Non Farm Payrolls in the United States increased by 22 thousand in August of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States FRBOP Forecast: NFP: Median: sa: Ave Mo Chg: Plus 2 Qtrs data was reported at 160.413 Person th in Jun 2018. This records a decrease from the previous number of 168.726 Person th for Mar 2018. United States FRBOP Forecast: NFP: Median: sa: Ave Mo Chg: Plus 2 Qtrs data is updated quarterly, averaging 165.333 Person th from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 223.004 Person th in Jun 2015 and a record low of -202.098 Person th in Mar 2009. United States FRBOP Forecast: NFP: Median: sa: Ave Mo Chg: Plus 2 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.

Nonfarm Payrolls Private in the United States increased by 38 thousand in August of 2025. This dataset provides the latest reported value for - United States Nonfarm Payrolls - Private - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for NFPrompt on 2025-11-05. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Non Farm Payrolls in Canada increased by 18267 thousand in July of 2025. This dataset provides - Canada Non Farm Payrolls- actual values, historical data, forecast, chart, statistics, economic calendar and news.

FRBOP Forecast: Non Farm Payroll: Mean: sa: Plus 1 Qtr data was reported at 151,129.810 Person th in Mar 2019. This records an increase from the previous number of 150,413.092 Person th for Dec 2018. FRBOP Forecast: Non Farm Payroll: Mean: sa: Plus 1 Qtr data is updated quarterly, averaging 136,222.791 Person th from Dec 2003 (Median) to Mar 2019, with 62 observations. The data reached an all-time high of 151,129.810 Person th in Mar 2019 and a record low of 130,585.358 Person th in Dec 2003. FRBOP Forecast: Non Farm Payroll: Mean: sa: Plus 1 Qtr data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.G030: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast.

This dataset provides values for NON FARM PAYROLLS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

United States FRBOP Forecast: NFP: Median: sa: Ave Mo Chg: Plus 3 Qtrs data was reported at 160.920 Person th in Jun 2018. This records an increase from the previous number of 151.759 Person th for Mar 2018. United States FRBOP Forecast: NFP: Median: sa: Ave Mo Chg: Plus 3 Qtrs data is updated quarterly, averaging 164.883 Person th from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 229.420 Person th in Mar 2015 and a record low of -43.046 Person th in Mar 2009. United States FRBOP Forecast: NFP: Median: sa: Ave Mo Chg: Plus 3 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.

Computational neutralization fingerprinting, NFP, is an efficient and accurate method for predicting the epitope specificities of polyclonal antibody responses to HIV-1 infection. Here, we present next-generation NFP algorithms that substantially improve prediction accuracy for individual donors and enable serologic analysis for entire cohorts. Specifically, we developed algorithms for: (a) selection of optimized virus neutralization panels for NFP analysis, (b) estimation of NFP prediction confidence for each serum sample, and (c) identification of sera with potentially novel epitope specificities. At the individual donor level, the next-generation NFP algorithms particularly improved the ability to detect multiple epitope specificities in a sample, as confirmed both for computationally simulated polyclonal sera and for samples from HIV-infected donors. Specifically, the next-generation NFP algorithms detected multiple specificities in twice as many samples of simulated sera. Further, unlike the first-generation NFP, the new algorithms were able to detect both of the previously confirmed antibody specificities, VRC01-like and PG9-like, in donor CHAVI 0219. At the cohort level, analysis of ~150 broadly neutralizing HIV-infected donor samples suggested a potential connection between clade of infection and types of elicited epitope specificities. Most notably, while 10E8-like antibodies were observed in infections from different clades, an enrichment of such antibodies was predicted for clade B samples. Ultimately, such large-scale analyses of antibody responses to HIV-1 infection can help guide the design of epitope-specific vaccines that are tailored to take into account the prevalence of infecting clades within a specific geographic region. Overall, the next-generation NFP technology will be an important tool for the analysis of broadly neutralizing polyclonal antibody responses against HIV-1.

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The insurance brokerage market research report estimates the market size to be $ 20.52 bn in 2021-2025. The incremental growth and the accelerate growth momentum present a positive outlook for the market. This will encourage established as well as new vendors to make investments and strengthen their position in the insurance brokerage market.

