Graph and download economic data for KC Fed Labor Market Conditions Index, Momentum Indicator (FRBKCLMCIM) from Jan 1992 to Jun 2025 about marketable, labor, indexes, and USA.

United States Labour Market Conditions Index: Momentum data was reported at -0.199 Index in Apr 2025. This records an increase from the previous number of -0.769 Index for Mar 2025. United States Labour Market Conditions Index: Momentum data is updated monthly, averaging 0.070 Index from Jan 1992 (Median) to Apr 2025, with 400 observations. The data reached an all-time high of 2.634 Index in Jul 2020 and a record low of -10.986 Index in Apr 2020. United States Labour Market Conditions Index: Momentum data remains active status in CEIC and is reported by Federal Reserve Bank of Kansas City. The data is categorized under Global Database’s United States – Table US.G121: Labour Market Conditions Indicators.

United States - KC Fed Labor Market Conditions , Momentum Indicator was -0.23799 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - KC Fed Labor Market Conditions , Momentum Indicator reached a record high of 2.63994 in July of 2020 and a record low of -11.01976 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - KC Fed Labor Market Conditions , Momentum Indicator - last updated from the United States Federal Reserve on June of 2025.

Financial overview and grant giving statistics of Momentum Work Inc.

Labor Management System Market Outlook

The global Labor Management System (LMS) market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 2.8 billion by 2032, growing at a CAGR of 9.5% during the forecast period from 2024 to 2032. This robust growth is primarily driven by the increasing adoption of advanced technologies in workforce management and the growing need for operational efficiency across various sectors. The market is experiencing significant momentum as industries strive to enhance productivity and cost-effectiveness through optimized labor utilization. Innovations in software solutions that offer greater flexibility and scalability are also key factors contributing to the market's expansion.

One of the major growth factors driving the market is the increasing demand for automation and digitalization across different industry verticals. As businesses aim to streamline their operations and reduce human error, the implementation of AI and machine learning in labor management systems is becoming more prevalent. These technologies not only enhance decision-making processes but also provide predictive analytics that help in better workforce planning and scheduling. The shift towards digital transformation is compelling companies to invest in modern LMS solutions that can integrate seamlessly with existing enterprise systems, thereby significantly improving overall efficiency and productivity.

Another significant growth driver is the evolving nature of the workforce itself. With the rise of the gig economy and remote work, organizations are facing new challenges in managing their labor resources effectively. This has led to a surge in demand for labor management systems that provide real-time tracking, flexible scheduling, and compliance management capabilities. These systems are crucial in ensuring that organizations can adapt to changing workforce dynamics, maintain regulatory compliance, and optimize labor costs. The increasing focus on employee engagement and satisfaction further supports the adoption of innovative LMS solutions that offer self-service tools and mobile access.

The growing emphasis on cost reduction and operational efficiency is also propelling the market forward. In highly competitive industries such as retail, manufacturing, and logistics, companies are under constant pressure to minimize expenses while maximizing output. Labor management systems play a critical role in achieving these objectives by providing insights into workforce performance, identifying areas for improvement, and enabling strategic resource allocation. By leveraging LMS solutions, organizations can reduce overtime costs, eliminate inefficiencies, and improve overall workforce productivity, thereby gaining a competitive edge in the market.

Regionally, North America currently holds the largest share of the LMS market, driven by technological advancements and the widespread adoption of innovative workforce management solutions. The presence of major market players and a rapidly evolving industrial landscape further support market growth in this region. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by increasing industrialization, a growing manufacturing sector, and the rising adoption of digital technologies in emerging economies such as China and India. The European market is also anticipated to experience steady growth, driven by stringent labor regulations and the need for efficient workforce management solutions across various sectors.

Component Analysis

The labor management system market is primarily segmented into two main components: software and services. The software segment is projected to account for the largest market share throughout the forecast period. This growth is attributable to the increasing demand for comprehensive solutions that offer features such as workforce analytics, time and attendance tracking, and scheduling optimization. Companies are investing in sophisticated software that can integrate with existing enterprise systems to provide seamless management of labor resources. The rise of cloud-based solutions has further accelerated the adoption of LMS software, as organizations benefit from scalability, flexibility, and cost-effectiveness.

