Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

This table contains percentiles of income and wealth. These amounts are used in the classification of households into 10 % groups and 20 % groups, as used in various StatLine tables and publications. The 10th percentile is used as the upper limit for the first 10 % group, the 20th percentile as upper limit for the second 10 % group, and so on. The target population consists of all private households with well-known incomes, from which student households of their choice can be excluded. Reference date is 1 January of the reporting year. For the target population excluding student households, no percentiles of primary and gross income and wealth are shown.

Data available from: 2011

Status of the figures: The figures in this table for 2011 to 2019 are final. The figures for 2020 are provisional.

Changes as of 19 October 2021: The final figures 2019 and the 2020 provisional figures have been added.

Changes as of 21 April 2021: Due to the availability of new sources and improvements in the methodology, the power figures have changed.

When are new figures coming? New figures are expected each year around October.

Pensioners for age limit, by sex and age groups, 2006-2017

Mammal social groups vary considerably in size from single individuals to very large herds. In some taxa, these groups are extremely stable, with at least some individuals being members of the same group throughout their lives; in other taxa, groups are unstable, with membership changing by the day. We argue that this variability in grouping patterns reflects a tradeoff between group size as a solution to environmental demands and the costs created by stress-induced infertility (creating an infertility trap). These costs are so steep that, all else equal, they will limit group size in mammals to ∼15 individuals. A species will only be able to live in larger groups if it evolves strategies that mitigate these costs. We suggest that mammals have opted for one of two solutions. One option (fission-fusion herding) is low cost but high risk; the other (bonded social groups) is risk-averse, but costly in terms of cognitive requirements.

This statistic shows the share of people from ** countries worldwide who believed that limits should be imposed on war in 2016, by country group. ** percent of those in countries affected by armed conflict believed it still makes sense to impose limits on war in 2016.

ArcGIS groups allow your students to submit their materials and view StoryMaps created by their classmates without publishing them for the world to see. You should create a single group for your whole class and can, if you like, create additional groups for sections, working groups, etc.From your ArcGIS homepage, click Groups in the headerClick “Create group.” Give the group a title and description that matches your course. If you are also going to create groups for your sections or for other subsets of the class, we suggest including the words WHOLE CLASS in the title.Change the group settings to limit viewership to group members and membership to organization members, as below. Make sure that all group members are given permission to contribute content.

Financial overview and grant giving statistics of No Limit Outreach Group Inc.

Local Government Debt Limit: New: Xinjiang: Production & Construction Group data was reported at 19,100.000 RMB mn in 2024. This records an increase from the previous number of 14,000.000 RMB mn for 2023. Local Government Debt Limit: New: Xinjiang: Production & Construction Group data is updated yearly, averaging 13,000.000 RMB mn from Dec 2015 (Median) to 2024, with 10 observations. The data reached an all-time high of 50,600.000 RMB mn in 2020 and a record low of 0.000 RMB mn in 2017. Local Government Debt Limit: New: Xinjiang: Production & Construction Group data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Debt Limit: by Region: Annually.

Women and Men in Spain: Gross monthly salary of the main job. Lower limits and average values of each decile. Annual. National.

Graph and download economic data for Large Bank Consumer Credit Card Originations: Median Original Credit Limit by Credit Score Group: 660-719 Credit Score (RCCCOLIMMEDSCORE660T719) from Q3 2012 to Q1 2025 about score, FR Y-14M, origination, consumer credit, credit cards, large, credits, loans, consumer, median, banks, depository institutions, and USA.

This dataset is about book series. It has 1 row and is filtered where the books is Stable probability measures on Euclidean spaces and on locally compact groups : structural properties and limit theorems. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This data set is no longer being updated and is historical, last update 10/10/2022.A summary of reported data by age groups from Contact Tracking and Tracking (CTT) for Jefferson County, KY. This data provides weekly counts as reported on the MMWR week by age groups for both total cases and cases of non-congregate setting only. Fieldname Definition REPORTED date/time stamp indicating when the data was reported FORMRECEIVED_WEEK_ENDING last date of the week for the aggregate grouping AGE_GROUP lower limit of the age group identified CONFIRMED_by_age number of confirmed cases in age group during week identified non_CongregateSetting number of confirmed cases in non-congregate setting by age group during week identified CongregateSetting number of confirmed cases in congregate setting by age group during week identified Note: This data is preliminary, routinely updated, and is subject to change.For questions about this data please contact Angela Graham (Angela.Graham@louisvilleky.gov) or YuTing Chen (YuTing.Chen@louisvilleky.gov) or call (502) 574-8279.

