This series contains personal descriptive data about Japanese Americans evacuated from the states of Washington, Oregon, and California to ten relocation centers operated by the War Relocation Authority during World War II in the states of California (Tule Lake and Manzanar Centers), Idaho (Minidoka Center), Utah (Central Utah Center), Colorado (Granada Center), Arizona (Colorado River and Gila River Centers), Wyoming (Heart Mountain Center), and Arkansas (Rohwer and Jerome Centers). Each record represents an individual and includes the name; relocation project and assembly center to which assigned; previous address; birthplace of parents; occupation of father; education; foreign residence; indication of military service, public assistance, pensions, and physical defects; sex and marital status; race of evacuee and spouse; year of birth; age; birthplace; indication of the holding of an alien registration number and/or Social Security number, and whether the evacuee attended Japanese language school; highest grade completed; language proficiency; occupations; and religion.

Graph and download economic data for Japanese Yen to U.S. Dollar Spot Exchange Rate (DEXJPUS) from 1971-01-04 to 2025-03-21 about Japan, exchange rate, currency, rate, and USA.

About this dataset

Context

The dataset tabulates the population of Pittsford by race. It includes the population of Pittsford across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Pittsford across relevant racial categories.

Key observations

The percent distribution of Pittsford population by race (across all racial categories recognized by the U.S. Census Bureau): 91.89% are white, 2% are Black or African American, 1.35% are Asian, 0.24% are some other race and 4.52% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Pittsford
• Population: The population of the racial category (excluding ethnicity) in the Pittsford is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Pittsford total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Pittsford Population by Race & Ethnicity. You can refer the same here

JANON Speech Corpus

The JANON speech corpus of read speech is a dataset for analyzing non-native Japanese speech. There are non-native Japanese speakers from all parts of the globe contained in the dataset. It consists of isolated words and sentences read aloud by most speakers. Although one speaker was unable to complete the sentences. This dataset was created as a part of my Ph.D. Thesis at the University of Tokyo in order for non-native accent, gemination, and vowel length error recognition. For that, a subset of data was labeled. I will look for this data. Presently, the dataset has not been divided

Purpose

The corpus was intended for engineering purposes. Since speakers are not concentrated to one region, it may not be adequate to use for most analysis purposes, but that should be possible as well.

Corpus Text Material

The corpus consists of 71 sentences and 218 isolated words read aloud. The speakers 73 sentences read-aloud. The sentences and words were chosen to provide a variety in phonemes, accent, gemination, and vowel length.

The CSV file (To be created) consists of the following columns. | Region | Native Language | Sex | Speaker ID | Text Type | Text ID | Filename | Text |

Each filename encodes the region, sex, and identifier, speaker ID, text type and text ID, which all form a unique identifier when coupled. The text is the Japanese text read by the speaker.

Corpus Speaker Description

JANON consists of a 30 speakers of which 4 are native speakers. The speakers were chosen to be native speakers a variety of native languages (20) and a variety of nations. There are representatives from all continents, and many of the major cultural regions in the world (East Asia, South East Asia, South Asia, Anglo-America, Australia, Latin America, the Middle East, and East Africa).

Country/Region	Native Language	Male	Female	Total
America	English	1	0	1
Australia	English	0	1	1
Bangladesh	Bengali	2	0	2
Brazil	Portuguese	0	1	1
Bulgaria	Bulgarian	1	0	1
China	Mandarin	1	1	2
Finland	Finnish	1	1	2
France	French	1	0	1
Greece	Greek	1	0	1
Hong Kong	Cantonese	1	0	1
Japan	Japanese	2	2	4
Korea	Korean	0	2	2
Kenya	Kenyan	1	0	1
Malaysia	Malaysian	1	0	1
Nepal	Nepali	0	1	1
Saudi Arabia	Arabic	1	0	1
Spain	Catalan	1	0	1
Sweden	Swedish	0	1	1
Thailand	Thai	1	1	2
UK	English	0	1	1
Vietnam	Vietnamese	1	0	1
Venezuela	Spanish	1	0	1

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Shelbyville by race. It includes the distribution of the Non-Hispanic population of Shelbyville across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Shelbyville across relevant racial categories.

Key observations

Of the Non-Hispanic population in Shelbyville, the largest racial group is White alone with a population of 16,747 (93.21% of the total Non-Hispanic population).