Within the software segment, cloud-based solutions are gaining significant traction. Organizations are increasingly opting for cloud-based LMS due to their ability to provide real-time data access, enhance collaboration, and facilitate remote workforce management. These solutions offer a cost-effect

Key to regional sustainable development are the development and interplay of population dynamics and social welfare, each playing a significant role. As a representative region with demographic characteristics such as negative population growth and large labor outflow, the development and interaction between population and social welfare in Nanchong deserve in-depth exploration. This article takes the development of population and social welfare in Nanchong as the research object, and constructs an evaluation indicator system of population and social welfare through research backtracking, and uses entropy method and coupling coordination model to measure the development level and interactive effect of population and social welfare in Nanchong from 2010 to 2021. The research results show that: Firstly, the comprehensive evaluation results of population in Nanchong shows a linear upward trend, which indicates the stable positive effect of population structure and distribution, the gradual improvement effect of population quality effectively compensate for the weakening effect of population quantity, thus achieving the positive development of population. Secondly, the comprehensive evaluation results of social welfare in Nanchong shows an exponential upward trend, which indicates the social welfare has maintained a rapid growth momentum in various dimensions and the long-term positive effects have completely absorbed the negative effects, thus achieving the positive development of social welfare. Thirdly, during the sample period, the population and social welfare in Nanchong consistently maintained a high level of interaction strength, with factors diffusing and integrating. On this basis, the diffusion theory is used as an empirical reference to construct three interactive mechanisms between the population and social welfare in Nanchong and the implications are inferred from the empirical results.

Full edition for scientific use. The study examines people's attitudes toward the distribution of income and wealth in Austria, their opinion towards policy initiatives in the fields of taxation, the labor market as well as social affairs, and their satisfaction with the political system.

劳动力市场状况指数：势头在04-01-2025达-0.199指数，相较于03-01-2025的-0.769指数有所增长。劳动力市场状况指数：势头数据按月更新，01-01-1992至04-01-2025期间平均值为0.070指数，共400份观测结果。该数据的历史最高值出现于07-01-2020，达2.634指数，而历史最低值则出现于04-01-2020，为-10.986指数。CEIC提供的劳动力市场状况指数：势头数据处于定期更新的状态，数据来源于Federal Reserve Bank of Kansas City，数据归类于全球数据库的美国 – Table US.G121: Labour Market Conditions Indicators。

The study of the motion of a rigid body on a plane (RBP motion) is usually one of the most challenging topics that students face in introductory physics courses. In this paper, we discuss a couple of problems which are typically used in basic physics courses, in order to highlight some aspects related to RBP motion which are not usually well understood by physics students. The first problem is a pendulum composed of a rod and disk. The angular frequency of the pendulum is calculated in two situations: disk fixed to the rod and disk free to spin. A detailed explanation of the change in the angular frequency from one case to another is given. The second problem is a ladder which slides touching a frictionless surface. We use this problem to highlight the fact that the contact forces applied by the surface perform translational and rotational work despite that the total mechanical energy of the ladder is conserved.

Gig-Worker Benefits Platform Market Outlook

According to our latest research, the global Gig-Worker Benefits Platform market size reached USD 3.2 billion in 2024, reflecting the rapid expansion of digital labor ecosystems and the increasing demand for flexible work arrangements. The market is expected to grow at a CAGR of 13.7% from 2025 to 2033, with the forecasted market size projected to reach USD 9.2 billion by 2033. This robust growth is primarily driven by the rising number of gig workers worldwide and the growing recognition among enterprises and governments of the need to provide portable, accessible benefits to this dynamic workforce segment.

One of the foremost growth factors propelling the Gig-Worker Benefits Platform market is the exponential rise in the global gig economy. As more professionals opt for freelancing, rideshare driving, delivery services, and other on-demand jobs, there is a pressing need for platforms that can seamlessly deliver essential benefits such as health insurance, retirement plans, and financial wellness programs. The traditional employment model, which historically bundled benefits with full-time roles, is being disrupted, creating a significant market opportunity for digital platforms tailored to gig workers. These platforms are leveraging advanced technologies to offer scalable, customizable, and user-friendly solutions that address the unique needs of this workforce, further fueling market expansion.

