This study is a restricted data file of data from the L.A.FANS Neighborhood Observation Study, an in-person observational by trained L.A.FANS interviewers of the census blocks on which L.A.FANS respondents lived during L.A.FANS Wave 1. Interviewers were trained to walk each block face and record social and physical observations on precoded check sheets. Each block face was observed by several different interviewers working independently at different times of the day and week. These data are designed to be used with L.A.FANS Wave-1 survey interview data restricted versions 2.5 or 3 to provide data on the census block and census tract in which individual respondents lived. Users who apply for these restricted data must also be approved for using restricted version 2.5 or 3. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. The study is described in detail in the L.A.FANS Neighborhood Observations Codebook. Further information is available in: Jones, M., Pebley, A. R., and Sastry, N. (2011). Eyes on the block: Measuring urban physical disorder through in-person observation. Social Science Research, 40(2), 523-537.

This study includes a restricted data file for Wave 2 of the L.A.FANS data. To compare L.A.FANS restricted data, version 1 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 2 (study 2). This file adds only a few variables to the L.A.FANS, Wave 2 public use files. Specifically, it adds a "pseudo-tract ID" which is a number from 1 to 65, randomly assigned to each census tract (neighborhood) in the study. It is not possible to link pseudo-tract IDs in any way to real tract IDs or other neighborhood characteristics. However, pseudo-tract IDs permit users to conduct analyses which take into account the clustered sample design in which neighborhoods (tracts) were selected first and then individuals were sampled within neighborhoods. Pseudo-tract IDs do so because they identify which respondents live in the same neighborhood. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 2 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 1 restricted data file.

A Users' Guide which explains the design and how to use the samples are available for Wave 2 at the RAND website.

Additional information on the project, survey design, sample, and variables are available from:

Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024; The Users' Guides (Wave 1 and Wave 2) ; RAND Documentation Reports page;

As of November 2024, the National Football League franchise Los Angeles Rams had around 1.02 million fans on their Facebook page. Meanwhile, the franchise had accumulated 1.26 million followers on their official X (Twitter) page.

This study includes public user data files of two waves of interviews with L.A.FANS respondents. There often are multiple respondents in L.A.FANS households and Wave 2 includes both panel respondents and a new sample. Users' Guides which explain the design and how to use the sample are available for Wave 1 and Wave 2 at the RAND website. The Los Angeles Family and Neighborhood Survey (L.A.FANS) is a two-wave study of adults and children in Los Angeles County and of the neighborhoods in which they live. The first wave (L.A.FANS-1), which was fielded between April 2000 and January 2002, interviewed adults and children living in 3,085 households in a stratified probability sample of 65 neighborhoods throughout Los Angeles County. The samples of neighborhoods and individuals were representative of neighborhoods and residents of Los Angeles County. Poorer neighborhoods and households with children were oversampled. In Wave 2 of L.A.FANS (L.A.FANS-2), Wave 1 respondents living in Los Angeles County were reinterviewed and updated information was collected on Wave 1 respondents who had moved away from Los Angeles County. A sample of individuals who moved into each sampled neighborhood between Waves 1 and 2 was also interviewed, for a total of 2,319 adults and 1,382 children (ages less than 18 years). Additional information on the project is available at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page

As of November 2024, the National Football League franchise Los Angeles Chargers had around 1.46 million fans on Facebook. Meanwhile, the franchise had accumulated approximately 1.13 million followers on their official Twitter page.

The number of X (formerly) Twitter followers of the National Basketball Association (NBA) franchise Los Angeles Lakers increased between October 2023 and April 2024, reaching 12.06 million followers. Meanwhile, the franchise saw its number of Facebook fans drop marginally from 21.87 million to 21.81 million in the same time period.

The Los Angeles Family and Neighborhood Survey (L.A.FANS) is a longitudinal study of families in Los Angeles County and of the neighborhoods in which they live. The L.A.FANS was designed to answer key research and policy questions in three areas: the effects of neighborhoods and families on children's development; the effects of welfare reform at the neighborhood level; and the process of residential mobility and neighborhood change. L.A.FANS offers users the opportunity to study other important issues including: adult health and health disparities, immigrant well-being, social ties and neighborhood interaction, marriage patterns, ethnic identity, family survival strategies, and family dynamics.

As of April 2024, the National Basketball Association (NBA) franchise Los Angeles Clippers had approximately **** million fans on their Facebook page. Meanwhile, the franchise's official X (formerly Twitter) page had registered **** million followers that month.

La Liga is the top division of domestic soccer in Spain. Comprising teams such as FC Barcelona and Real Madrid, the league attracts players and fans from across the globe. During an April 2021 survey in the United States, ** percent of Hispanic respondents stated that they were avid fans of La Liga.