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: This column displays the racial categories (for Non-Hispanic) for the Shelbyville
• Population: The population of the racial category (for Non-Hispanic) in the Shelbyville is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Shelbyville total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Shelbyville Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Phoenixville by race. It includes the distribution of the Non-Hispanic population of Phoenixville across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Phoenixville across relevant racial categories.

Key observations

Of the Non-Hispanic population in Phoenixville, the largest racial group is White alone with a population of 15,201 (84.93% of the total Non-Hispanic population).

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: This column displays the racial categories (for Non-Hispanic) for the Phoenixville
• Population: The population of the racial category (for Non-Hispanic) in the Phoenixville is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Phoenixville total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Phoenixville Population by Race & Ethnicity. You can refer the same here

Key information about Japan Total Exports to USA

• Japan Total Exports to USA recorded 12.567 USD bn in Feb 2025, compared with 9.837 USD bn in the previous Jan 2025
• Japan Total Exports to USA data is updated monthly, available from Jan 1960 to Feb 2025, with an averaged value of 8.049 USD bn
• The data reached an all-time high of 14.454 USD bn in Dec 2023 and a record low of 64.000 USD mn in Feb 1961

CEIC converts monthly Total Exports to USA into USD. The Ministry of Finance provides Total Exports to USA, FOB, in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Total Exports to USA prior to January 1985 is sourced from the International Monetary Fund

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Pittsford by race. It includes the distribution of the Non-Hispanic population of Pittsford across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Pittsford across relevant racial categories.

Key observations

Of the Non-Hispanic population in Pittsford, the largest racial group is White alone with a population of 1,404 (93.23% of the total Non-Hispanic population).

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: This column displays the racial categories (for Non-Hispanic) for the Pittsford
• Population: The population of the racial category (for Non-Hispanic) in the Pittsford is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Pittsford total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Pittsford Population by Race & Ethnicity. You can refer the same here

United States Treasury Securities: Foreign Holder: Japan data was reported at 1,028.000 USD bn in Sep 2018. This records a decrease from the previous number of 1,029.900 USD bn for Aug 2018. United States Treasury Securities: Foreign Holder: Japan data is updated monthly, averaging 708.200 USD bn from Mar 2000 (Median) to Sep 2018, with 223 observations. The data reached an all-time high of 1,241.500 USD bn in Nov 2014 and a record low of 292.900 USD bn in Sep 2001. United States Treasury Securities: Foreign Holder: Japan data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z050: Major Foreign Holders of US Treasury Securities.

Graph and download economic data for Japanese Yen to U.S. Dollar Spot Exchange Rate (AEXJPUS) from 1971 to 2024 about Japan, exchange rate, currency, rate, and USA.

About this dataset

Context

The dataset tabulates the population of Phoenixville by race. It includes the population of Phoenixville across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Phoenixville across relevant racial categories.

Key observations

The percent distribution of Phoenixville population by race (across all racial categories recognized by the U.S. Census Bureau): 80.45% are white, 6.17% are Black or African American, 0.07% are American Indian and Alaska Native, 3.84% are Asian, 1.65% are some other race and 7.81% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Phoenixville
• Population: The population of the racial category (excluding ethnicity) in the Phoenixville is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Phoenixville total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Phoenixville Population by Race & Ethnicity. You can refer the same here