Party-size limitations were updated as part of the SEKI Wilderness Stewardship Plan (WSP) 2015. Original GIS data were developed in 2013, derived from a hand-drawn map provided by the Wilderness Office and a flyer that described Group Size Limits for 2012. The 2012 Group Size Limits indicated that in specific areas, groups that travel one-half mile off maintained trails were limited to no more than 8 individuals. Redwood Canyon area had day use group size limit of 10, and the remainder of the park had a group size limit of 15.The WSP retains some existing limitations: maximum party size for on-trail (day use) is 25 and maximum party size for on-trail (overnight use) is 15. Off-trail (day and overnight use) is 12, with the following exceptions: a maximum party size limit of 8 is established in Darwin Canyon / Lamarck Col (includes Class 1 trail area), Dusy Basin, Mount Whitney Management Area / Mount Langley (includes Class 1 trail area), Sixty Lake Basin, Sphinx Lakes, Don Cecil Trail, and the Colony Mill Road Trail; and a maximum party size limit of 10 is established in Redwood Canyon.Attributes were updated in 2015 to capture the above changes, with “on-trail” defined as a ½ mile buffer from any formal trail, and a new field was added that contains additional details on each restriction. Map topology was run based on other regulatory data.

Among mammals, bovids provide some of the most striking examples of sexual dimorphism in colouration and pelage appendages, such as beards and manes. This dimorphism is usually assumed to have evolved through sexual selection on males in the context of intra- or intersexual communication. However, the sexes look similar in several bovid species thought to be characterized by large opportunities for sexual selection, hinting at fitness costs of dimorphic traits due to other selection pressures. This study applies the comparative method with phylogenetic control to identify the factors promoting and constraining the evolution of dimorphism in colouration and pelage appendages across bovids. We found that trait dimorphism correlated positively with large breeding group size, an indicator of the intensity of sexual selection, and negatively with male territoriality, which is also likely to affect the operation of sexual selection. The relative rarity of colour and pelage dimorphism in species with territorial mating systems may be explained by weaker sexual selection due to difficulty in monopolizing females and/or sexual selection targeting other traits, such as territorial quality as an extended phenotype. We also found that colour and pelage dimorphism were reduced in species spending more time in mixed-sex groups outside the breeding season, possibly due to increased predation costs from non-uniformity This suggests that benefits from integration into mixed-sex groups select against the extravagant male morphologies otherwise promoted by sexual selection. Methods Data on colouration sexual dimorphism (CSD) and pelage appendage sexual dimorphism (PASD) were collected for 110 species in the family Bovidae. The scores for CSD and PASD were obtained by visual scoring of images from males and females of each species (range 2-8 pictures per species) obtained from: www.arkive.com; www.encyclopediaoflife.com; www.ultimateungulate.com; Costello JR. (2016). Bovids of the world. Princeton (USA): Princeton University Press. All pictures referred to the same subspecies. CSD was scored on eight distinct body regions: (i) head; (ii) neck; (iii) flank, shoulder, humerus; (iv) rump, femur; (v) upper front leg; (vi) lower front leg; (vii) upper hind leg; and (viii) lower hind leg. CSD for each body region was scored according to a three-point scale: 0 - no difference; 1 - the difference in background colour or contrast markings (i.e. presence in one sex only); 2 - the difference in both background colour and contrast markings. Background hair colour was compared to a reference of five colour categories: (i) white (de-pigmented); (ii) phaeomelanin - yellow/red; (iii) eumelanin - brown; (iv) eumelanin – grey; and (v) eumelanin - black. The background colour was scored as dimorphic if the same body region was assigned to different categories in males and females. The overall CSD index presented in this dataset was calculated as the sum of the scores for all eight body regions. PASD was scored on inter-sexual differences in (i) frontal hair tuft; (ii) beard or ventral mane; (iii) dorsal mane; (iv) cape (covering both dorsal and ventral parts of the neck); (v) front leg pantaloons; and (vi) hind leg pantaloons. A four-point visual scale was used: 0 - no difference in the pelage appendage between the sexes; 1 – the appendage differs in either size or colour between the sexes; 2 – the appendage differs in both size and colour between the sexes; 3 – the appendage is present in one sex only. The overall PASD index presented in this dataset was calculated as the sum of scores for all the pelage appendages in each species. Sexual aggregation in this dataset was defined as the tendency for males and females to form mixed-sex herds outside of the breeding context, and scored on a three-point scale: 1 – never forming mixed-sex groups with multiple males (including species in which males are solitary or live in segregated, unisexual groups, only joining female groups in search of mating opportunities); 2 - sometimes forming multi-male mixed-sex groups (including species in which only some males are found in multimale mixed-sex groups, either because not all males join these groups or because associations are temporary, e.g. during migrations); and 3 - generally forming multi-male mixed-sex groups (including species in which the sexes typically aggregate, although some males may temporarily join bachelor groups). The scoring was based on available published material listed in the Supplementary Material to the manuscript. Habitat openness was scored based on the probability of detecting large mammals in each of the nine different IUCN habitat categories (www.iucnredlist.org): tropical forest (0.1), temperate forest (0.2), wetland (0.3), tropical shrubland (0.5), temperate shrubland (0.6), savannah (0.7), grassland (0.8); rocky areas (0.8), and desert (0.95). The species-specific score for habitat openness was calculated as the mean detection probability across all habitat categories occupied by the species. Data for average breeding group size (Group Size) and male mating strategy (Male Mating Strategy) were derived from published literature reported in the Supplementary Material to the manuscript. Male mating strategy was defined as T (territorial) or NT (non-territorial).