La Liga is the top division of domestic soccer in Spain. Comprising teams such as FC Barcelona and Real Madrid, the league attracts players and fans from across the globe. During an April 2021 survey in the United States, ** percent of male respondents stated that they were avid fans of La Liga.

THIS LAYER IS HOSTED BY FEMA, not NAPSG Foundation. We are simply pointing to their layer with this ArcGIS Online item. The National Flood Hazard Layer (NFHL) dataset represents the current effective flood data for the country, where maps have been modernized. It is a compilation of effective Flood Insurance Rate Map (FIRM) databases and Letters of Map Change (LOMCs). The NFHL is updated as studies go effective. For more information, visit FEMA's Map Service Center (MSC). You can view this information in a standalone viewer here: https://hazards-fema.maps.arcgis.com/apps/webappviewer/index.html?id=8b0adb51996444d4879338b5529aa9cdREST URL: https://hazards.fema.gov/gis/nfhl/rest/services/public/NFHL/MapServerBase Map ConsiderationsThe default base map is from an ESRI service and conforms to FEMA's specification for horizontal accuracy. This base map is composed of the orthoimagery used when the Flood Insurance Rate Maps (FIRMs) were initially created combined with standard imagery products managed by ESRI. This map should be considered the best online resource to use for official National Flood Insurance Program (NFIP) purposes when determining locations in relation to regulatory flood hazard information. If a different base map is used with the NFHL, the accuracy specification may not be met and the resulting map should be used for general reference only, and not official NFIP purposes.Further InformationFor more flood map data, tool, and viewing options, visit the FEMA NFHL page.Several fact sheets are available to help you learn more about FEMA’s NFHL utility: National Flood Hazard Layer (NFHL) GIS Services Users GuideNational Flood Hazard Layer (NFHL): New Products and Services for FEMA's Flood Hazard Map DataNFHL GIS Data: Perform Spatial Analyses and Make Custom Maps and Reports

La Liga Players Performance Dataset

This dataset provides a comprehensive overview of player performance in the La Liga capturing a wide array of metrics related to gameplay, scoring, passing, and defensive actions. With records detailing individual player statistics across different teams, this dataset is a valuable resource for analysts, data scientists, and fans who are interested in diving into player performance data from one of the world’s top soccer leagues.

Each entry represents a single player's profile, featuring data on expected goals (xG), expected assists (xAG), touches, dribbles, tackles, and more. This dataset is ideal for analyzing various aspects of player contribution, both offensively and defensively, and understanding their impact on team performance.

Dataset Columns

Player: Name of the player Team: Team the player belongs to '#' : Player's jersey number Nation: Nationality of the player Position: Primary playing position on the field Age: Age of the player Minutes: Total minutes played Goals: Number of goals scored Assists: Number of assists Penalty Shoot on Goal: Penalty shots taken on goal Penalty Shoot: Total penalty shots attempted Total Shoot: Total shots attempted Shoot on Target: Shots successfully on target Yellow Cards: Number of yellow cards received Red Cards: Number of red cards received Touches: Total ball touches Dribbles: Total dribbles attempted Tackles: Total tackles made Blocks: Total blocks Expected Goals (xG): Expected goals, calculated based on shooting positions and likelihood of scoring Non-Penalty xG (npxG): Expected goals excluding penalties Expected Assists (xAG): Expected assists, based on actions leading to an expected goal (xG) Shot-Creating Actions: Actions leading to a shot attempt Goal-Creating Actions: Actions leading to a goal Passes Completed: Successful passes completed Passes Attempted: Total passes attempted Pass Completion %: Pass completion rate, expressed as a percentage (some entries have missing values here) Progressive Passes: Passes advancing the ball significantly toward the opponent’s goal Carries: Total ball carries Progressive Carries: Carries advancing the ball significantly toward the opponent’s goal Dribble Attempts: Total dribbles attempted Successful Dribbles: Total successful dribbles Date: Date of record collection or game date

Potential Use Cases

Data Visualization: Explore relationships between various performance metrics to identify patterns.

Player Comparisons: Compare individual players based on goals, assists, xG, xAG, and other metrics.

Team Analysis: Evaluate contributions of players within the same team to gain insights into team dynamics.

Predictive Modeling: Use the dataset to build models for predicting game outcomes, goals, or assists based on player performance metrics.

Find detailed analysis in Market Research Intellect's Hand Fans Market Report, estimated at USD 1. 5 billion in 2024 and forecasted to climb to USD 2. 3 billion by 2033, reflecting a CAGR of 5. 2%. Stay informed about adoption trends, evolving technologies, and key market participants.