The Japanese Kids Speech database (Lower Grade) contains the total recordings of 179 Japanese Kids speakers (71 males and 108 females), from 6 to 9 years' old (first, second and third graders in elementary school), recorded in quiet rooms using smartphones. This database may be combined with the Japanese Kids Speech database (Upper Grade) also available in the ELRA Catalogue under reference ELRA-S0412.Number of speakers, utterances, duration and age are as follows :Number of speakers 179 (71 male/108 female)Number of utterances (average):325 utterances per speakerTotal number of utterances: 58,214Age: from 6 to 9 years' oldTotal hours of data: 116.61019 sentences were used. Recordings were made through smartphones and audio data stored in .wav files as sequences of 16KHz Mono, 16 bits, Linear PCM.Database:・Audio data: WAV format, 16KHz, 16bit, mono (recorded with smartphone)・Recording scripts: TSV format(tab-delimited), UTF-8 (without BOM)・Transcription data: TSV format(tab-delimited), UTF-8 (without BOM)・Size: 12.9GBNumber of speakers per age:6 years' old: 35 (17 male, 18 female)7 years' old: 58 (26 male, 32 female)8 years' old: 67 (22 male, 45 female)9 years' old: 19 (6 male, 13 female)Structure of database:├─ readme.txt├─ Japanese Kids Speech Database.pdfDescription document of the database├─ Transcription.tsvTranscription├─ scripts.tsvScript│└─ voices/directory of audio data └─ low/directory of lower grade └─(speaker_ID/)directory of speaker ID (six digits) └─(audio_file)audio file (WAV format, 16KHz, 16bit, mono)File naming conventions of audio files are as follows:Field number | Contents | Description | Remarks0 | Language ID | “JA” (fixed) | Japanese1 | Speaker ID | Six digit | 4XXXXX2 | Script ID | LXXXX | XXXX: four digits3 | Age | Two digits4 | Gender | M: male, F: femaleFiled separation character is “_”.For example, if the audio file name is “JA_400001_L0001_07_F.wav, this file has the following meaning:JA: Language ID (Japanese)400001: speaker IDL0001: script ID07: age (seven years old)F: gender (female)

About this dataset

Context

The dataset tabulates the population of Brea by race. It includes the population of Brea across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Brea across relevant racial categories.

Key observations

The percent distribution of Brea population by race (across all racial categories recognized by the U.S. Census Bureau): 46.59% are white, 1.78% are Black or African American, 0.71% are American Indian and Alaska Native, 26.49% are Asian, 0.07% are Native Hawaiian and other Pacific Islander, 10.12% are some other race and 14.24% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Brea
• Population: The population of the racial category (excluding ethnicity) in the Brea is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Brea total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Brea Population by Race & Ethnicity. You can refer the same here

The Gross Domestic Product (GDP) in Japan was worth 4204.49 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Japan represents 3.99 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

By August 1945, U.S. and British Commonwealth forces had pushed the Japanese back through Southeast Asia to the Japanese mainland, while Japanese control in China was weakening each day, and the Soviet Union was rapidly approaching from the west. However, despite inevitable defeat looming over the Empire of Japan, its military leaders encouraged its forces to fight to the death, and Japanese resistance grew in ferocity as they were pushed back to the mainland, most notably on the islands of Iwo Jima and Okinawa. As U.S. leadership realized that an amphibious assault on the Japanese mainland would result in heavy and unnecessary casualties on both sides, including large numbers of civilians, an alternative measure was sought. The USSR's advance also put time pressure on the Americans, as defeating Japan quickly would give the U.S. more time to assert control over the region, without having to split control with the Soviets (as was the case in Germany). The bombs are dropped On May 31, 1945, it was suggested that the U.S. demonstrate the power of the atomic bomb to the Japanese, to convince them to surrender - the plan was rejected, however, in the fear that it was not convincing enough, that the Japanese may shoot down the plane, or that the bomb was a dud - instead, a surprise attack was viewed as the most effective course of action. Following the Trinity Test in July 16, the United States achieved the goal of successfully creating and detonating a nuclear weapon. On July 26, the leaders of the U.S., UK, and China all called for the unconditional surrender of Japan, otherwise Japan would face "prompt and utter destruction". Japan did not surrender, and on the morning of August 6, the Enola Gay B-29 bomber dropped an atomic bomb, known as "Little Boy", over the city of Hiroshima. Japan still refused to surrender, and three days later, another bomb, known as "Fat Man", was dropped over Nagasaki. Japan's surrender was announced on August 15, and formalized on September 2, 1945, bringing WWII to a close. Impact The bomb dropped over Hiroshima was a uranium 235 bomb, which detonated at approximately 580 meters (1,900ft) above the ground and had a yield of 16 kilotons (i.e. it had the same blast force as 16,000 tons of TNT). The bomb dropped over Nagasaki was a plutonium 239 bomb, which detonated at approximately 500 meters (1,650ft) and had a yield of 21 kilotons. The temperatures at the epicenter of the explosions reached around 3,000-4,000 degrees Celsius, and thermal radiation was so strong that it caused third degree burns over a kilometer from ground zero. The majority of those within a one km radius of both explosions were killed instantly through the blast force and intense heat, while those further away were more susceptible to injuries by burning, falling debris and glass, and radiation. Additionally, as the fallout from the blast (i.e. radioactive dust and ash sent into the air by the explosion) returned to the ground it was carried by the wind to populations outside of the blast radius, and radiation sickness then took hold over the days and weeks that followed. Due to the nature of the attack, Japan's population distribution at the time, and the long-term effects of radiation poisoning (which may be responsible for illnesses and death several years after exposure), there is no accepted consensus on the total number of deaths due to the atomic bombings at Hiroshima and Nagasaki -the figures given appear to be on the lower end of estimate ranges, where combined estimates generally vary between 110,000 and 210,000 deaths.