Another critical driver is the shifting regulatory landscape and the proactive stance of governments and industry bodies toward gig-worker welfare. Across regions such as North America and Europe, there is increasing legislative momentum to mandate or incentivize the provision of benefits to independent contractors and platform-based workers. This regulatory push is compelling gig economy platforms and enterprises to partner with benefits providers, accelerating the adoption of gig-worker benefits platforms. Additionally, the growing awareness among gig workers about the importance of social security, health coverage, and upskilling opportunities is boosting platform engagement rates, as workers seek to mitigate the vulnerabilities associated with non-traditional employment.

Technological advancements and digital transformation are further catalyzing the growth of the Gig-Worker Benefits Platform market. The proliferation of cloud-based solutions, artificial intelligence, and data analytics is enabling benefits platforms to offer highly personalized, real-time services to gig workers, regardless of their location or employment status. These innovations are not only enhancing user experience but also improving the operational efficiency of benefits administration. As platforms continue to integrate with payment systems, HR tools, and compliance modules, they are becoming indispensable partners for gig economy businesses seeking to attract and retain top talent. This confluence of technology and market demand is expected to sustain the market’s upward trajectory through the forecast period.

Regionally, North America remains the dominant market for gig-worker benefits platforms, owing to its mature gig economy, high digital adoption rates, and supportive regulatory frameworks. However, Asia Pacific is rapidly emerging as a high-growth region, driven by the proliferation of mobile-first gig platforms and a burgeoning population of young, tech-savvy freelancers. Europe also presents significant opportunities, particularly as the European Union and member states introduce new directives to enhance gig-worker protections. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth, albeit from a smaller base, as local startups and global players expand their offerings to underserved markets. This regional diversification is expected to shape the competitive dynamics and innovation landscape of the global gig-worker benefits platform market.

Component Analysis

The Component segment of the Gig-Worker Benefi

Key to regional sustainable development are the development and interplay of population dynamics and social welfare, each playing a significant role. As a representative region with demographic characteristics such as negative population growth and large labor outflow, the development and interaction between population and social welfare in Nanchong deserve in-depth exploration. This article takes the development of population and social welfare in Nanchong as the research object, and constructs an evaluation indicator system of population and social welfare through research backtracking, and uses entropy method and coupling coordination model to measure the development level and interactive effect of population and social welfare in Nanchong from 2010 to 2021. The research results show that: Firstly, the comprehensive evaluation results of population in Nanchong shows a linear upward trend, which indicates the stable positive effect of population structure and distribution, the gradual improvement effect of population quality effectively compensate for the weakening effect of population quantity, thus achieving the positive development of population. Secondly, the comprehensive evaluation results of social welfare in Nanchong shows an exponential upward trend, which indicates the social welfare has maintained a rapid growth momentum in various dimensions and the long-term positive effects have completely absorbed the negative effects, thus achieving the positive development of social welfare. Thirdly, during the sample period, the population and social welfare in Nanchong consistently maintained a high level of interaction strength, with factors diffusing and integrating. On this basis, the diffusion theory is used as an empirical reference to construct three interactive mechanisms between the population and social welfare in Nanchong and the implications are inferred from the empirical results.

This dataset is about books. It has 1 row and is filtered where the book is Angular momentum : an illustrated guide to rotational symmetries for physical systems. It features 7 columns including author, publication date, language, and book publisher.

Supporting data for the published work on "Terahertz orbital angular momentum modes with flexible twisted hollow core antiresonant fiber". The data here reported are all the necessary data to reproduce the figures in the paper both measurements an simulations (except for the analytical results, which are obtained directly from the formulas included in the paper). The Info file describes each file, how they have been obtained and what they have been used for. For information about how to process the data fell free to send me an email at: alessio.stefani@sydney.edu.au. The programs will be share under reasonable request.