The global football clubs market, valued at $913.92 million in 2025, is projected to experience robust growth, exceeding a 5% compound annual growth rate (CAGR) through 2033. This expansion is fueled by several key drivers. The increasing popularity of football globally, particularly in emerging markets in Asia and Latin America, is significantly boosting viewership and engagement, leading to higher revenue streams from broadcasting rights, sponsorships, and merchandise sales. The strategic investments by clubs in digital platforms and content creation to enhance fan engagement are also contributing to market growth. Furthermore, the lucrative nature of high-profile player transfers and the continuous expansion of global leagues, like the Premier League, La Liga, and others, are creating new opportunities for revenue generation. The market segmentation reveals the dominance of revenue streams from broadcasting rights and sponsorship deals, highlighting the increasing commercialization of the sport. While the Premier League, La Liga, Serie A, Bundesliga, and Ligue 1 represent the major revenue generating leagues, other clubs worldwide are also witnessing growth, albeit at a smaller scale. Competition within the market is fierce, with top-tier clubs like Real Madrid, Manchester United, Barcelona, and Bayern Munich consistently leading the revenue generation. However, the market is not solely defined by these giants; successful mid-tier clubs are adopting innovative strategies to improve their financial standings, fostering a dynamic and competitive market. Potential restraints include economic downturns impacting sponsorship deals and broadcasting revenues, as well as regulatory changes and geopolitical factors. Nevertheless, the long-term prospects for the football clubs market remain exceptionally positive, driven by increasing globalization, technological advancements, and the enduring global passion for football. The market's continued growth will likely be shaped by strategic partnerships, digital innovation, and the ability of clubs to leverage their brand value effectively in a rapidly evolving media landscape. Recent developments include: September 2023: The Los Angeles Football Club announced the launch of LAFC Gold, a loyalty club designed to recognize LAFC’s most devoted supporters and fans with a host of unprecedented benefits. LAFC Gold is an innovative initiative that recognizes and acknowledges fans’ commitment to meaningful benefits and experiences, including merchandise discounts, partner promotions, premium experiences, and more, wherever they are around the globe., June 2022: PUMA, the global sports company, and Lega Serie launched a new football to mark the beginning of their partnership.. Key drivers for this market are: Active Participation. Potential restraints include: Active Participation. Notable trends are: Rising Active Participation in Football Leagues.

Credit report of Fan Star Distribution 53 Rue De L A contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

The average regular season attendance at Los Angeles Dodgers games in Major League Baseball remained relatively consistent from 2009 to 2024. In 2024, the average attendance was 48,657, up from the previous year's value of 47,371 people.

Learn more about Market Research Intellect's Big Industrial Ventilation Fan Market Report, valued at USD 3.5 billion in 2024, and set to grow to USD 5.2 billion by 2033 with a CAGR of 5.2% (2026-2033).