India SCB: Credit Limit: Household Sector: Others: Joint Liability Groups, NGOs, Trusts and Groups data was reported at 1,284,628.069 INR mn in 2018. This records an increase from the previous number of 1,088,207.042 INR mn for 2017. India SCB: Credit Limit: Household Sector: Others: Joint Liability Groups, NGOs, Trusts and Groups data is updated yearly, averaging 241,812.000 INR mn from Mar 2002 (Median) to 2018, with 17 observations. The data reached an all-time high of 1,284,628.069 INR mn in 2018 and a record low of 88,702.200 INR mn in 2004. India SCB: Credit Limit: Household Sector: Others: Joint Liability Groups, NGOs, Trusts and Groups data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAH025: Scheduled Commercial Banks: Credit Outstanding: by Organisation.

Financial overview and grant giving statistics of No Limits Theater Group Inc.

Local Government Debt Limit: New: General: Xinjiang: Production & Construction Group data was reported at 8,000.000 RMB mn in 2024. This stayed constant from the previous number of 8,000.000 RMB mn for 2023. Local Government Debt Limit: New: General: Xinjiang: Production & Construction Group data is updated yearly, averaging 6,900.000 RMB mn from Dec 2015 (Median) to 2024, with 10 observations. The data reached an all-time high of 27,200.000 RMB mn in 2020 and a record low of 0.000 RMB mn in 2017. Local Government Debt Limit: New: General: Xinjiang: Production & Construction Group data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Debt Limit: by Region: Annually.

Credit report of Walt Technology Group Company Limit 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.

Find out details of Omni Health And Fitness Group Limit exporting to United States.Shipments data from Global bill of Lading.

Proximate cues for animal dispersal are complex and varied. Multiple cues may provide information about different aspects of habitat quality, and these aspects may interact with each other, as well as with population density in different ways. We examined how individuals incorporate multiple cues in their decisions to emigrate and immigrate in the colonial orb-weaving spider, Cyrtophora citricola. We manipulated maternal feeding as a cue for prey abundance and measured the size of the maternal web, which provides a limited space for philopatric offspring and a second potential dispersal cue. In addition, we recorded all immigration events to determine dispersal distances and the cues juveniles may use in settlement. Dispersal increased when mothers were poorly fed, web sizes were small, and clutch sizes were large. In addition to these overall effects, maternal feeding also interacted with web size, indicating that offspring from well-fed mothers were more tolerant of high sibling densities. We also detected a threshold for the effect of clutch size on dispersal for the first egg sac: below 20 offspring, there was no effect of clutch size, but dispersal increased with clutch size for larger clutches. Dispersal distances were often short, and immigrants preferred sheltered trees and those occupied by adult females. Dispersal not only depended on multiple cues, but these cues interacted, and the importance of web size suggested that saturation of the natal web might force dispersal, at least for spiders with poorly-fed mothers. How one aspect of habitat quality influences dispersal can therefore depend on the state of other aspects of habitat quality. In particular, some natal resources, such as a nest or territory, may become saturated and limit group size, but this limit will also depend on other factors, such as prey availability.