Two-particle transverse momentum differential correlators, recently measured in Pb$-$Pb collisions at LHC energies, provide an additional tool to gain insights into particle production mechanisms and infer transport properties, such as the ratio of shear viscosity to entropy density, of the medium created in Pb$-$Pb collisions. The longitudinal long-range correlations and the large azimuthal anisotropy measured at low transverse momenta in small collision systems, namely pp and p$-$Pb, at LHC energies resemble manifestations of collective behaviour. This suggests that locally equilibrated matter may be produced in these small collision systems, similar to what is observed in Pb$-$Pb collisions. In this work, the same two-particle transverse momentum differential correlators are exploited in pp and p$-$Pb collisions at $\sqrt{s} = 7\;\text{TeV}$ and $\sqrt{s_{\rm NN}} = 5.02\;\text{TeV}$, respectively, to seek evidence for viscous effects. Specifically, the strength and shape of the correlators are studied as a function of the produced particle multiplicity to identify evidence for longitudinal broadening that might reveal the presence of viscous effects in these smaller systems. The measured correlators and their evolution from pp and p$-$Pb to Pb$-$Pb collisions are additionally compared to predictions from Monte Carlo event generators, and the potential presence of viscous effects is discussed.

CERN-LHC. In quantum scattering processes between two particles, aspects characterizing the strong and Coulomb forces can be observed in kinematic distributions of the particle pairs. The sensitivity to the interaction potential reaches a maximum at low relative momentum and vanishing distance between the two particles. Ultrarelativistic heavy-ion collisions at the LHC provide an abundant source of many hadron species and can be employed as a measurement method of scattering parameters that is complementary to scattering experiments. This study confirms that momentum correlations of particles produced in Pb--Pb collisions at the LHC provide an accurate measurement of kaon--proton scattering parameters at low relative momentum, allowing precise access to the K- p --> K- p process. This work also validates the femtoscopic measurement in ultrarelativistic heavy-ion collisions as an alternative to scattering experiments and a complementary tool to the study of exotic atoms with comparable precision. In this work, the first femtoscopic measurement of momentum correlations of K- p (K+ ap) and $\K+ p (k- ap) pairs in Pb--Pb collisions at centre-of-mass energy per nucleon pair of Sqrt(s_NN)=5.02~TeV registered by the ALICE experiment is reported. The components of the K- p complex scattering length are extracted and found to be Re f_0=-0.91 +/- ~{0.03}(stat)^{+0.17}_{-0.03}(syst) and Im f_0 = 0.92+/-~{0.05}(stat)^{+0.12}_{-0.33}(syst). The results are compared with chiral effective field theory predictions as well as with existing data from dedicated scattering and exotic kaonic atom experiments.

Gig-Worker Benefits Platform Market Outlook

According to our latest research, the global Gig-Worker Benefits Platform market size reached USD 2.36 billion in 2024, reflecting robust momentum driven by the evolving needs of the gig economy. The market is expected to expand at a CAGR of 18.4% from 2025 to 2033, reaching a forecasted valuation of USD 12.37 billion by 2033. This growth is primarily fueled by increasing gig workforce participation, regulatory attention to worker welfare, and rising demand for flexible, technology-driven benefits solutions tailored for non-traditional employment models.

The surge in gig-economy participation worldwide is one of the most significant growth drivers for the Gig-Worker Benefits Platform market. As organizations and individuals increasingly embrace project-based, freelance, and on-demand work models, the need for scalable, accessible, and portable benefits platforms has become paramount. Traditional employment benefits rarely extend to gig workers, creating a gap that innovative digital platforms are now filling. These platforms offer health insurance, retirement savings, financial wellness, and other essential benefits, empowering gig workers to enjoy similar protections as full-time employees. The proliferation of digital platforms and mobile-first solutions further amplifies adoption, making it easier for gig workers to access and manage their benefits in real time.

Another key factor propelling market growth is the increasing regulatory and societal scrutiny around the welfare of gig workers. Governments and labor organizations across North America, Europe, and Asia Pacific are introducing new policies and frameworks to ensure that gig workers have access to basic social protections. This regulatory push is compelling gig platforms, aggregators, and enterprises to partner with benefits technology providers, accelerating the integration of comprehensive benefits offerings into gig marketplaces. Furthermore, the competitive landscape among gig platforms is driving differentiation through enhanced worker benefits, with leading players investing in robust benefits ecosystems to attract and retain top gig talent.