sea fans (order : alcyonacea) are the most remarkable and easily identifiable species of the subtidal hard substrate communities (gili and ros, 1985). from an ecological point of view, sea fans play an essential role (gili and coma, 1998) by increasing the biomass and the diversity of hard substrates (mitchell et al, 1992; ballesteros, 2006) via an umbrella species role providing habitat for small epifauna and a refuge for many fish (ross and quatrini, 2007). when their density is high enough, they form animal forests (sensu rossi et al 2017) and become engineering species by modifying the level of turbulence and therefore of sedimentation of propagules in the benthic boundary layer (chamberlain and graus, 1975). in the shallow rocky habitats of the mediterranean, five species of sea fans dominate: the white gorgonian eunicella singularis (esper, 1791), the orange gorgonian leptogorgia sarmentosa (esper, 1789), the yellow gorgonian eunicella cavolinii (koch, 1887), the red gorgonian paramuricea clavata (risso, 1826), and the red coral corallium rubrum (linnaeus, 1758). some of these species, characterized by long life span, have been included in the management plans of the gulf of lion marine protected areas, with surveys for the monitoring of the demographic structure of e. singularis (réserve naturelle marine de cerbère-banyuls, aire marine protégée agathoise) and c. rubrum (réserve naturelle marine de cerbère-banyuls, parc marin de la côte bleue). in parallel with these management-related surveys, some scientific studies on the demographic structure and ecology of p. clavata, e. singularis and c. rubrum, with the aim of documenting mass mortality events (cerrano et al. al., 2000, garrabou et al., 2001) have been undertaken in the parc marin de la côte bleue, in the parc national de port-cros, along the côte vermeille and cap de creus coast and in the cinque terre national park (garrabou and harmelin, 2002, torrents et al., 2005 ; linares et al. 2008 linares et al., 2010 ; santangelo et al., 2011; gori et al., 2011a ; gori et al. 2011b; rossi et al., 2008). the present database gathers two extensive inventory of sea fans populations performed between 2013 and 2015 in the gulf of lion and between 2018 and 2019 in the ligurian sea.the same protocol was applied to estimate the population density of the five species in 585 stations. the 585 stations were defined a priori on a regular mesh mapping the main hard-bottom substrate units of the gulf of lion (côte bleue, plateau des aresquiers, plateau du cap d'agde, cap leucate, côte vermeille), and surrounding the ports of toulon, la spezia and bastia (figure 1). the spacing between stations was varied from 100m to 800 m according to bathymetry steepness. each station was geo-referenced from the surface and located on the sea bed with a mooring. counts of individuals of the five species were made by scuba divers trained to species identification in four quadrats (1m x 1m), positionned at 5 m from the mooring along the sea bed, in the four cardinal directions. in total, the sampling required 1500 dives.referencesballesteros e. 2006. mediterranean coralligenous assemblages: a synthesis of present knowledge oceanography and marine biology: an annual review 44, 123-195carpine c, grasshoff m. 1975. les gorgonaires de la mediterranee. bull inst oceanogr monaco 71:1–140cerrano, c., bavestrello g., bianchi c.n., cattaneo r. vietti, s. bava, c. morganti, c. morri, p. picco, g. sara s. schiaparelli s. siccardi a. & sponga, f. 2000. a catastrophic mass-mortality episode of gorgonians and other organisms in the ligurian sea (northwestern mediterranean), summer 1999. ecology letters 3: 284–293.chamberlain j.j. a., graus, r.r. 1975. water flow and hydromechanical adaptations of branched reef corals. : bulletin of marine science 25 (1): 112-125garrabou j., perez t., sartoretto s., harmelin j.g., 2001. mass mortality event in red coral corallium rubrum populations in the provence region (france, nw mediterranean). mar ecol prog ser 217:263–272garrabou j., harmelin g. 2002. a 20-year study on life-history traits of a harvested long-lived temperate coral in the nw mediterranean: insights into conservation and management needs. j anim ecol 71:966–978gili, j.m., & ros, j. 1985. study and cartography of the benthic communities of the medes islands (ne spain). marine ecology 6, 219–238.gili j.m. and coma r. 1998. benthic suspension feeders: their paramount role in littoral marine substrates. tree 13 (8): 316-321gori, a., rossi, s., linares, c., berganzo, e., orejas, c., dale, m. & gili, j.m. 2011a. size and spatial structure in deep versus shallow populations of the mediterranean gorgonian eunicella singularis (cap de creus, northwestern mediterranean sea)” marine biology, doi: 10.1007/s00227-011-1686-7gori a., rossi s., berganzo e., pretus j.l., dale m.r.t., gili j.m. 2011b. spatial[...]

Management of flood hazards on alluvial piedmonts in the southwestern United States isincreasingly important because urban development is rapidly expanding into these areas. Flowsare very infrequent in most desert fluvial systems, yet these events can be extreme becausewatersheds generate large amounts of runoff per unit area during intense precipitation eventsassociated with convective thunderstorms or incursions of dissipating tropical storms.Distributary (downstream-branching) fluvial systems that are common on desert piedmontspresent special challenges because of uncertainties about flow distribution during floods.Portions of many distributary channel networks are incised into Pleistocene surficial deposits. Inthese areas, channel positions are relatively stable and inundation in floods is limited in extent. In active alluvial fan areas, however, topographic relief associated with channels is minimal andareas between channels are covered with Holocene deposits indicative of fairly recent fluvialactivity (Pearthree, 1989; Baker and others, 1990; Pearthree and others, 1992; Field andPearthree; 1997). These latter systems are of particular concern for floodplain managementbecause of complex flow patterns, local high velocity flow, widespread sheet flooding and thepotential for changes in channel position during large floods (NRC, 1996). Hydrologic andhydraulic models commonly used to delineate floodplain areas are not adequate in the complexdistributary environment, and newer, more sophisticated 2-dimensional flow models requirevalidation against real flood flows (Pelletier et al., in review). Flood inundation on active alluvialfans has rarely been documented in detail (Vincent, 2000), however, in part because of thecomplexity of flow and in part because of the requirement that the flood be recognized soon afterits occurrence in order to document the details of flow.

La Liga is the top division of domestic soccer in Spain. Comprising teams such as FC Barcelona and Real Madrid, the league attracts players and fans from across the globe. During an April 2021 survey in the United States, ** percent of respondents aged 35 to 44 stated that they were avid fans of La Liga.