The National Asian American Survey (NAAS) Post-Election Survey, 2016 contains nationally representative data from telephone interviews of adult U.S. residents who self-identified as Asian/Asian American, Native Hawaiian or Pacific Islander, White, African American/Black, Hispanic/Latino, and Multiracial. The survey included sizable samples of Asian Americans in 9 Asian national origin groups (Chinese, Filipino, Indian, Vietnamese, Korean, Japanese, Hmong, Cambodian), as well as Native Hawaiian/Pacific Islanders. The survey instrument included questions about immigrant background, social identities, social attitudes, political behavior, and policy attitudes. Demographic information included age, race, language, gender, country of birth, religion, marital status, educational level, employment status, citizenship status, household income, and size of household. The study contains 2 data files, public-use and restricted-use versions of the same dataset (386 variables, 6448 cases).

JA-Multi-Image-VQA

  Dataset Description

JA-Multi-Image-VQA is a dataset for evaluating the question answering capabilities on multiple image inputs. We carefully collected a diverse set of 39 images with 55 questions in total. Some images contain Japanese culture and objects in Japan. The Japanese questions and answers were created manually.

  Usage

from datasets import load_dataset dataset = load_dataset("SakanaAI/JA-Multi-Image-VQA", split="test")… See the full description on the dataset page: https://huggingface.co/datasets/SakanaAI/JA-Multi-Image-VQA.

Although preceding studies on Japan’s foreign aid tend to report that Japan’s aid policy is receptive to U.S. pressure, it remains unclear which direction the U.S. wishes Japan to assist its aid programs and how bureaucratic politics of Japan reduces the magnitude of U.S. influence. This article pursues the first attempt to provide a theoretical framework for the direction of U.S. influence on Japan’s aid provision and to explore whether its impact varies across different types of aid. I utilize a new dataset on Japan’s Official Development Assistance from 1971 to 2009 and employ both ordinary least squares and two-stage least squares regressions to handle the issues of reverse causality and joint decision-making. The combined results of quantitative and qualitative analyses suggest that the U.S. tends to urge Japan to complement its aid efforts rather than to substitute them as substitution will allow Japan to increase its clout in strategically important recipients and the U.S. attempts to minimize this risk by asking Japan to disburse aid in tandem. I also find that the allocation of Japanese grants is more receptive to U.S. pressure than that of loans because the former is left to the discretion of the Ministry of Foreign Affairs that uses external pressure to win bureaucratic turf wars, whereas loans are determined through consultations among multiple agencies with constituencies that prioritize Japan’s domestic interests. The findings are robust across different model specifications and different samples.

gsm8k-ja-test_250-1319

This dataset contains 1069 Japanese math problems and their solutions. It was used for optimizing LLMs in the paper "Evolutionary Optimization of Model Merging Recipes".

  Dataset Details

This dataset contains Japanese translations of 1069 math problems and solutions from the GSM8K test set, starting from the 251st example out of 1319. The translation was done using gpt-4-0125-preview. We did not use the first 250 examples because they are… See the full description on the dataset page: https://huggingface.co/datasets/SakanaAI/gsm8k-ja-test_250-1319.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Brea by race. It includes the distribution of the Non-Hispanic population of Brea across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Brea across relevant racial categories.

Key observations

Of the Non-Hispanic population in Brea, the largest racial group is White alone with a population of 17,426 (53.20% of the total Non-Hispanic population).

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: This column displays the racial categories (for Non-Hispanic) for the Brea
• Population: The population of the racial category (for Non-Hispanic) in the Brea is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Brea total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Brea Population by Race & Ethnicity. You can refer the same here