The insurance brokerage market research report offers several other key information including:

CAGR of the market during the forecast period 2021-2025
Detailed information on factors that will drive insurance brokerage market growth during the next five years
Precise estimation of the insurance brokerage market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the insurance brokerage market industry across North America, Europe, APAC, South America, and MEA
A thorough analysis of the market’s competitive landscape and detailed information on vendors
Comprehensive details of factors that will challenge the growth of insurance brokerage market vendors

Non Farm Payrolls in Switzerland increased by 5532 thousand in June of 2025. This dataset provides - Switzerland Non Farm Payrolls- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Upon thorough insurance brokerage market analysis and research, the following factors has been identified as the critical market trends during the forecast period 2021-2025:

Increase in HNWIs in developing regions

The insurance brokerage market report also provides several other key information including:

CAGR of the market during the forecast period 2021-2025
Detailed information on factors that will drive insurance brokerage market growth during the next five years
Precise estimation of the insurance brokerage market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the insurance brokerage market industry across North America, Europe, APAC, South America, and MEA
A thorough analysis of the market’s competitive landscape and detailed information on vendors
Comprehensive details of factors that will challenge the growth of insurance brokerage market vendors

This dataset provides values for NON FARM PAYROLLS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Diebold–Mariano test results: Based on IP, NFP, and CU indicators.

This dataset provides values for NON FARM PAYROLLS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

FRBOP预测：NFP：中位数：季节性调整后：平均月度变化：加2个季度在06-01-2018达160.413千人，相较于03-01-2018的168.726千人有所下降。FRBOP预测：NFP：中位数：季节性调整后：平均月度变化：加2个季度数据按季更新，12-01-2003至06-01-2018期间平均值为165.333千人，共59份观测结果。该数据的历史最高值出现于06-01-2015，达223.004千人，而历史最低值则出现于03-01-2009，为-202.098千人。CEIC提供的FRBOP预测：NFP：中位数：季节性调整后：平均月度变化：加2个季度数据处于定期更新的状态，数据来源于Federal Reserve Bank of Philadelphia，数据归类于Global Database的美国 – 表 US.G027：当期就业统计调查：就业：非农业：季节性调整后：预测：费城联邦储备银行。

Batay sa propesyonal na teknikal na pagsusuri at mga AI model, nagbibigay kami ng eksaktong datos sa pagtataya ng presyo para sa NFPrompt sa 2025-10-24. Kasama rito ang multi-scenario analysis (bullish, base, bearish), pagtatasa ng panganib, teknikal na indikasyon, at mga inaasahang galaw ng merkado upang matulungan ang mga mamumuhunan sa paggawa ng matalinong desisyon sa trading at pagbuo ng matatag na estratehiya sa pamumuhunan.

Batay sa propesyonal na teknikal na pagsusuri at mga AI model, nagbibigay kami ng eksaktong datos sa pagtataya ng presyo para sa NFPrompt sa 2025-10-30. Kasama rito ang multi-scenario analysis (bullish, base, bearish), pagtatasa ng panganib, teknikal na indikasyon, at mga inaasahang galaw ng merkado upang matulungan ang mga mamumuhunan sa paggawa ng matalinong desisyon sa trading at pagbuo ng matatag na estratehiya sa pamumuhunan.

Batay sa propesyonal na teknikal na pagsusuri at mga AI model, nagbibigay kami ng eksaktong datos sa pagtataya ng presyo para sa NFPrompt sa 2025-10-19. Kasama rito ang multi-scenario analysis (bullish, base, bearish), pagtatasa ng panganib, teknikal na indikasyon, at mga inaasahang galaw ng merkado upang matulungan ang mga mamumuhunan sa paggawa ng matalinong desisyon sa trading at pagbuo ng matatag na estratehiya sa pamumuhunan.

Batay sa propesyonal na teknikal na pagsusuri at mga AI model, nagbibigay kami ng eksaktong datos sa pagtataya ng presyo para sa NFPrompt sa 2025-11-15. Kasama rito ang multi-scenario analysis (bullish, base, bearish), pagtatasa ng panganib, teknikal na indikasyon, at mga inaasahang galaw ng merkado upang matulungan ang mga mamumuhunan sa paggawa ng matalinong desisyon sa trading at pagbuo ng matatag na estratehiya sa pamumuhunan.