Technological advancements are also playing a pivotal role in shaping the Gig-Worker Benefits Platform market. The rise of cloud computing, artificial intelligence, and data analytics is enabling personalized, scalable, and cost-effective benefits administration for gig workers. These technologies facilitate seamless onboarding, real-time claims processing, and tailored benefits recommendations based on individual worker profiles and preferences. Additionally, the integration of financial wellness tools and upskilling resources within benefits platforms is enhancing the overall value proposition, positioning these solutions as essential enablers of gig worker well-being and productivity.

From a regional perspective, North America currently leads the market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, is witnessing rapid adoption owing to the high penetration of gig platforms and progressive regulatory initiatives. Europe is benefiting from strong labor protections and the growing prevalence of freelance marketplaces, while Asia Pacific is emerging as a high-growth region due to the expanding digital workforce and supportive government policies. Latin America and the Middle East & Africa, though still nascent, are expected to register notable growth rates as gig economies mature and digital infrastructure improves.

Component Analysis

The Component segment of the Gig-Worker Benefits Platform market is bifurcated into Software and Services. Software solutions form the backbone of the market, enabling the digital administration, management, and delivery of benefits to gig workers. These platforms are designed to be highly scalable and modular, catering to the diverse needs of gig workers across various industries and geographies. Advanced software platforms offer features such as benefits enrollment, real-time claims processing, compliance management, and personalized dashboards. The adoption of cloud-based software is particularly high, given its flexibility, accessibility, and cost-efficiency for both platform providers and end-users.

Services, on the other hand, play a critical role in complementing software

Full edition for scientific use. This survey covers the period between April and November 2020 and addresses the impact that the school closures during the lockdowns had on families during the beginning of the COVID19 pandemic. Where possible and appropriate, data were collected for the second parent in the household via proxy. This study was carried out by SORA on behalf of the Momentum Institut. The following topics were covered: a) Parents' employment situation: job position, industry; b) Work situation before, during, and after the lockdowns: actual hours worked, home office yes/no, special care hours yes/no; c) Reconcilability of work and child care: work during off-hours, division of work and child care in the family, support of children during distance learning; d) Only April 2020: Remaining Days Off and Usage; e) Economic situation of the family; f) Sociodemographic data on the family situation.

In this hands-on activity rolling a ball down an incline and having it collide into a cup the concepts of mechanical energy, work and power, momentum, and friction are all demonstrated. During the activity, students take measurements and use equations that describe these energy of motion concepts to calculate unknown variables and review the relationships between these concepts.

Data for the publication "Chiral Electron Momentum Distribution upon Strong-Field Ionization of Atoms"

Authors:
A. Geyer, J. Stindl, I. Dwojak, M. Hofmann, N. Anders, P. Roth, P. Daum, J. Kruse, S. Jacob, S. Gurevich, N. Wong, M. S. Schöffler, L. Ph. H. Schmidt, T. Jahnke, M. Kunitski, R. Dörner, and S. Eckart

Abstract:
We present a scheme to synthesize a three-dimensional laser field that produces a chiral electron momentum distribution upon strong-field ionization of atoms. Our approach employs two orthogonally propagating two-color laser beams. This results in a time-dependent three-dimensional electric field vector of the combined light field which varies for different positions within the focal volume. For each position, we conduct a simulation of the corresponding electron momentum distributions that includes non-adiabatic dynamics and Coulomb interaction after tunneling. For suitable laser parameters, only a small region of the focal volume contributes to the final momentum distribution. Thus, integrating over all position coordinates, a specific chiral laser field dominates. This leads to a volume-averaged electron momentum distribution, which is chiral, as well. This work will serve as a benchmark for future strong-field experiments aiming at the synthetization of well-defined, three-dimensional laser fields.

This dataset is about books. It has 1 row and is filtered where the book is Accelerate : 20 practical lessons to boost business momentum. It features 7 columns including author, publication date, language, and book publisher.