Brainstorming Prompt-Completion Dataset to enhance the creative and accurate response generation capabilities of their generative AI models and explore new approaches to NLP tasks.

Mitochondrial DNA control region diversity indices for 30 red deer populations studied in Poland.

This dataset tracks annual diversity score from 2012 to 2023 for Poland Regional High School vs. Maine and RSU 16 School District

Poland Imports: Vol: PR: Natural Rubber and Natural Gums in Diverse Forms data was reported at 101,632.000 Ton in 2016. This records a decrease from the previous number of 103,508.000 Ton for 2015. Poland Imports: Vol: PR: Natural Rubber and Natural Gums in Diverse Forms data is updated yearly, averaging 101,324.000 Ton from Dec 2003 (Median) to 2016, with 13 observations. The data reached an all-time high of 121,211.000 Ton in 2014 and a record low of 69,540.000 Ton in 2009. Poland Imports: Vol: PR: Natural Rubber and Natural Gums in Diverse Forms data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.JA007: Imports: by Commodity: Volume.

The Carpathian Mountains are the center of lichen species diversity in Poland. They are a refuge for many rare species not only on a national scale but also within their entire ranges. The database contains a taxonomically and nomenclatural revised list of lichens and associated fungi reported from the Polish Carpathians up to 2003. The taxonomic concept is based on monographic studies, and the nomenclature of taxa generally follows Index Fungorum (2020) and MycoBank databases (2020). The distribution data for each species was also verified. For each species, the distribution at the level of macro- and mesoregions is given according to the physical-geographical regionalization of the Carpathians (Kondracki 1989). Next to each species within a region, there are references to source materials. These are bibliographic citations or acronyms of herbaria (KRAM, KRA, MIN, UGDA, OPUN) where unpublished herbarium specimens are available. The initial source material was a checklist by Bielczyk (2003). Critical analysis of this study made it possible to indicate species that should be excluded from the list of lichens of the Polish Carpathians or some regions, due to their misidentification or nomenclatural changes. It should be noted that since 2003 the list of Carpathian lichens has grown significantly (cf. Bielczyk et al. 2020).

Imports: PR: Natural Rubber and Natural Gums in Diverse Forms data was reported at 589,141.000 PLN th in 2016. This records a decrease from the previous number of 630,945.200 PLN th for 2015. Imports: PR: Natural Rubber and Natural Gums in Diverse Forms data is updated yearly, averaging 585,554.450 PLN th from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 1,703,024.500 PLN th in 2011 and a record low of 308,717.000 PLN th in 2003. Imports: PR: Natural Rubber and Natural Gums in Diverse Forms data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.JA006: Imports: by Commodity: Value.

Poland import data: Uncover the strategy behind Poland's thriving economy and its diversified trade, major partners, and key imports. Discover more!

About this dataset

Context

The dataset presents the median household income across different racial categories in Poland. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Poland population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 90.77% of the total residents in Poland. Notably, the median household income for White households is $87,566. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $154,844. This reveals that, while Whites may be the most numerous in Poland, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Poland.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Poland median household income by race. You can refer the same here

We analysed 16 populations of Dactylorhiza majalis subsp. majalis located in the northern Poland, simultaneously utilizing both morphological and molecular data. Genetic differentiation was examined using five microsatellite loci, and morphological variation was assessed for 23 characters. At the species level, our results showed a moderate level of genetic diversity (A = 6.00; Ae = 1.86; Ho = 0.387; FIS = 0.139) which varied between studied populations (A = 2.60-4.20; Ae = 1.68-2.39; Ho = 0.270-0.523; FIS = –0.064-0.355). A significant excess of homozygotes was detected in five population, while excess of heterozygotes was observed in four populations, but obtained values were statistically insignificant. Moderate, but clear genetic differentiation was found (FST = 0.101; P < 0.001). Considering the obtained pairwise-FST and number of migrants, we indicated three population groups (I, II, III), where the first one can be divided into two smaller subgroups (Ia, Ib). These three groups differed in the gene flow values (Nm = 0.39-1.12). The highest number of migrants per generation was noticed in the subgroup Ia (8.58). It indicates a central panmictic population with free gene flow surrounded by peripatric local populations (Ib) with more limited gene flow. Geographic isolation, habitat fragmentation and limited seed dispersal affect limited gene flow among three indicated population groups . A weak but significant pattern of isolation by distance was also observed (r = 0.351; P < 0.05).