Graph and download economic data for Nowcast for Real Personal Consumption Expenditures (PCENOW) from Q3 2011 to Q2 2025 about nowcast, projection, PCE, consumption expenditures, consumption, personal, real, rate, and USA.

Graph and download economic data for Nowcast for Real Exports of Goods and Services (EXPORTSNOW) from Q3 2011 to Q2 2025 about nowcast, projection, exports, goods, services, real, rate, and USA.

United States Inflation Nowcast data was reported at 2.604 % in 12 May 2025. This records an increase from the previous number of 2.541 % for 05 May 2025. United States Inflation Nowcast data is updated weekly, averaging 3.362 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 9.059 % in 11 Jul 2022 and a record low of 0.133 % in 08 Jun 2020. United States Inflation Nowcast data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Headline.

The global operational Real-Time Ocean Forecast System (Global RTOFS) at the NOAA National Centers for Environmental Prediction is based on an eddy resolving 1/12° global HYCOM (HYbrid Coordinates Ocean Model) and is part of a larger national backbone capability of ocean modeling at the National Weather Service in a strong partnership with the US Navy.

The Federal Reserve Bank of Cleveland provides daily “nowcasts” of inflation for two popular price indexes, the price index for personal consumption expenditures (PCE) and the Consumer Price Index (CPI). These nowcasts give a sense of where inflation is today. Released each business day.

This article proposes a test to determine whether “big data” nowcasting methods, which have become an important tool to many public and private institutions, are monotonically improving as new information becomes available. The test is the first to formalize existing evaluation procedures from the nowcasting literature. We place particular emphasis on models involving estimated factors, since factor-based methods are a leading case in the high-dimensional empirical nowcasting literature, although our test is still applicable to small-dimensional set-ups like bridge equations and MIDAS models. Our approach extends a recent methodology for testing many moment inequalities to the case of nowcast monotonicity testing, which allows the number of inequalities to grow with the sample size. We provide results showing the conditions under which both parameter estimation error and factor estimation error can be accommodated in this high-dimensional setting when using the pseudo out-of-sample approach. The finite sample performance of our test is illustrated using a wide range of Monte Carlo simulations, and we conclude with an empirical application of nowcasting U.S. real gross domestic product (GDP) growth and five GDP sub-components. Our test results confirm monotonicity for all but one sub-component (government spending), suggesting that the factor-augmented model may be misspecified for this GDP constituent. Supplementary materials for this article are available online.

United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Labour Market: Unemployment Insurance: Unemployment Rate: sa data was reported at 0.029 % in 12 May 2025. This records a decrease from the previous number of 0.876 % for 05 May 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Labour Market: Unemployment Insurance: Unemployment Rate: sa data is updated weekly, averaging 0.123 % from Jan 2020 (Median) to 12 May 2025, with 277 observations. The data reached an all-time high of 40.397 % in 06 Apr 2020 and a record low of 0.000 % in 28 Apr 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Labour Market: Unemployment Insurance: Unemployment Rate: sa data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.

Graph and download economic data for Nowcast for Real Imports of Goods and Services (IMPORTSNOW) from Q3 2011 to Q2 2025 about nowcast, projection, imports, goods, services, real, rate, and USA.

United States - Nowcast for Real Change of Inventory Investment was -31.51920 Bil. of Chn. 2009 $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Nowcast for Real Change of Inventory Investment reached a record high of 228.27810 in July of 2020 and a record low of -130.67750 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nowcast for Real Change of Inventory Investment - last updated from the United States Federal Reserve on June of 2025.

Alternative data sets are widely used for macroeconomic nowcasting together with machine learning–based tools. The latter are often applied without a complete picture of their theoretical nowcasting properties. Against this background, this paper proposes a theoretically grounded nowcasting methodology that allows researchers to incorporate alternative Google Search Data (GSD) among the predictors and that combines targeted preselection, Ridge regularization, and Generalized Cross Validation. Breaking with most existing literature, which focuses on asymptotic in-sample theoretical properties, we establish the theoretical out-of-sample properties of our methodology and support them by Monte-Carlo simulations. We apply our methodology to GSD to nowcast GDP growth rate of several countries during various economic periods. Our empirical findings support the idea that GSD tend to increase nowcasting accuracy, even after controlling for official variables, but that the gain differs between periods of recessions and of macroeconomic stability.

Industrial Production Nowcast: sa: YoY: Contribution: GDP Nowcast: Now-Casting Surprise Index: 2 Months: United States data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. Industrial Production Nowcast: sa: YoY: Contribution: GDP Nowcast: Now-Casting Surprise Index: 2 Months: United States data is updated weekly, averaging 0.000 % from Feb 2020 (Median) to 12 May 2025, with 273 observations. The data reached an all-time high of 22.016 % in 09 Nov 2020 and a record low of 0.000 % in 12 May 2025. Industrial Production Nowcast: sa: YoY: Contribution: GDP Nowcast: Now-Casting Surprise Index: 2 Months: United States data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Industrial Production.

