The Gross Domestic Product (GDP) in Vietnam was worth 429.72 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Vietnam represents 0.41 percent of the world economy. This dataset provides the latest reported value for - Vietnam GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about Vietnam Total Exports to USA

• Vietnam Total Exports to USA recorded 9.068 USD bn in Feb 2025, compared with 10.498 USD bn in the previous Jan 2025
• Vietnam Total Exports to USA data is updated monthly, available from Jan 1990 to Feb 2025, with an averaged value of 806.367 USD mn
• The data reached an all-time high of 11.797 USD bn in Aug 2024 and a record low of 0.000 USD mn in Dec 1990

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).

In the first quarter of 2024, the average monthly salary for paid workers and employees was about 8.5 million Vietnamese dong, indicating a significant increase from the previous quarter. The labor force reached about 52.4 million people in that quarter.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Phoenix, the largest racial group is White alone with a population of 671,373 (70.97% 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 Phoenix
• Population: The population of the racial category (for Non-Hispanic) in the Phoenix is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Phoenix 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 Phoenix Population by Race & Ethnicity. You can refer the same here

The central purpose of this needs assessment epidemiological study was to investigate and to document the mental health needs, mental health service utilization, as well as use of indigenous healers among Southeast Asian refugees both currently in ten counties in California, and formerly in their native countries. The total sample consisted of 2,773 participants: 867 Vietnamese-Americans; 590 Cambodians-Americans; 723 Lao-Americans; 302 Hmong-Americans; 291 Chinese-Vietnamese-Americans. Of the 2,773 participants, 1534 (55.3%) were male: 508 Vietnamese, 423 Lao, 290 Cambodian, 164 Hmong, and 149 Chinese-Vietnamese, and 1239 (43.7%) were female: 359 Vietnamese, 300 Cambodian, 300 Lao, 142 Chinese-Vietnamese, and 138 Hmong, ranging from 18 to 68 years. The Asian Community Mental Health Services initiated a statewide survey assessing the mental health needs of Southeast Asian refugees living in California. The study, conducted between August, 1986 and April, 1987, examined health beliefs, and help-seeking behaviors. The Murray Research Archive holds numeric file data from this study in SPSS format, and a follow-up study may only be performed with the collaboration of the Contributor.

This dataset includes the primary language of newly Medi-Cal eligible individuals who identified their primary language as English, Spanish, Vietnamese, Mandarin, Cantonese, Arabic, Other Non-English, Armenian, Russian, Farsi, Korean, Tagalog, Other Chinese Languages, Hmong, Cambodian, Portuguese, Lao, French, Thai, Japanese, Samoan, Other Sign Language, American Sign Language (ASL), Turkish, Ilacano, Mien, Italian, Hebrew, and Polish, by reporting period. The primary language data is from the Medi-Cal Eligibility Data System (MEDS) and includes eligible individuals without prior Medi-Cal eligibility. This dataset is part of the public reporting requirements set forth in California Welfare and Institutions Code 14102.5.

This dataset includes race/ethnicity of newly Medi-Cal eligible individuals who identified their race/ethnicity as Hispanic, White, Other Asian or Pacific Islander, Black, Chinese, Filipino, Vietnamese, Asian Indian, Korean, Alaskan Native or American Indian, Japanese, Cambodian, Samoan, Laotian, Hawaiian, Guamanian, Amerasian, or Other, by reporting period. The race/ethnicity data is from the Medi-Cal Eligibility Data System (MEDS) and includes eligible individuals without prior Medi-Cal Eligibility. This dataset is part of the public reporting requirements set forth in California Welfare and Institutions Code 14102.5.

Vietnam Exports: Year to Date: Textiles and Garments data was reported at 5.634 USD bn in Feb 2025. This records an increase from the previous number of 3.189 USD bn for Jan 2025. Vietnam Exports: Year to Date: Textiles and Garments data is updated monthly, averaging 4.908 USD bn from Apr 1998 (Median) to Feb 2025, with 323 observations. The data reached an all-time high of 37.603 USD bn in Dec 2022 and a record low of 98.000 USD mn in Jan 1999. Vietnam Exports: Year to Date: Textiles and Garments data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.JA009: Exports: By Commodity: Value.

In 2023, around 532 thousand Chinese of Korean descent lived in South Korea, the largest group of foreign nationals. This was followed by immigrants from Vietnam and China, with around 247.3 thousand and 221 thousand respectively.

This page displays a table with Vietnam Exports By Category in U.S. dollars, according to the United Nations COMTRADE database on international trade.

Description

The dataset is from 5CD-AI/Vietnamese-c-s-ale-alpaca-gpt4-data-gg-translated, formatted as dialogues for speed and ease of use. Many thanks to 5CD-AI for releasing it. Importantly, this format is easy to use via the default chat template of transformers, meaning you can use huggingface/alignment-handbook immediately, unsloth.

  Structure

View online through viewer.

  Note

We advise you to reconsider before use, thank you. If you find it… See the full description on the dataset page: https://huggingface.co/datasets/lamhieu/alpaca_gpt4_dialogue_en.

Introduction of Visocial Instruction for Vietnamese 🇻🇳

In today's digital age 🌐, social media has become a significant and rich source of information 📱. However, processing text from social media presents many challenges due to its unstandardized nature 🤔. Posts and comments on social media often contain special characters, emojis 🎉, abbreviations 📝, informal language 🗣️, and many other elements that complicate analysis and processing. To address these challenges, we… See the full description on the dataset page: https://huggingface.co/datasets/5CD-AI/Visocial-Instructions.