Industrial Production Nowcast: sa: YoY: Contribution: Financial: S&P Global: Index: S&P Global 1200 Communication Services data was reported at 0.246 % in 12 May 2025. This stayed constant from the previous number of 0.246 % for 05 May 2025. Industrial Production Nowcast: sa: YoY: Contribution: Financial: S&P Global: Index: S&P Global 1200 Communication Services data is updated weekly, averaging 0.123 % from Feb 2020 (Median) to 12 May 2025, with 273 observations. The data reached an all-time high of 5.772 % in 10 May 2021 and a record low of 0.000 % in 24 Mar 2025. Industrial Production Nowcast: sa: YoY: Contribution: Financial: S&P Global: Index: S&P Global 1200 Communication Services data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Industrial Production.

United States - Nowcast for Real Imports of Goods was -18.49950 % Chg. at Annual Rate in April of 2025, according to the United States Federal Reserve. Historically, United States - Nowcast for Real Imports of Goods reached a record high of 59.54900 in January of 2025 and a record low of -25.47870 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nowcast for Real Imports of Goods - last updated from the United States Federal Reserve on June of 2025.

This West Coast ROMS model is one of two near real-time ocean models encompassing the Central and Northern California area supported by CeNCOOS. This ROMS configuration is run by the UC Santa Cruz Ocean Modeling group and covers the whole West Coast at a resolution of 10 km. The portal displays the 'best of' time series aggregation based on assimilations of the prior 4 days of data (hindcast and nowcast data are also available from UCSC). Parameters displayed in the portal include sea surface height, water temperature, salinity, currents and surface heat flux (other ocean parameters are available in the raw data files). Several physical data sets are assimilated to estimate these parameters. VISO Sea Level Anomalies and subtidally averaged tide-guage data provide information of the sea surface height. OSTIA Sea Surface Temperature and AQUARIUS Sea Surface Salinity provide additional sea surface information. Subsurface hydrography derives from several platforms: Argo buoys provide subsurface information broadly throughout our domain. In addition, glider lines in the central and southern California regions are supported by SCCOOS and CeNCOOS. Glider information off the Washington coast is supported by NANOOS. For more information, see http://www.cencoos.org/sections/models/UCSC_ROMS.shtml

United States - Nowcast for Real Imports of Services was 4.59940 % Chg. at Annual Rate in April of 2025, according to the United States Federal Reserve. Historically, United States - Nowcast for Real Imports of Services reached a record high of 44.07020 in July of 2021 and a record low of -59.39540 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nowcast for Real Imports of Services - last updated from the United States Federal Reserve on June of 2025.

Background: The global Landslide Hazard Assessment for Situational Awareness (LHASA) model is developed to provide situational awareness of landslide hazards for a wide range of users. Precipitation is a common trigger of landslides. The Integrated Multi-satellitE Retrievals for GPM (IMERG) data shows recent precipitation, updated every thirty minutes. A LHASA landslide “nowcast” is created by comparing GPM data from the last seven days to the long-term precipitation record provided by the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA). Because IMERG data is only available starting in 2014, the record of historical rainfall was established by TMPA, comparing 2001-present. The TMPA rainfall probability distributions were then compared to that of IMERG and the rainfall thresholds were adjusted so that the IMERG data more closely mapped to those of the TMPA archive. The past 7 days of rainfall are considered, with each day is weighted according to their date before present, with the last twenty-four hours having the most impact.Data Visualization: Landslide Nowcast is shown using a Two Color Ramp (yellow and red). Values represent Moderate (yellow) and High (red) risk of potential landslide.Update Frequency: 3 Hour latency Suggested Usage: In places where precipitation is unusually high, the susceptibility of the terrain is evaluated, which includes quantitative information on if: roads have been built; trees have been cut down or burned; a major tectonic fault is nearby; the local bedrock is weak; the hillsides are steep.Further Reference: Learn more about Global Landslide Model Learn more about GPM's science objectives. Learn more about GPM's applications.

Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.

Graph and download economic data for Nowcast for Real Gross Government Investment: State and Local Government (SLGOVNOW) from Q3 2011 to Q2 2025 about nowcast, state & local, projection, investment, gross, government, real, rate, and USA.

Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.

This paper discusses pooling versus model selection for nowcasting with large datasets in the presence of model uncertainty. In practice, nowcasting a low-frequency variable with a large number of high-frequency indicators should account for at least two data irregularities: (i) unbalanced data with missing observations at the end of the sample due to publication delays; and (ii) different sampling frequencies of the data. Two model classes suited in this context are factor models based on large datasets and mixed-data sampling (MIDAS) regressions with few predictors. The specification of these models requires several choices related to, amongst other things, the factor estimation method and the number of factors, lag length and indicator selection. Thus there are many sources of misspecification when selecting a particular model, and an alternative would be pooling over a large set of different model specifications. We evaluate the relative performance of pooling and model selection for nowcasting quarterly GDP for six large industrialized countries. We find that the nowcast performance of single models varies considerably over time, in line with the forecasting literature. Model selection based on sequential application of information criteria can outperform benchmarks. However, the results highly depend on the selection method chosen. In contrast, pooling of nowcast models provides an overall very stable nowcast performance over time.